[ { "slug": "scale-ai-senior-full-stack-software-engineer-forward-deployed-gps-saudi-arabia", "company": "Scale AI", "logo_url": "", "title": "Senior Full-Stack Software Engineer, (Forward deployed), GPS", "title_normalized": "senior full-stack software engineer, (forward deployed), gps", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health. Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions. A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software. Driven async communication methodologies to reduce communication frictions Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape Nice to haves: Proficient in Arabic Past experience working in a forward deployed engineer / dedicated customer engineer role Experience working cross functionally with operations PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "Riyadh, Saudi Arabia", "city": "", "country": "Saudi Arabia", "remote_type": "onsite", "department": "GPS Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4732394005", "apply_type": "redirect", "posted_at": "2026-09-10", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "docker", "gcp", "kubernetes", "python", "react", "typescript" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4732394005" }, { "slug": "scale-ai-staff-full-stack-software-engineer-forward-deployed-gps-saudi-arabia", "company": "Scale AI", "logo_url": "", "title": "Staff Full-Stack Software Engineer, (Forward Deployed), GPS", "title_normalized": "staff full-stack software engineer, (forward deployed), gps", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems. 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability. Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments. Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems. A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization. A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction. Nice to haves: Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role Experience working cross functionally with operations Proficient in Arabic For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "Riyadh, Saudi Arabia", "city": "", "country": "Saudi Arabia", "remote_type": "onsite", "department": "Corporate", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4732430005", "apply_type": "redirect", "posted_at": "2026-09-10", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "gcp", "kubernetes", "llm", "python", "react" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4732430005" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-middle-east-remote", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist (Middle East)", "title_normalized": "forward deployed engineer, infrastructure specialist (middle east)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. IN THIS ROLE, YOU WILL: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. - Travel to customer premises between 20-40% YOU MAY BE A GOOD FIT IF: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You are fluent in Arabic and English IT'S A BONUS IF YOU HAVE… - Familiarity with GPU node orchestration & scheduling - You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Middle East", "city": "", "country": "", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/291e5dee-dcda-49e6-a1b6-dae0d48f80af", "apply_type": "redirect", "posted_at": "2026-09-10", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "291e5dee-dcda-49e6-a1b6-dae0d48f80af" }, { "slug": "anthropic-applied-ai-architect-beneficial-deployments-life-sciences-london", "company": "Anthropic", "logo_url": "", "title": "Applied AI Architect, Beneficial Deployments (Life Sciences)", "title_normalized": "applied ai architect, beneficial deployments (life sciences)", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the Role We're looking for an Applied AI Architect to join Beneficial Deployments, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem, from early discovery in academia to paradigm-shifting biotech to reimagining pharma pipelines. This role combines technical expertise with deep relationship-building. You'll be the primary technical advisor for our life sciences partners, including flagship research institutions like The Howard Hughes Medical Institute (HHMI) and The Allen Institute. You'll drive engagements from discovery through deployment, working closely with the life sciences segment lead and Applied AI Engineers to deliver impact. This role will be part of the founding Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier. Responsibilities Serve as the primary technical advisor to life sciences research institutions and mission-driven organizations throughout their Claude adoption journey. Partner with the segment lead to understand scientific workflows end-to-end and translate them into impactful solutions from discovery through deployment. Transform partners into AI-native organizations through Claude Code and Claude Science enablements and research and business process evolution, so they can operate more effectively and build for where AI capabilities are headed. Design and lead cohort-based accelerators to scale our expertise and impact across multiple institutions at once.Identify what's actually hard about deploying AI in life sciences and feed those findings back to product, engineering, and research. Spot patterns across partners to inform what we build at the ecosystem level, including MCP servers for domain-specific data sources, scientifically grounded benchmarks and evals, and reusable agent skills. Create technical presentations, demos, and scalable content (documentation, tutorials, sample code) so what works for one institution can scale globally without the same level of hand-holding. Travel occasionally to partner sites for workshops, technical deep dives, and relationship building. Help shape team processes and culture as we scale from 1 to N. You Might Be a Good Fit If You Have 8+ years in a technical role, ideally with customer-facing exposure (Solutions Architect, Customer Engineer, Sales Engineer, Technical Account Manager, Product Engineer, Forward Deployed Engineer) Experience in life sciences, biomedical research, or scientific computing. Bonus if you've worked in genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience working in or building trust with academic research institutions, biotech, pharma, or other mission-driven scientific organizations, and an understanding of their unique challenges and constraints Familiarity with common LLM implementation patterns, including prompt and context engineering, evaluation frameworks, agent architectures, and retrieval frameworks A love of teaching, mentoring, and helping others succeed A scrappy mentality: comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:£165,000—£190,000 GBPLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely of", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5413642008", "apply_type": "redirect", "posted_at": "2026-09-09", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "go", "llm" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5413642008" }, { "slug": "openai-physical-design-engineer-forward-deployed-engineering-san-francisco", "company": "OpenAI", "logo_url": "", "title": "Physical Design Engineer, Forward Deployed Engineering", "title_normalized": "physical design engineer, forward deployed engineering", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the Team OpenAI’s Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially improve engineering workflows and accelerate innovation. Our work turns early, high-touch deployments into repeatable solution patterns, reference architectures, and evaluation practices that scale across the semiconductor ecosystem. About the Role We are seeking a highly skilled Physical Design Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is a senior IC role that will begin with a strong emphasis on physical design expertise, technical judgment, advisory leverage, and customer credibility, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time. In the near term, you will serve as the team’s physical design SME across semiconductor deployments: helping FDEs, Product, and Research understand backend implementation workflows, pressure-test AI-assisted solution ideas against real physical design constraints, and raise the quality of our customer-facing technical work. You will help the broader team build fluency in implementation flows, EDA tooling, signoff methodology, and the trade-offs that shape physical design decisions in practice. Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions. This is a strong fit for someone who brings deep physical design expertise today and is excited to grow into a customer-facing, systems-building, delivery-oriented FDE role. In this role, you will: - Serve as the physical design SME for semiconductor customer engagements, helping FDE teams understand backend implementation workflows, constraints, and opportunities - Partner with FDEs during customer discovery and scoping to translate ambiguous pain points into clear solution hypotheses, success criteria, and technical plans - Support customer-facing technical conversations as a trusted advisor, engaging credibly with technical leaders - Help shape AI-assisted solutions across physical design workflows, including floorplanning, place and route, clocking, timing closure, congestion, power, physical verification, and signoff - Guide feasibility and integration decisions across the entire chip design lifecycle: design, verification, and physical design - Partner with FDEs and customer SMEs to curate evaluation datasets, golden tasks, rubrics, and acceptance criteria for physical design use cases, ensuring evals reflect real workflows and meaningful success metrics - Build or guide lightweight prototypes, benchmarks, methodology experiments, and internal tools that validate opportunities and accelerate solution development - Educate and mentor the broader FDE team on physical design concepts, implementation flows, EDA tooling, and key trade-offs so the org can engage customers with greater depth and confidence - Surface repeated customer signal to Product and Research to help shape roadmap, model behavior, and platform capabilities for semiconductor use cases - Progressively take on broader FDE responsibilities, including customer discovery, solution architecture, prototype development, production deployment, and ownership of technical workstreams Minimum Qualifications - BS with 7+ years, MS with 5+ years, or equivalent industry experience in physical design, physical implementation, or backend signoff for complex ASIC or SoC programs - Demonstrated success bringing complex designs through tapeout, with hands-on experience in floorplanning, place and route, CTS, timing closure, power analysis, physical verification, and signoff - Deep familiarity with industry-standard EDA tools and flows for synthesis, PNR, STA, physical verification, equivalence checking, and power analysis - Strong understanding of how physical design intersects with microarchitecture, RTL, verification, design methodology, libraries/PDKs, and system-level PPA trade-offs - Strong communication and collaboration skills, with the ability to translate deep technical trade-offs clearly in customer-facing and cross-functional settings - Comfortable operating as a consultative expert and advisor — unblocking teams, shaping decisions, and raising technical quality without necessarily being the direct implementation owner - Strong scripting and automation skills in Python, Tcl, or similar - Excited to grow beyond domain SME responsibilities into a broader Forward Deployed Engineering role, including hands-on solution building, customer-facing delivery, and ownership of deployment outcomes Preferred Qualifications - Experience working across multiple semiconductor companies, design environments, or tool stacks, with a point of view shaped by different engineering cultures and methodologies - Experience partnering with external customers, strategic accounts, or design partners in a technical advisory capacity - Experience defining or scaling evaluation workflows, benchmarks, or acceptance criteria - Exposure to adjacent workflows such as design and/or verification - Experience applying AI/LLM systems to semiconductor workflows - Prior experience in solutions engineering, field engineering, customer-facing technical delivery, or consultative technical roles - About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries un", "location_raw": "San Francisco", "city": "San Francisco", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/18d65004-a399-4a33-80bc-10f33bff2ed0", "apply_type": "redirect", "posted_at": "2026-09-09", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm", "python" ], "source": "ats-ashby:openai", "source_job_id": "18d65004-a399-4a33-80bc-10f33bff2ed0" }, { "slug": "openai-manager-ai-deployment-engineering-southeast-asia-singapore", "company": "OpenAI", "logo_url": "", "title": "Manager, AI Deployment Engineering (Southeast Asia)", "title_normalized": "manager, ai deployment engineering (southeast asia)", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "ABOUT THE TEAM The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. ABOUT THE ROLE We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. This role is open in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL - Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. - Own the quality and impact of the team’s work across solution design, implementation, production readiness, adoption, and expansion. - Coach the team through decisions involving architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost. - Establish an operating model for prioritizing accounts and engagements according to customer needs, strategic value, technical complexity, and potential for repeatable impact. - Serve as a senior technical escalation point during critical launches, production incidents, complex integrations, and high-stakes customer decisions. - Partner with customer executives and technical leaders to connect implementation decisions to measurable business and operational outcomes. - Help customers progress from experimentation to production systems and sustained adoption across their organizations. - Partner closely with Sales and Solutions Engineering to create continuity throughout the customer lifecycle and maintain shared accountability for customer success. - Translate customer needs and recurring implementation challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams. - Identify scalable market patterns, distinguish them from bespoke requests, and advocate for investments that can benefit multiple customers. - Develop reusable architectures, evaluation methods, playbooks, tooling, and enablement that improve time to value across the enterprise portfolio. - Establish mechanisms for measuring production implementations, adoption, customer outcomes, delivery quality, team capacity, and the impact of reusable work. - Hire thoughtfully, raise the technical and leadership bar, and foster a culture of accountability, curiosity, collaboration, inclusion, and continuous learning. - Represent OpenAI with credibility and sound judgment in conversations with senior customer and internal stakeholders. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers, or Technical Account Managers. - Have built or led teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments. - Maintain sufficient technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions. - Have experience taking AI, machine learning, or other technically complex systems from prototype to production. - Understand production-system requirements, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness. - Have led teams through ambiguity, competing priorities, escalations, and rapidly evolving products or markets. - Can translate effectively among technical details, customer needs, product strategy, and business outcomes. - Have worked with large organizations involving multiple business units, stakeholder groups, procurement processes, or governance requirements. - Demonstrate strong executive presence and can build trust with engineering leaders, business executives, security teams, and other senior stakeholders. - Have designed operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes for a growing technical organization. - Are a strong cross-functional partner who can navigate disagreement directly while maintaining trust and shared accountability. - Use data and clear principles to allocate limited resources across a large portfolio of opportunities. - Care deeply about developing people and have a track record of coaching team members, raising performance, and building inclusive teams. - Are energized by helping organizations adopt frontier AI responsibly and turn emerging capabilities into durable value. RELEVANT EXPERIENCE MAY INCLUDE - Leading teams in applied AI engineering, solutions architecture, forward-deployed engineering, professional services, technical consulting, or customer engineering. - Implementing generative AI, machine learning, developer platforms, cloud infrastructure, data platforms, or other complex enterprise technologies. - Working with customers in semiconductors, media, entertainment, or similarly complex and technology-intensive industries. - Supporting global customers, multi-business-unit implementations, regulated workflows, or large-scale organizational transformations. - Building technical enablement, reusable solution patterns, evaluation frameworks, or customer implementation methodologies. Direct experience in these industries is not required. We value leaders who can recognize common technical and organizational patterns while adapting their approach to different customer environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arres", "location_raw": "Singapore", "city": "Singapore", "country": "Singapore", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/41df4950-f6b1-4f97-8b29-cd0a11f19e25", "apply_type": "redirect", "posted_at": "2026-09-09", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "41df4950-f6b1-4f97-8b29-cd0a11f19e25" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-public-sector-national-security-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Public Sector/National Security", "title_normalized": "sr. forward deployed engineer (fde) - public sector/national security", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R187 PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What We're Looking For: Minimum Qualifications: 6+ years experience in data engineering, data platforms & analytics, or software engineering Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with PySpark, Apache Spark™ and knowledge of Spark runtime internals Experience with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces Experience with technical project delivery, documentation and white-boarding skillsExperience working with enterprise clients and managing conflicts across a broad stakeholder rangePreferred Qualifications: 10+ years experience in data transformation and warehousing within enterprise level, distributed data systems Expertise in MLOps, ML/AI models, and AI APIs Certification in a Databricks-specific domain Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Washington, D.C.", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8657478002", "apply_type": "redirect", "posted_at": "2026-09-08", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8657478002" }, { "slug": "openai-applied-ai-engineer-digital-natives-london", "company": "OpenAI", "logo_url": "", "title": "Applied AI Engineer, Digital Natives", "title_normalized": "applied ai engineer, digital natives", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer, you will partner directly with Digital Native companies to design, build and deploy AI-powered products and systems. Working alongside customer product and engineering teams, you will take ideas from early experimentation through evaluation, production launch and scale, connecting technical decisions to user experience and measurable business impact. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with Digital Native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/7be58f3a-6005-42ed-86fa-77773ebfb294", "apply_type": "redirect", "posted_at": "2026-09-08", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "python", "typescript" ], "source": "ats-ashby:openai", "source_job_id": "7be58f3a-6005-42ed-86fa-77773ebfb294" }, { "slug": "openai-forward-deployed-engineer-london-spanish-speaking-london", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer - London (Spanish-speaking)", "title_normalized": "forward deployed engineer - london (spanish-speaking)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 6+ years of engineering or technical deployment experience that includes customer-facing work - Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/7ce64627-b273-48e1-b3bc-ef4be0444706", "apply_type": "redirect", "posted_at": "2026-09-08", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "python" ], "source": "ats-ashby:openai", "source_job_id": "7ce64627-b273-48e1-b3bc-ef4be0444706" }, { "slug": "openai-forward-deployed-engineer-madrid-spanish-speaking-madrid", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer - Madrid (Spanish-speaking)", "title_normalized": "forward deployed engineer - madrid (spanish-speaking)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Madrid. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 6+ years of engineering or technical deployment experience that includes customer-facing work - Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Madrid, Spain", "city": "Madrid", "country": "Spain", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/14c5d693-7e85-4c26-8ca7-0b6f68fe6ace", "apply_type": "redirect", "posted_at": "2026-09-08", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "python" ], "source": "ats-ashby:openai", "source_job_id": "14c5d693-7e85-4c26-8ca7-0b6f68fe6ace" }, { "slug": "ramp-software-engineer-forward-deployed-san-francisco", "company": "Ramp", "logo_url": "", "title": "Software Engineer, Forward Deployed", "title_normalized": "software engineer, forward deployed", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Software Engineer, Forward Deployed, you’ll solve the hardest problems standing between Ramp and the world’s largest and most complex companies — shaping and shipping the product capabilities that unlock our growth upmarket. You'll be part of our Core FDE org, which is an agent-first, high-pace, customer-facing engineering team. On FDE, you will interact directly with customers and deliver solutions end to end — understanding pain points, shaping product decisions, and building agents that autonomously expand Ramp's capabilities. Check out our Engineering Blog https://engineering.ramp.com/ and FDE post https://engineering.ramp.com/post/forward-deployed-engineering for more context on our work! WHAT YOU’LL DO - Deliver software end to end that meet the needs of our largest customers — understanding user pain points, scoping product specs, and building agents that autonomously implement solutions. - Collaborate closely with Sales, Solutions, Customer Success, and Account Management to close deals, activate customers, and expand the value Ramp provides over time. - Drive the core product engineering roadmap through our embedding model — specializing within a core product area to develop deep domain expertise and make prioritization calls on when to build a custom solution vs. accelerate a broader initiative. WHAT YOU NEED - 3+ years of software engineering experience preferred - Extensive experience building with and for agents - Track record of shipping high-quality products at scale - Comfort and excitement to be customer-facing - Desire to work in a fast-paced environment, continuously grow, and master your craft BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf. OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice", "location_raw": "San Francisco, CA", "city": "San Francisco", "country": "United States", "remote_type": "remote", "department": "Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/ramp/9916e9da-7491-4c99-afd1-e4b8158fa58b", "apply_type": "redirect", "posted_at": "2026-09-08", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents" ], "source": "ats-ashby:ramp", "source_job_id": "9916e9da-7491-4c99-afd1-e4b8158fa58b" }, { "slug": "openai-applied-ai-engineer-codex-tokyo-tokyo", "company": "OpenAI", "logo_url": "", "title": "Applied AI Engineer, Codex | Tokyo", "title_normalized": "applied ai engineer, codex | tokyo", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "ABOUT THE TEAM OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. ABOUT THE ROLE As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how engineering organizations build software—not simply successful demonstrations or enablement activity. This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Partner directly with engineering leaders and hands-on developers to identify high-value opportunities for Codex and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI-powered software development workflows that improve how engineering teams plan, write, test, review, debug, and deliver software. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, workflow automations, and production accelerators—often using Codex as part of your own development process. - Help customers progress from promising experiments to reliable production workflows, sustained developer adoption, and scaled impact across engineering organizations. - Design systematic approaches for evaluating AI coding systems using representative software engineering tasks, automated graders, production signals, and developer feedback. - Make sound technical decisions across models, agents, tools, developer environments, integrations, reliability, observability, latency, cost, safety, security, and operational readiness. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive technical blockers toward resolution. - Lead technical deep dives, workshops, and hands-on enablement that help engineering teams understand and adopt advanced AI coding workflows effectively and safely. - Gather high-fidelity insights from real-world Codex deployments and translate them into clear product proposals, model feedback, and technical requirements for OpenAI Product, Research, and Engineering teams. - Create reusable architectures, tooling, examples, guides, and technical patterns—including contributions to resources such as the OpenAI Cookbook—that accelerate future Codex deployments. - Influence customer engineering strategy by helping technical leaders understand how AI coding systems can reshape their software development lifecycle, engineering practices, and organizational workflows. YOU’LL THRIVE IN THIS ROLE IF YOU: - Have a demonstrated track record of designing, building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, integrations, or production engineering—not only program, enablement, or stakeholder management. - Are highly proficient in Python and comfortable working across modern software development environments; experience with JavaScript, TypeScript, or another relevant language is valuable. - Are an active user of AI coding tools and have developed a strong point of view on how AI can improve developer productivity and software engineering workflows. - Enjoy building high-signal prototypes, integrations, automations, and production solutions that demonstrate and deliver what AI coding systems can enable. - Understand how to evaluate AI coding systems systematically, including designing representative tasks, automated evaluations, production signals, and mechanisms for incorporating developer feedback. - Have navigated enterprise production requirements such as developer tooling integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to developer workflows, adoption, engineering productivity, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, engineering leaders, security teams, product leaders, and executives. - Are comfortable leading technical workshops and hands-on sessions that help engineering organizations adopt new development workflows and technologies. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous and rapidly evolving environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; deep prior experience with OpenAI products is not required. - Are able to speak Japanese and English fluently. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal histor", "location_raw": "Tokyo, Japan", "city": "Tokyo", "country": "Japan", "remote_type": "onsite", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/6668417f-6878-4244-940f-9a99ae4ebcb0", "apply_type": "redirect", "posted_at": "2026-09-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "python", "typescript" ], "source": "ats-ashby:openai", "source_job_id": "6668417f-6878-4244-940f-9a99ae4ebcb0" }, { "slug": "anthropic-applied-ai-research-engineer-san-francisco", "company": "Anthropic", "logo_url": "", "title": "Applied AI, Research Engineer", "title_normalized": "applied ai, research engineer", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Applied AI Research Engineer Applied AI Research Team, Applied AI About the role: As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need. In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most. This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better. Responsibilities: Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge Travel occasionally to customer sites for workshops, implementation support, and research collaboration You may be a good fit if you have: 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed Strong technical aptitude with strong proficiency in at least one programming language Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems Experience designing evals, building prototypes, or developing technical enablement for complex products The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$300,000—$400,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to rea", "location_raw": "San Francisco, CA | New York City, NY", "city": "San Francisco", "country": "United States", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5390811008", "apply_type": "redirect", "posted_at": "2026-09-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "llm" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5390811008" }, { "slug": "databricks-staff-forward-deployed-engineer-berlin", "company": "Databricks", "logo_url": "", "title": "Staff Forward Deployed Engineer", "title_normalized": "staff forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R243 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Berlin, Germany; Munich, Germany", "city": "Berlin", "country": "Germany", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8653264002", "apply_type": "redirect", "posted_at": "2026-09-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8653264002" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-north-america-toronto", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist (North America)", "title_normalized": "forward deployed engineer, infrastructure specialist (north america)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. You may be a good fit if: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Toronto", "city": "Toronto", "country": "Canada", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/be48aafc-9610-4ebd-8414-a0722a3cd59a", "apply_type": "redirect", "posted_at": "2026-09-01", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "be48aafc-9610-4ebd-8414-a0722a3cd59a" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-united-states", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Agentic Platform", "title_normalized": "forward deployed engineer, agentic platform", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated. IN THIS ROLE, YOU WILL: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting IT'S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "United States", "city": "", "country": "United States", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/b0bcef37-1d20-414f-aade-c54942d63df9", "apply_type": "redirect", "posted_at": "2026-09-01", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "llm", "python", "rag", "react" ], "source": "ats-ashby:cohere", "source_job_id": "b0bcef37-1d20-414f-aade-c54942d63df9" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-west-coast-san-francisco", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Agentic Platform (West Coast)", "title_normalized": "forward deployed engineer, agentic platform (west coast)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated. IN THIS ROLE, YOU WILL: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting IT'S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "San Francisco", "city": "San Francisco", "country": "United States", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/1fa01a03-9253-4f62-8f10-0fe368b38cb9", "apply_type": "redirect", "posted_at": "2026-09-01", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "llm", "python", "rag", "react" ], "source": "ats-ashby:cohere", "source_job_id": "1fa01a03-9253-4f62-8f10-0fe368b38cb9" }, { "slug": "cohere-forward-deployed-engineer-sovereign-ai-ottawa", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Sovereign AI", "title_normalized": "forward deployed engineer, sovereign ai", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors. We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: Ottawa (proximity to government customers), 20-40% travel anticipated. Security Clearance: Eligibility for Active Top Secret clearance is needed for this position, candidates eligible and willing to obtain clearance will also be considered. More information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html. In this role, you will: - Build and ship features for North, our AI workspace platform - Develop autonomous agents that talk to sensitive enterprise data - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Work across the entire product lifecycle from conceptualization through production - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout You may be a good fit if: - You have experience with and enjoy working directly with customers - You have shipped (lots of) Python in production - You have built and deployed highly performant client-side or server-side RAG/agentic applications - You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base - You excel in fast-paced environments and can execute while priorities and objectives are a moving target FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Ottawa", "city": "Ottawa", "country": "Canada", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/556467eb-3dc8-46e2-b015-277872210997", "apply_type": "redirect", "posted_at": "2026-09-01", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "python", "rag" ], "source": "ats-ashby:cohere", "source_job_id": "556467eb-3dc8-46e2-b015-277872210997" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-public-sector-ottawa", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist (Public Sector)", "title_normalized": "forward deployed engineer, infrastructure specialist (public sector)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors. We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: Ottawa, 20-40% travel anticipated. Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered. If you are ineligible for clearance there are other positions on our careers site that do not have this requirement. More information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html. In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. You may be a good fit if: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - Familiarity with Canadian public sector security and compliance requirements (e.g., data sovereignty, access controls). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Ottawa", "city": "Ottawa", "country": "Canada", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/52a2b83b-7537-4e88-af7b-e4e9630a96e0", "apply_type": "redirect", "posted_at": "2026-09-01", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "52a2b83b-7537-4e88-af7b-e4e9630a96e0" }, { "slug": "openai-manager-applied-ai-engineering-enterprise-new-york", "company": "OpenAI", "logo_url": "", "title": "Manager, Applied AI Engineering (Enterprise)", "title_normalized": "manager, applied ai engineering (enterprise)", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "ABOUT THE TEAM The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. ABOUT THE ROLE We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. IN THIS ROLE, YOU WILL - Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. - Own the quality and impact of the team’s work across solution design, implementation, production readiness, adoption, and expansion. - Coach the team through decisions involving architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost. - Establish an operating model for prioritizing accounts and engagements according to customer needs, strategic value, technical complexity, and potential for repeatable impact. - Serve as a senior technical escalation point during critical launches, production incidents, complex integrations, and high-stakes customer decisions. - Partner with customer executives and technical leaders to connect implementation decisions to measurable business and operational outcomes. - Help customers progress from experimentation to production systems and sustained adoption across their organizations. - Partner closely with Sales and Solutions Engineering to create continuity throughout the customer lifecycle and maintain shared accountability for customer success. - Translate customer needs and recurring implementation challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams. - Identify scalable market patterns, distinguish them from bespoke requests, and advocate for investments that can benefit multiple customers. - Develop reusable architectures, evaluation methods, playbooks, tooling, and enablement that improve time to value across the enterprise portfolio. - Establish mechanisms for measuring production implementations, adoption, customer outcomes, delivery quality, team capacity, and the impact of reusable work. - Hire thoughtfully, raise the technical and leadership bar, and foster a culture of accountability, curiosity, collaboration, inclusion, and continuous learning. - Represent OpenAI with credibility and sound judgment in conversations with senior customer and internal stakeholders. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers, or Technical Account Managers. - Have built or led teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments. - Maintain sufficient technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions. - Have experience taking AI, machine learning, or other technically complex systems from prototype to production. - Understand production-system requirements, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness. - Have led teams through ambiguity, competing priorities, escalations, and rapidly evolving products or markets. - Can translate effectively among technical details, customer needs, product strategy, and business outcomes. - Have worked with large organizations involving multiple business units, stakeholder groups, procurement processes, or governance requirements. - Demonstrate strong executive presence and can build trust with engineering leaders, business executives, security teams, and other senior stakeholders. - Have designed operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes for a growing technical organization. - Are a strong cross-functional partner who can navigate disagreement directly while maintaining trust and shared accountability. - Use data and clear principles to allocate limited resources across a large portfolio of opportunities. - Care deeply about developing people and have a track record of coaching team members, raising performance, and building inclusive teams. - Are energized by helping organizations adopt frontier AI responsibly and turn emerging capabilities into durable value. RELEVANT EXPERIENCE MAY INCLUDE - Leading teams in applied AI engineering, solutions architecture, forward-deployed engineering, professional services, technical consulting, or customer engineering. - Implementing generative AI, machine learning, developer platforms, cloud infrastructure, data platforms, or other complex enterprise technologies. - Working with customers in semiconductors, media, entertainment, or similarly complex and technology-intensive industries. - Supporting global customers, multi-business-unit implementations, regulated workflows, or large-scale organizational transformations. - Building technical enablement, reusable solution patterns, evaluation frameworks, or customer implementation methodologies. Direct experience in these industries is not required. We value leaders who can recognize common technical and organizational patterns while adapting their approach to different customer environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles ", "location_raw": "New York City", "city": "New York", "country": "United States", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/0a24703f-6108-4422-807e-78831dd98ed1", "apply_type": "redirect", "posted_at": "2026-08-31", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "0a24703f-6108-4422-807e-78831dd98ed1" }, { "slug": "anthropic-applied-ai-architect-startups-san-francisco", "company": "Anthropic", "logo_url": "", "title": "Applied AI Architect, Startups", "title_normalized": "applied ai architect, startups", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams Track record of selling technical products in competitive markets Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns Passion for making powerful technology safe and societally beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$240,000—$315,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "location_raw": "San Francisco, CA | New York City, NY", "city": "San Francisco", "country": "United States", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5406982008", "apply_type": "redirect", "posted_at": "2026-08-28", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm", "python" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5406982008" }, { "slug": "databricks-ai-engineer-fde-forward-deployed-engineer-u-s-federal-sector-united-states", "company": "Databricks", "logo_url": "", "title": "AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector", "title_normalized": "ai engineer - fde (forward deployed engineer) - u.s. federal sector", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets Willing to travel once every 4-8 weeks to see customers (as needed) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Maryland; Virginia; Washington, D.C.", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8760167002", "apply_type": "redirect", "posted_at": "2026-08-28", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "langchain", "pytorch", "rag", "spark", "sql" ], "source": "ats-greenhouse:databricks", "source_job_id": "8760167002" }, { "slug": "openai-forward-deployed-engineer-fde-legal-sf-new-york", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer (FDE), Legal-SF", "title_normalized": "forward deployed engineer (fde), legal-sf", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "ABOUT THE TEAM OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). ABOUT THE ROLE We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. IN THIS ROLE, YOU WILL - Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve YOU MIGHT THRIVE IN THIS ROLE IF YOU - Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries. - Have experience with legal technology, legal services, compliance-heavy workflows, or professional services; this is helpful but not required. - Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences. - Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks. - Have deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes. - Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture. - Apply systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns. - Stay calm and decisive when delivery is urgent, ambiguous, and high-stakes. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "New York City", "city": "New York", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/832094fd-4d89-4fe4-bc18-9ba88d347a18", "apply_type": "redirect", "posted_at": "2026-08-27", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "go", "python" ], "source": "ats-ashby:openai", "source_job_id": "832094fd-4d89-4fe4-bc18-9ba88d347a18" }, { "slug": "openai-forward-deployed-engineer-fde-legal-nyc-new-york", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer (FDE), Legal-NYC", "title_normalized": "forward deployed engineer (fde), legal-nyc", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "ABOUT THE TEAM OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). ABOUT THE ROLE We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. IN THIS ROLE, YOU WILL - Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve YOU MIGHT THRIVE IN THIS ROLE IF YOU - Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries. - Have experience with legal technology, legal services, compliance-heavy workflows, or professional services; this is helpful but not required. - Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences. - Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks. - Have deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes. - Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture. - Apply systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns. - Stay calm and decisive when delivery is urgent, ambiguous, and high-stakes. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "New York City", "city": "New York", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/51977acc-b1f8-48af-bde6-95ddba936d65", "apply_type": "redirect", "posted_at": "2026-08-26", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "go", "python" ], "source": "ats-ashby:openai", "source_job_id": "51977acc-b1f8-48af-bde6-95ddba936d65" }, { "slug": "cohere-solutions-architect-nordics-stockholm", "company": "Cohere", "logo_url": "", "title": "Solutions Architect - Nordics", "title_normalized": "solutions architect - nordics", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role as a founding Solutions Architect for Cohere in the Nordics, you will play an instrumental part in growing Cohere’s business in both the Nordics territory and the wider European region. You will partner with account executives, partners, and our executive leadership team to communicate and demonstrate the value of our technology to the market, and build on the success of our flagship customers, like Saab, TKMS and Thales. SAs at Cohere sit at the cross-section of Forward Deployed Engineering and AI transformation. Our SAs embody the following traits: - Technical experts in the field - Trusted advisors to customers and colleagues - Product evangelists of Cohere technology - Thought leaders in pushing the frontiers of applied AI Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products. In this dynamic and demanding role, you will need to be both a strategic thinker and a builder. You will personally lead the design and deployment of customer pilots that showcase the impact of our technology to strategic enterprise and government customers. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into our technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products. A typical day at Cohere might include: - Leading the technical talk track on customer calls. - Designing enterprise architectures for North deployments. - Deep dives on customer queries and Cohere technology. - Facilitating customer evaluations and pilots. - Developing and documenting processes to enable the solutions architect team and adjacent teams to scale effectively within Cohere. - Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs. - Working closely with our partners to develop a strategy for enabling and accelerating their customers. This might be for you if you have some of the following: - 3+ years of customer-facing technical pre/post sales Solutions Architect/Solutions Engineer/Sales Engineer/Digital Strategy Consultant (or similar) experience. - A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLMs and AI technologies. - Familiarity with foundational ML concepts (training, evaluation, etc.) - Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds with technical audiences. - Thrives within ambiguous and uncharted environments - You can identify and implement high-impact processes in unstructured environments. - Comfortable working with Python and Assistive Coding tools - Preferred: 2+ years architecting, deploying or consulting on NLP/AI/LLM Solutions - Preferred: Fluency in Swedish, Danish or Norwegian - Must have: Professional fluency in English (business and technical) Please note: for this role we are open to a range of experience levels, from Associate to Staff-level Individual Contributors (ICs). Experience level stated is a bare minimum. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Stockholm", "city": "Stockholm", "country": "Sweden", "remote_type": "remote", "department": "Revenue", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/a42976d7-0ae5-4892-b3ba-bf5510c6cecd", "apply_type": "redirect", "posted_at": "2026-08-26", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm", "python" ], "source": "ats-ashby:cohere", "source_job_id": "a42976d7-0ae5-4892-b3ba-bf5510c6cecd" }, { "slug": "perplexity-applied-ai-architect-perplexity-computer-san-francisco", "company": "Perplexity", "logo_url": "", "title": "Applied AI Architect, Perplexity Computer", "title_normalized": "applied ai architect, perplexity computer", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "Perplexity is seeking an Applied AI Architect to help our customers turn Perplexity Computer into working solutions that drive measurable impact. This role is ideal for technical, consultative professionals who have led complex software implementations and can move comfortably between customer discovery, solution design, hands-on delivery, and executive communication. About the role Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end. Our customers are using Computer to transform work that traditional software has not been able to address. Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements. You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome. This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery. You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering. What you'll do - Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers. - Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow. - Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping. - Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to sustained production use and expansion. - Build hands-on. Configure, prototype, test, and iterate on Computer skills and workflows, including connectors, permissions, and adjacent tooling. - Accelerate onboarding and adoption. Provide second-level technical consultation to customer success managers and deliver bounded technical work when customer needs exceed standard Customer Success coverage. - Run strategic engagements. Establish scope, customer commitments, milestones, success criteria, working cadence, and exit criteria, then lead the work through closure. - Improve technical escalation. Validate product and engineering needs and produce decision-ready requests with clear evidence, constraints, impact, and acceptance criteria. - Turn every engagement into leverage. Convert repeated customer needs into reusable workflows, implementation patterns, demos, guidance, and product feedback. What we're looking for The strongest Applied AI Architects combine technical depth, consultative problem solving, and disciplined engagement delivery. You should be comfortable working hands-on with the product, advising customer executives, and managing the details required to deliver a successful outcome. Must-haves - 5+ years in a customer-facing technical role such as solutions architecture, senior sales engineering, AI implementation, forward deployed work, technical consulting, or technical program leadership. - Proven consultative discovery skills. You can turn an ambiguous request into a clear business problem, technical approach, and delivery plan. - Hands-on technical fluency. You are comfortable with APIs, integrations, authentication, identity, permissions, connectors, data flows, and technical troubleshooting. - Experience delivering complex implementations. You have managed scope, stakeholders, milestones, risk, expectations, and closure. - Strong solution judgment. You can distinguish education, configuration, implementation, support, product, and engineering problems and recommend the right path. - Commercial and consumption awareness. You can connect solution design and technical decisions to time to value, usage, credit consumption, customer economics, and expansion potential. - Executive-credible communication. You can explain technical trade-offs to senior decision-makers while working effectively with practitioners and engineers. - High agency in ambiguity. You can establish direction without waiting for perfect requirements, challenge weak assumptions, and make thoughtful decisions quickly. - AI-native working style. You use frontier models and AI tools regularly and have developed strong intuition for what current systems can and cannot do reliably. Nice-to-haves - Experience deploying agents or multi-step LLM workflows in complex enterprise environments. - Experience with Computer, MCP, enterprise identity, security, permissions, or workflow orchestration. - Experience in regulated or workflow-intensive industries such as legal, financial services, healthcare, or technology. - Prior forward deployed engineering, Applied AI, deployment strategist, solutions architecture, or technical consulting experience at an AI or enterprise software company. - A track record of turning customer implementations into reusable technical assets or product improvements.", "location_raw": "San Francisco", "city": "San Francisco", "country": "United States", "remote_type": "onsite", "department": "Sales", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/perplexity/4fba58de-a168-4948-9d82-a7d4b38f45f2", "apply_type": "redirect", "posted_at": "2026-08-26", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "llm" ], "source": "ats-ashby:perplexity", "source_job_id": "4fba58de-a168-4948-9d82-a7d4b38f45f2" }, { "slug": "databricks-sr-forward-deployed-engineer-national-security-united-states-2", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer - National Security", "title_normalized": "sr. forward deployed engineer - national security", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "ADD REQ ID CSQ427R88 PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What We're Looking For: Minimum Qualifications: 6+ years experience in data engineering, data platforms & analytics, or software engineering Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces Experience with technical project delivery, documentation and white-boarding skillsExperience working with enterprise clients and managing conflicts across a broad stakeholder rangePreferred Qualifications: Expertise in MLOps, ML/AI models, and AI APIs Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Boston, Massachusetts; Delaware; Maryland; Remote - California; Remote - New York; Remote - Washington D.C.; Virginia; West Virginia", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8746374002", "apply_type": "redirect", "posted_at": "2026-08-25", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8746374002" }, { "slug": "anthropic-applied-ai-engineer-beneficial-deployments-life-sciences-new-york", "company": "Anthropic", "logo_url": "", "title": "Applied AI Engineer, Beneficial Deployments (Life Sciences)", "title_normalized": "applied ai engineer, beneficial deployments (life sciences)", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like The Howard Hughes Medical Institute (HHMI) and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier. Responsibilities Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$280,000—$320,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "location_raw": "San Francisco, CA | New York City, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5021015008", "apply_type": "redirect", "posted_at": "2026-08-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "llm" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5021015008" }, { "slug": "databricks-forward-deployed-engineer-munich", "company": "Databricks", "logo_url": "", "title": "Forward Deployed Engineer", "title_normalized": "forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R35 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Berlin, Germany; Munich, Germany", "city": "Munich", "country": "Germany", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8648494002", "apply_type": "redirect", "posted_at": "2026-08-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8648494002" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-uk-public-sector-united-kingdom", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist (UK Public Sector)", "title_normalized": "forward deployed engineer, infrastructure specialist (uk public sector)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: UK Active DV clearance is highly preferred In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You are fluent in French IT'S A BONUS IF YOU HAVE… - Familiarity with GPU node orchestration & scheduling - You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "United Kingdom", "city": "", "country": "United Kingdom", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/a0f174cf-4407-4334-b812-45a767092fca", "apply_type": "redirect", "posted_at": "2026-08-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "a0f174cf-4407-4334-b812-45a767092fca" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-uk-public-sector-united-kingdom", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Agentic Platform (UK Public Sector)", "title_normalized": "forward deployed engineer, agentic platform (uk public sector)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Location: UK Active DV clearance is highly preferred In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "United Kingdom", "city": "", "country": "United Kingdom", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/691982e3-9357-42e4-b4c3-a65cae906935", "apply_type": "redirect", "posted_at": "2026-08-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "llm", "python", "rag", "react" ], "source": "ats-ashby:cohere", "source_job_id": "691982e3-9357-42e4-b4c3-a65cae906935" }, { "slug": "databricks-senior-forward-deployed-engineer-bengaluru", "company": "Databricks", "logo_url": "", "title": "Senior Forward Deployed Engineer", "title_normalized": "senior forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R228 As a Senior Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Bengaluru, India", "city": "Bengaluru", "country": "India", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8629999002", "apply_type": "redirect", "posted_at": "2026-08-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8629999002" }, { "slug": "databricks-sr-forward-deployed-engineer-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R94 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "San Francisco, California", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8739474002", "apply_type": "redirect", "posted_at": "2026-08-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8739474002" }, { "slug": "databricks-sr-forward-deployed-engineer-united-states-2", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R94 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - Washington D.C.", "city": "", "country": "United States", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8739465002", "apply_type": "redirect", "posted_at": "2026-08-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8739465002" }, { "slug": "databricks-sr-forward-deployed-engineer-united-states-3", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R94 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Austin, Texas", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8657065002", "apply_type": "redirect", "posted_at": "2026-08-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8657065002" }, { "slug": "databricks-sr-forward-deployed-engineer-united-states-4", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R94 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "United States", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8739484002", "apply_type": "redirect", "posted_at": "2026-08-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8739484002" }, { "slug": "databricks-sr-forward-deployed-engineer-united-states-5", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R94 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Chicago, Illinois", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8739458002", "apply_type": "redirect", "posted_at": "2026-08-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8739458002" }, { "slug": "databricks-sr-forward-deployed-engineer-united-states-6", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R94 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "New York City, New York", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8739462002", "apply_type": "redirect", "posted_at": "2026-08-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8739462002" }, { "slug": "anthropic-manager-of-applied-ai-architecture-commercial-new-york", "company": "Anthropic", "logo_url": "", "title": "Manager of Applied AI Architecture, Commercial", "title_normalized": "manager of applied ai architecture, commercial", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book. You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs. This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You will co-own the strategy for how Applied AI shows up in the Commercial segment, and you will be judged on your team's outcomes and growth, not your own. Responsibilities: Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier You may be a good fit if you: Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go Have strong executive presence and can build trust with technical and business leaders alike Have a genuine passion for making powerful technology safe and societally beneficial Strong candidate may have: Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500 Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them A visible technical presence through conference talks, written content, or open-source contributions The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$315,000—$380,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will iden", "location_raw": "San Francisco, CA | New York City, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5390865008", "apply_type": "redirect", "posted_at": "2026-08-20", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "go", "llm" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5390865008" }, { "slug": "anthropic-applied-ai-engineer-tokyo-prefecture", "company": "Anthropic", "logo_url": "", "title": "Applied AI Engineer", "title_normalized": "applied ai engineer", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the Applied AI team at Anthropic, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises across Japan. You’ll leverage your customer-facing experience and technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. In collaboration with the Sales, Product, and Engineering teams, you’ll help enterprise partners incorporate leading-edge AI systems into their products. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Key responsibilities Act as the primary technical advisor for prospective customers across Japan evaluating Claude. Demonstrate how Claude can be used to solve high value business problems by developing system architectures and leveraging novel prompting techniques Partner closely with account executives to understand customer requirements. Configure Claude's capabilities to showcase how it meets the customer's needs. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure Recommend solutions to technical roadblocks Support customer onboarding across Japan by working cross-functionally to ensure successful ramp and adoption. Serve as an ongoing technical advisor throughout implementation and beyond go-live Travel occasionally to customer sites for workshops, implementation support, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities across Japan Minimum qualifications Experience as a Technical Product Manager, Forward Deployed Engineer, or Platform Engineer Native-level Japanese fluency and business-level English required Designed novel and innovative solutions for technical platforms in a developing business area across Japan Strong technical aptitude to partner with engineers and strong proficiency in Python required Preferred qualifications 4+ years of experience in relevant field Recent experience building production systems with large language models The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "location_raw": "Tokyo, Japan", "city": "Tokyo Prefecture", "country": "Japan", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5390799008", "apply_type": "redirect", "posted_at": "2026-08-19", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "go", "llm", "python" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5390799008" }, { "slug": "anthropic-applied-ai-engineer-enterprise-m-nchen", "company": "Anthropic", "logo_url": "", "title": "Applied AI Engineer, Enterprise", "title_normalized": "applied ai engineer, enterprise", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an Applied AI Engineer on our Enterprise team, your role is to guide some of Germany's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in German, with German executives and engineering teams, so native or fluent German is essential for the role. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. Responsibilities Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in Germany from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision Build and present the business value case for Claude with C-level and senior executives, in German and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team Travel to customer sites across Germany for executive meetings, workshops, and relationship building You may be a good fit if you have Native or fluent German, written and spoken, as you will work day to day with German enterprise customers at both executive and engineering level 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the German market, including scoping and designing complex solutions Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers Comfort presenting to, and building relationships with, C-level and VP-level stakeholders Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing A passion for making powerful technology safe and beneficial Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research wil", "location_raw": "Munich, Germany", "city": "München", "country": "Germany", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5390795008", "apply_type": "redirect", "posted_at": "2026-08-19", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "go", "llm" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5390795008" }, { "slug": "cohere-solutions-architect-uae-dubai", "company": "Cohere", "logo_url": "", "title": "Solutions Architect - UAE", "title_normalized": "solutions architect - uae", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role as a Solutions Architect (SA) for Cohere in the UAE, you will play an instrumental part in growing Cohere’s business in both the UAE and the wider MENA region. You will partner with account executives, partners, and our executive leadership team to communicate and demonstrate the value of our technology to the market, and build on the success of our flagship customers, like STC. SAs at Cohere sit at the cross-section of Forward Deployed Engineering and AI transformation. Our SAs embody the following traits: - Technical experts in the field - Trusted advisors to customers and colleagues - Product evangelists of Cohere technology - Thought leaders in pushing the frontiers of applied AI Role Overview Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products. In this dynamic and demanding role, you will need to be both a strategic thinker and a builder. You will personally lead the design and deployment of customer pilots that showcase the impact of our technology to strategic enterprise and government customers. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into our technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products. Key Responsibilities: - Leading the technical talk track on customer calls. - Designing enterprise architectures for North deployments. - Deep dives on customer queries and Cohere technology. - Facilitating customer evaluations and pilots. - Developing and documenting processes to enable the solutions architect team and adjacent teams to scale effectively within Cohere. - Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs. - Working closely with our partners to develop a strategy for enabling and accelerating their customers. Qualifications - 3+ years of customer-facing technical pre/post sales Solutions Architect/Solutions Engineer/Sales Engineer/Digital Strategy Consultant (or similar) experience. - A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLMs and AI technologies. - Familiarity with foundational ML concepts (training, evaluation, etc.) - Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds with technical audiences. - Thrives within ambiguous and uncharted environments - You can identify and implement high-impact processes in unstructured environments. - Comfortable working with Python and Assistive Coding tools - Preferred: 2+ years architecting, deploying or consulting on NLP/AI/LLM Solutions - Must have native-level Arabic - Must be based in Dubai, UAE FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Dubai", "city": "Dubai", "country": "UAE", "remote_type": "remote", "department": "Revenue", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/f154a1cb-b7c1-4f74-ac50-04ef9dcfc9e0", "apply_type": "redirect", "posted_at": "2026-08-19", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm", "python" ], "source": "ats-ashby:cohere", "source_job_id": "f154a1cb-b7c1-4f74-ac50-04ef9dcfc9e0" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-france-france", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist (France)", "title_normalized": "forward deployed engineer, infrastructure specialist (france)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: France In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You are fluent in French IT'S A BONUS IF YOU HAVE… - Familiarity with GPU node orchestration & scheduling - You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "France", "city": "France", "country": "France", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/24cdb030-3913-4c38-a7db-8f31c3c91ee6", "apply_type": "redirect", "posted_at": "2026-08-19", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "24cdb030-3913-4c38-a7db-8f31c3c91ee6" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-public-sector-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Public Sector", "title_normalized": "sr. forward deployed engineer (fde) - public sector", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R224 *This role requires an active Secret or Top Secret clearance* About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What We're Looking For: Minimum Qualifications: 6+ years experience in data engineering, data platforms & analytics, or software engineering Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces Experience with technical project delivery, documentation and white-boarding skillsExperience working with enterprise clients and managing conflicts across a broad stakeholder rangePreferred Qualifications: Expertise in MLOps, ML/AI models, and AI APIs Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 2 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - Virginia; Remote - Washington D.C.", "city": "", "country": "United States", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8657488002", "apply_type": "redirect", "posted_at": "2026-08-18", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8657488002" }, { "slug": "openai-applied-ai-engineer-abu-dhabi", "company": "OpenAI", "logo_url": "", "title": "Applied AI Engineer", "title_normalized": "applied ai engineer", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Abu Dhabi, UAE. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Abu Dhabi, UAE", "city": "Abu Dhabi", "country": "UAE", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/2226c39d-371b-4dec-bf60-2d76dbe4c445", "apply_type": "redirect", "posted_at": "2026-08-18", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "python", "typescript" ], "source": "ats-ashby:openai", "source_job_id": "2226c39d-371b-4dec-bf60-2d76dbe4c445" }, { "slug": "anthropic-forward-deployed-engineer-m-nchen", "company": "Anthropic", "logo_url": "", "title": "Forward Deployed Engineer", "title_normalized": "forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. Native German speaker with fluent English proficiency Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "location_raw": "Munich, Germany", "city": "München", "country": "Germany", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5391016008", "apply_type": "redirect", "posted_at": "2026-08-17", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "java", "llm", "prompt engineering", "python", "typescript" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5391016008" }, { "slug": "anthropic-forward-deployed-engineer-paris", "company": "Anthropic", "logo_url": "", "title": "Forward Deployed Engineer", "title_normalized": "forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.En tant que membre de l'équipe Applied AI d'Anthropic, vous serez ingénieur en déploiement avancé (FDE) qui s'engage directement auprès de nos clients les plus stratégiques pour favoriser l'adoption de l'IA transformationnelle. Vous collaborerez étroitement avec les équipes de clients pour livrer des applications d'IA avancées qui résolvent des problèmes commerciaux réels. Nos FDE interagissent avec les clients pour accélérer l'adoption des produits existants et créer de nouvelles applications basées sur nos modèles.En travaillant en étroite collaboration avec nos équipes post-vente, produit et ingénierie, vous combinerez expertise en ingénierie, compréhension des applications IA de pointe et compétences en contact avec la clientèle pour comprendre les flux de travail clients et développer des solutions innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées de sécurité et de fiabilité.Vous serez à la pointe des déploiements d'IA en entreprise et vous serez l'une de nos fondatrices FDE qui contribue à façonner notre mouvement de déploiement vers l'avant. Nous attendons de nos FDE qu'ils travaillent de manière autonome, qu'ils s'épanouissent dans l'ambiguïté et qu'ils représentent Anthropic au plus haut niveau dans l'environnement de nos clients. Il s'agit d'une responsabilité importante : vous jouerez un rôle clé en défendant notre mission au sein de l'entreprise.Responsabilités Travailler au sein des systèmes clients pour développer des applications de production avec les modèles Claude, en veillant à ce que ces produits répondent aux exigences des clients. Fournir aux clients des artefacts techniques tels que des serveurs MCP, des sous-agents et des compétences d'agent qui seront utilisés dans les flux de travail de production. Fournir une assistance au déploiement des produits Anthropic dans les environnements d'entreprise. Identifier et codifier des modèles de déploiement reproductibles et fournir des informations à nos équipes Produit et Ingénierie. Maintenir une connaissance approfondie des derniers développements en matière de capacités des LLM, de modèles de mise en œuvre et de piles technologiques de développement de produits d'IA. Établir des relations à long terme avec les clients et identifier de manière proactive de nouvelles opportunités de déploiement de l'IA tout au long du cycle de vie d'un engagement. Se déplacer fréquemment (25 à 50 %) sur les sites des clients afin de nouer des relations personnelles avec eux. Être un champion de la mission d'Anthropic sur le terrain. Profil recherché : Vous avez plus de 8 ans d'expérience dans un poste technique en contact avec la clientèle, par exemple en tant qu'ingénieur en déploiement avancé, ou en tant qu'ingénieur logiciel avec une expérience de conseil. Les anciens fondateurs techniques sont également encouragés à poser leur candidature. Vous avez de l'expérience en production avec des LLM, incluant l'ingénierie avancée des prompts, le développement d'agents, les cadres d'évaluation et le déploiement à grande échelle. Vous avez de solides compétences en programmation avec une maîtrise de Python (et idéalement d'un ou plusieurs autres langages comme TypeScript, Java, etc.) et une expérience de l'expédition d'applications de production. Haute capacité d'action, capable de surmonter l'ambiguïté qui caractérise les organisations complexes.• Esprit de coopération élevé pour la collaboration inter-organisationnelle, équilibrant les priorités concurrentes avec intégrité.• Passion pour la promotion de systèmes d'IA sûrs et bénéfiques à travers des applications techniques créatives.• Solides compétences en communication pour mener des discussions exploratoires avec les clients et transmettre des concepts techniques à divers intervenants tout en conservant une attitude humble et collaborative.• Une expérience dans le domaine des services financiers, des soins de santé/sciences de la vie ou d'un autre secteur d'activité est un atout.• Une expérience des systèmes informatiques d'entreprise et/ou des modèles de déploiement de l'IA est un atout. -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. Native French speaker with fluent English proficiency Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. Logistics Minimum educ", "location_raw": "Paris, France", "city": "Paris", "country": "France", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5391021008", "apply_type": "redirect", "posted_at": "2026-08-17", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "java", "llm", "prompt engineering", "python", "typescript" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5391021008" }, { "slug": "databricks-sr-forward-deployed-engineer-national-security-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer - National Security", "title_normalized": "sr. forward deployed engineer - national security", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "ADD REQ ID CSQ427R88 PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What We're Looking For: Minimum Qualifications: 6+ years experience in data engineering, data platforms & analytics, or software engineering Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces Experience with technical project delivery, documentation and white-boarding skillsExperience working with enterprise clients and managing conflicts across a broad stakeholder rangePreferred Qualifications: Expertise in MLOps, ML/AI models, and AI APIs Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "United States; USCA", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8657468002", "apply_type": "redirect", "posted_at": "2026-08-14", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8657468002" }, { "slug": "anthropic-manager-forward-deployed-engineering-london", "company": "Anthropic", "logo_url": "", "title": "Manager, Forward Deployed Engineering", "title_normalized": "manager, forward deployed engineering", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:£255,000—£325,000 GBPLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understan", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5385634008", "apply_type": "redirect", "posted_at": "2026-08-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-greenhouse:anthropic", "source_job_id": "5385634008" }, { "slug": "openai-forward-deployed-engineer-sydney-sydney", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer - Sydney", "title_normalized": "forward deployed engineer - sydney", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Sydney. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production. - Build full-stack systems that deliver customer value and sharpen how we learn. - Embed closely with customer teams, understand their needs, and guide adoption of what you build. - Scope work, sequence delivery, and remove blockers early. - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. - Contribute directly in the code when progress or clarity depends on it. - Codify working patterns into tools, playbooks, or building blocks that others can use. - Share field feedback that helps Research and Product understand where the models succeed and where they can improve. - Keep teams moving through clarity and follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. - Have scoped and delivered complex systems in fast-moving or ambiguous environments. - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. - Simplify complexity and make fast, sound decisions under pressure. - Communicate clearly with engineers, product teams, and customer stakeholders. - Spot risks early and adjust without slowing down. - Model calm and judgment when the stakes are high. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Sydney, Australia", "city": "Sydney", "country": "Australia", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/9e39d642-6c78-4c21-bc86-49b1773c933c", "apply_type": "redirect", "posted_at": "2026-08-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "python" ], "source": "ats-ashby:openai", "source_job_id": "9e39d642-6c78-4c21-bc86-49b1773c933c" }, { "slug": "anthropic-forward-deployed-engineer-san-francisco", "company": "Anthropic", "logo_url": "", "title": "Forward Deployed Engineer", "title_normalized": "forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities: Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Potential Travel (based on location) to customer sites to build in person with customers. - Estimated 25% Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have: 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. Experience working as an FDE or in a professional services context is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$280,000—$320,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "location_raw": "New York City, NY; San Francisco, CA; Seattle, WA", "city": "San Francisco", "country": "United States", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5302966008", "apply_type": "redirect", "posted_at": "2026-08-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "java", "llm", "prompt engineering", "python", "typescript" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5302966008" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-singapore-singapore", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist (Singapore)", "title_normalized": "forward deployed engineer, infrastructure specialist (singapore)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. Note: between 20 - 40% travel anticipated In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. You may be a good fit if: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You have fluent business-level English and are proficient in another regional language FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Singapore", "city": "Singapore", "country": "Singapore", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/e88931c0-d3fa-4e81-accc-45db823ea616", "apply_type": "redirect", "posted_at": "2026-08-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "e88931c0-d3fa-4e81-accc-45db823ea616" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-south-korea-korea", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist (South Korea)", "title_normalized": "forward deployed engineer, infrastructure specialist (south korea)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. Note: between 20 - 40% travel anticipated In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. You may be a good fit if: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You have fluent Korean and business-level English FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Korea", "city": "Korea", "country": "South Korea", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/9c5e1ab3-883b-4d15-885c-76400da7ca11", "apply_type": "redirect", "posted_at": "2026-08-11", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "9c5e1ab3-883b-4d15-885c-76400da7ca11" }, { "slug": "scale-ai-sr-director-applied-ai-forward-deployed-engineering-new-york", "company": "Scale AI", "logo_url": "", "title": "Sr. Director, (Applied AI) Forward Deployed Engineering", "title_normalized": "sr. director, (applied ai) forward deployed engineering", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Scale AI Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We work with leading enterprises to bring generative AI safely into production—powering real-world impact through rigorous evaluation, deployment, and execution. The Role The Sr. Director, Forward Deployed Engineering (US East) will lead Scale’s enterprise customer engagements across the Eastern United States. This role sits at the intersection of customer leadership, applied AI, and execution—owning how Scale partners with Fortune 500 executives to design, build, and deploy AI-powered systems that deliver measurable business outcomes. As a regional leader and peer to Scale’s existing Forward Deployed leadership, you will manage and grow multidisciplinary teams of applied scientists and full-stack engineers, shape how we deliver agentic AI applications in customer environments, and set the bar for executive-level customer engagement. This is a high-impact leadership role in a period of regional expansion and organizational evolution. You will: Lead all US East enterprise customer engagements, serving as the senior technical and delivery executive for Scale’s most strategic accounts. Partner closely with Sales, Product, and Engineering leadership to support customer acquisition, expansion, and long-term success. Build and manage forward-deployed teams composed of applied scientists and full-stack software engineers, structured into customer-specific technical pods. Own end-to-end delivery execution for customer deployments, ensuring reliability, rigor, and measurable business impact. Guide teams in building production-grade, agentic AI applications for Fortune 500 enterprises. Establish and enforce an evals-first approach to customer deployments, ensuring performance, safety, and reliability standards are met. Lead senior-level technical conversations with customer executives, demonstrating Scale’s credibility as a trusted AI partner. Support technical upsell conversations by articulating architectural tradeoffs, capabilities, and future-state possibilities (with commercial ownership held by AEs). Hire, develop, and mentor forward-deployed leaders and ICs, including training teams on executive-level customer interaction and professional standards. Help shape Scale’s regional forward-deployed strategy as part of a broader global and US restructuring. Ideally you’d have: 12+ years of experience in software engineering, applied ML, or AI systems, with significant leadership responsibility. Proven experience leading customer-facing technical teams delivering complex systems for large enterprise customers. Executive presence and credibility with senior Fortune 500 stakeholders, including experience navigating high-stakes technical discussions. Strong technical foundation in either applied machine learning or full-stack / distributed systems engineering (strength in one, fluency in the other). Demonstrated ability to translate ambiguous customer needs into concrete technical solutions and delivery plans. Experience partnering with sales and product teams in pre-sales, expansion, and delivery contexts. A track record of building, scaling, and managing high-performing multidisciplinary teams. Nice to have: Experience deploying generative AI or agentic systems in production enterprise environments. Background in consulting, forward-deployed engineering, or professional services for technical products. Experience building evaluation frameworks for ML or AI system performance. Prior responsibility for regional or multi-account technical leadership. Leveling Note This role is flexibly leveled (Director to Sr. Director) based on candidate experience, scope, and demonstrated leadership impact.Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$285,200—$356,500 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Enterprise Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4722811005", "apply_type": "redirect", "posted_at": "2026-08-10", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-greenhouse:scaleai", "source_job_id": "4722811005" }, { "slug": "openai-forward-deployed-engineer-fde-healthcare-seattle-seattle", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer (FDE), Healthcare - Seattle", "title_normalized": "forward deployed engineer (fde), healthcare - seattle", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. - Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes. - Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools. - Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements. - Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds. - Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness. - Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments. You might thrive in this role if you - Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth - Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments. - Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems. - Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR. - Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges. - Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader. - Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Seattle", "city": "Seattle", "country": "United States", "remote_type": "onsite", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/a4332746-163e-4506-b62a-90758fb7a950", "apply_type": "redirect", "posted_at": "2026-08-06", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "a4332746-163e-4506-b62a-90758fb7a950" }, { "slug": "openai-forward-deployed-engineer-fde-healthcare-nyc-new-york", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer (FDE), Healthcare - NYC", "title_normalized": "forward deployed engineer (fde), healthcare - nyc", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. - Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes. - Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools. - Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements. - Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds. - Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness. - Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments. You might thrive in this role if you - Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth - Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments. - Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems. - Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR. - Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges. - Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader. - Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "New York City", "city": "New York", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/2a931dd1-5002-47d1-a367-ec1a19ef7e9e", "apply_type": "redirect", "posted_at": "2026-08-06", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "2a931dd1-5002-47d1-a367-ec1a19ef7e9e" }, { "slug": "openai-forward-deployed-engineer-fde-healthcare-sf-san-francisco", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer (FDE), Healthcare - SF", "title_normalized": "forward deployed engineer (fde), healthcare - sf", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the Team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the Role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. - Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes. - Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools. - Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements. - Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds. - Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness. - Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments. You might thrive in this role if you: - Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth - Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments. - Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems. - Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR. - Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges. - Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader. - Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "San Francisco", "city": "San Francisco", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/d8b894e3-c399-4303-a708-3cef8ff5c1a2", "apply_type": "redirect", "posted_at": "2026-08-06", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "d8b894e3-c399-4303-a708-3cef8ff5c1a2" }, { "slug": "databricks-senior-ai-engineer-fde-forward-deployed-engineer-tokyo", "company": "Databricks", "logo_url": "", "title": "Senior AI Engineer - FDE (Forward Deployed Engineer)", "title_normalized": "senior ai engineer - fde (forward deployed engineer)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Req: FEQ227R196Location: Tokyo, Japan Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets Willing to travel once every 4-8 weeks to see customers (as needed) Language Proficiency: Native-level fluency in Japanese and professional working proficiency in English (both written and verbal). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Tokyo, Japan", "city": "Tokyo", "country": "Japan", "remote_type": "onsite", "department": " Field Engineering - Indirect", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8569392002", "apply_type": "redirect", "posted_at": "2026-08-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "langchain", "pytorch", "rag", "spark", "sql" ], "source": "ats-greenhouse:databricks", "source_job_id": "8569392002" }, { "slug": "openai-applied-ai-engineer-delhi", "company": "OpenAI", "logo_url": "", "title": "Applied AI Engineer", "title_normalized": "applied ai engineer", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Delhi, India", "city": "Delhi", "country": "India", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/bf036b23-cd23-46d0-a02f-4b1483f4698a", "apply_type": "redirect", "posted_at": "2026-08-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "python", "typescript" ], "source": "ats-ashby:openai", "source_job_id": "bf036b23-cd23-46d0-a02f-4b1483f4698a" }, { "slug": "scale-ai-frontier-agents-engineer-applied-ai-new-york", "company": "Scale AI", "logo_url": "", "title": "Frontier Agents Engineer (Applied AI)", "title_normalized": "frontier agents engineer (applied ai)", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Frontier Agent Engineer (Applied AI), you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterprise data, and deterministic software into reliable production workflows. Engineer customer intelligence layers, retrieval pipelines, memory systems, and knowledge representations that allow agents to reason over large, heterogeneous enterprise data. Develop multi-agent systems that coordinate reasoning, planning, tool execution, and human oversight. Translate frontier AI research into production systems by rapidly evaluating new models, prompting techniques, reasoning paradigms, and agent architectures. Experimentation & Evaluation Own the full experimentation lifecycle, from hypothesis generation to production rollout. Design rigorous evaluation frameworks using offline benchmarks, online A/B experiments, golden datasets, regression suites, LLM-as-a-Judge, and human evaluation. Run controlled experiments and ablation studies to understand the contribution of different models, prompts, retrieval strategies, reasoning techniques, memory systems, and agent architectures. Continuously evaluate newly released frontier models and determine where they meaningfully improve quality, latency, reliability, or cost. Develop confidence estimation, reflection, and continuous learning systems that improve agents over time using real-world feedback. Measure success through business outcomes, not benchmark scores. Production AI Engineering Build production-quality AI systems with a strong emphasis on reliability, observability, latency, safety, and cost. Design agent guardrails, fallback strategies, tracing, monitoring, and evaluation pipelines that enable safe deployment in high-stakes environments. Collaborate with infrastructure engineers to deploy AI systems securely within enterprise cloud environments. Build human-in-the-loop workflows that effectively combine AI automation with expert oversight. Customer Innovation Partner directly with enterprise customers to understand their business, data, and operational challenges. Translate ambiguous customer problems into production AI architectures. Rapidly prototype new ideas, validate them with customers, and evolve successful solutions into scalable production systems. Identify reusable patterns that become core capabilities across many enterprise deployments. What Makes This Role Different You'll work across the full lifecycle of modern AI systems: Designing reasoning and agent architectures Building retrieval, memory, and customer intelligence systems Developing predictive models that work alongside LLMs Running experiments and ablation studies Shipping production systems into enterprise environments Measuring business impact through online experimentation Continuously improving agents using real-world feedback We believe the fastest way to grow as an Frontier Agents engineer is to solve many different AI problems, not the same problem repeatedly. You'll work across diverse industries, datasets, model architectures, and agentic systems, rapidly developing intuition for what makes AI systems successful in production. Required Qualifications 4+ years of software engineering, machine learning, or applied AI experience. Strong Python programming skills. Experience building production AI systems using LLMs. Experience with modern AI tooling, including OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems. Strong understanding of machine learning fundamentals and modern language models. Experience designing or evaluating AI systems using quantitative metrics. Excellent communication skills and the ability to work directly with enterprise customers. Preferred Qualifications Applied AI Experience building production AI agents or autonomous systems. Deep understanding of reasoning, retrieval, memory, planning, and tool use. Experience designing evaluation frameworks for LLMs and agentic systems. Experience with RAG, semantic search, knowledge graphs, customer intelligence systems, or structured knowledge representations. Experience with fine-tuning, distillation, reinforcement learning, small language models, or model optimization. Familiarity with multimodal AI systems and frontier foundation models. Software Engineering Experience building distributed production systems. Experience with cloud platforms such as AWS, Azure, or GCP. Experience with Docker, Kubernetes, CI/CD, and production observability. Experience integrating AI systems into enterprise software environments. Customer Engineering Experience working directly with enterprise customers. Ability to translate ambiguous business problems into technical architectures. Strong written and verbal communication skills. Experience leading technical workshops, architecture reviews, or customer design sessions. Dual Fluency While this role initially emphasizes Applied AI and machine learning, every Frontier Agent Engineer develops expertise across both Applied AI and Forward Deployed Engineering. Over time, you'll gain hands-on experience integrating AI systems into enterprise environments, deploying production infrastructure, and working directly with customer engineering teams. Our goal is to develop engineers who can move seamlessly between cutting-edge AI research and real-world production systems.Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive", "location_raw": "San Francisco, CA; New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Enterprise Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4720573005", "apply_type": "redirect", "posted_at": "2026-07-31", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "docker", "gcp", "kubernetes", "llm", "python", "rag" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4720573005" }, { "slug": "scale-ai-senior-frontier-agents-engineer-applied-ai-new-york", "company": "Scale AI", "logo_url": "", "title": "Senior Frontier Agents Engineer (Applied AI)", "title_normalized": "senior frontier agents engineer (applied ai)", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Senior Frontier Agent Engineer (Applied AI), you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterprise data, and deterministic software into reliable production workflows. Engineer customer intelligence layers, retrieval pipelines, memory systems, and knowledge representations that allow agents to reason over large, heterogeneous enterprise data. Develop multi-agent systems that coordinate reasoning, planning, tool execution, and human oversight. Translate frontier AI research into production systems by rapidly evaluating new models, prompting techniques, reasoning paradigms, and agent architectures. Experimentation & Evaluation Own the full experimentation lifecycle, from hypothesis generation to production rollout. Design rigorous evaluation frameworks using offline benchmarks, online A/B experiments, golden datasets, regression suites, LLM-as-a-Judge, and human evaluation. Run controlled experiments and ablation studies to understand the contribution of different models, prompts, retrieval strategies, reasoning techniques, memory systems, and agent architectures. Continuously evaluate newly released frontier models and determine where they meaningfully improve quality, latency, reliability, or cost. Develop confidence estimation, reflection, and continuous learning systems that improve agents over time using real-world feedback. Measure success through business outcomes, not benchmark scores. Production AI Engineering Build production-quality AI systems with a strong emphasis on reliability, observability, latency, safety, and cost. Design agent guardrails, fallback strategies, tracing, monitoring, and evaluation pipelines that enable safe deployment in high-stakes environments. Collaborate with infrastructure engineers to deploy AI systems securely within enterprise cloud environments. Build human-in-the-loop workflows that effectively combine AI automation with expert oversight. Customer Innovation Partner directly with enterprise customers to understand their business, data, and operational challenges. Translate ambiguous customer problems into production AI architectures. Rapidly prototype new ideas, validate them with customers, and evolve successful solutions into scalable production systems. Identify reusable patterns that become core capabilities across many enterprise deployments. What Makes This Role Different You'll work across the full lifecycle of modern AI systems: Designing reasoning and agent architectures Building retrieval, memory, and customer intelligence systems Developing predictive models that work alongside LLMs Running experiments and ablation studies Shipping production systems into enterprise environments Measuring business impact through online experimentation Continuously improving agents using real-world feedback We believe the fastest way to grow as an Frontier Agents engineer is to solve many different AI problems, not the same problem repeatedly. You'll work across diverse industries, datasets, model architectures, and agentic systems, rapidly developing intuition for what makes AI systems successful in production. Required Qualifications 5+ years of software engineering, machine learning, or applied AI experience. Strong Python programming skills. Experience building production AI systems using LLMs. Experience with modern AI tooling, including OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems. Strong understanding of machine learning fundamentals and modern language models. Experience designing or evaluating AI systems using quantitative metrics. Excellent communication skills and the ability to work directly with enterprise customers. Preferred Qualifications Applied AI Experience building production AI agents or autonomous systems. Deep understanding of reasoning, retrieval, memory, planning, and tool use. Experience designing evaluation frameworks for LLMs and agentic systems. Experience with RAG, semantic search, knowledge graphs, customer intelligence systems, or structured knowledge representations. Experience with fine-tuning, distillation, reinforcement learning, small language models, or model optimization. Familiarity with multimodal AI systems and frontier foundation models. Software Engineering Experience building distributed production systems. Experience with cloud platforms such as AWS, Azure, or GCP. Experience with Docker, Kubernetes, CI/CD, and production observability. Experience integrating AI systems into enterprise software environments. Customer Engineering Experience working directly with enterprise customers. Ability to translate ambiguous business problems into technical architectures. Strong written and verbal communication skills. Experience leading technical workshops, architecture reviews, or customer design sessions. Dual Fluency While this role initially emphasizes Applied AI and machine learning, every Frontier Agent Engineer develops expertise across both Applied AI and Forward Deployed Engineering. Over time, you'll gain hands-on experience integrating AI systems into enterprise environments, deploying production infrastructure, and working directly with customer engineering teams. Our goal is to develop engineers who can move seamlessly between cutting-edge AI research and real-world production systems.Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also ", "location_raw": "San Francisco, CA; New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Enterprise Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4720478005", "apply_type": "redirect", "posted_at": "2026-07-31", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "docker", "gcp", "kubernetes", "llm", "python", "rag" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4720478005" }, { "slug": "databricks-forward-deployed-engineering-senior-architect-united-kingdom", "company": "Databricks", "logo_url": "", "title": "Forward Deployed Engineering - Senior Architect", "title_normalized": "forward deployed engineering - senior architect", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "ADD REQ ID As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "London, United Kingdom", "city": "", "country": "United Kingdom", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8656202002", "apply_type": "redirect", "posted_at": "2026-07-30", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8656202002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-fullstack-munich", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer - FDE (Fullstack)", "title_normalized": "sr. forward deployed engineer - fde (fullstack)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R34 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Berlin, Germany; Munich, Germany", "city": "Munich", "country": "Germany", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8645052002", "apply_type": "redirect", "posted_at": "2026-07-29", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8645052002" }, { "slug": "databricks-sr-forward-deployed-engineer-stockholm", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R155 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Stockholm, Sweden", "city": "Stockholm", "country": "Sweden", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8645054002", "apply_type": "redirect", "posted_at": "2026-07-28", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8645054002" }, { "slug": "databricks-sr-forward-deployed-engineer-public-sector-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer - Public Sector", "title_normalized": "sr. forward deployed engineer - public sector", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R221 PLEASE NOTE:Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government Public Trust, Secret and/or Top Secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Public Trust or higher clearance are strongly encouraged to apply. About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What We're Looking For Minimum Qualifications 6+ years experience in data engineering, data platforms & analytics, or software engineering Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces Experience with technical project delivery, documentation and white-boarding skills Experience working with enterprise clients and managing conflicts across a broad stakeholder range Preferred Qualifications 10+ years experience in data engineering, data platforms & analytics, or software engineering Databricks Certification Expertise in MLOps, ML/AI models, and AI APIs Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Berkeley, California; California; Connecticut; Los Angeles, California; Massachusetts; New Hampshire; New Jersey; New York; Pennsylvania; Rhode Island; San Diego, California; Washington", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8632188002", "apply_type": "redirect", "posted_at": "2026-07-28", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8632188002" }, { "slug": "ramp-software-engineer-forward-deployed-ai-solutions-new-york", "company": "Ramp", "logo_url": "", "title": "Software Engineer, Forward Deployed AI Solutions", "title_normalized": "software engineer, forward deployed ai solutions", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a software engineer on the AI Solutions team, you will co-lead customer engagements with an AI Solutions Strategist. The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness. This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage. WHAT YOU’LL DO - Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost. - Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers. - Create and maintain solution architecture artifacts: - System context and data flow diagrams - Integration plan across Ramp and customer systems - Security model covering permissions, access patterns, and auditability - Evaluation plan covering quality metrics, acceptance tests, and red-teaming - Operational plan covering monitoring, alerting, incident response, and runbooks - Leverage core Ramp primitives to build efficiently, reusing existing product capabilities wherever possible. - Prototype and validate workflows with end users to de-risk the approach and prove product-market fit. - Drive projects from bootcamp and technical discovery through implementation, production launch, and operational handoff. - Ensure deployed workflows are reliable, supportable, measurable, and adopted by customer teams. - Convert deployments into reusable patterns, components, and playbooks for future AI Solutions projects. WHAT YOU NEED - Experience shipping production software in high-ownership environments. - Ability to work directly with enterprise customers from discovery through production implementation. - Experience in solutions architecture, technical consulting, forward deployed engineering, or pre-sales engineering. - Strong fundamentals in ML/GenAI, including problem decomposition, evaluation, and deployment trade-offs. - Strong coding ability in at least one of: Python, TypeScript/JavaScript, Java, Go, or similar. - Ability to design secure, scalable systems and produce clear technical documentation. - Comfort working across APIs, integrations, data pipelines, customer systems, and cloud infrastructure. - Experience with cloud architecture on AWS, GCP, or Azure, and distributed systems patterns. - Experience building LLM systems, including RAG, agents, monitoring, and evals. - Willingness to travel up to ~50% as needed, flexible based on project needs and client needs - Nice to have: Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf. OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice", "location_raw": "New York, NY (HQ)", "city": "New York", "country": "United States", "remote_type": "remote", "department": "Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/ramp/b614563f-3ce6-4dca-b5ba-0e5a6c8bda27", "apply_type": "redirect", "posted_at": "2026-07-28", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "go", "java", "llm", "python", "rag", "typescript" ], "source": "ats-ashby:ramp", "source_job_id": "b614563f-3ce6-4dca-b5ba-0e5a6c8bda27" }, { "slug": "databricks-manager-forward-deployed-engineering-japan", "company": "Databricks", "logo_url": "", "title": "Manager, Forward Deployed Engineering", "title_normalized": "manager, forward deployed engineering", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "Req ID: CSQ427R97Location: Tokyo, Japan Mission We are FDEs! The Forward Deployed Engineering team is a highly specialized, customer-facing unit within Databricks. We work with strategic customers to design, build, and productionize high-impact data and AI solutions on the Databricks Data Intelligence Platform. As Manager, Forward Deployed Engineering, you will lead and grow a team of customer-facing engineers focused on solving complex data engineering and AI challenges for some of our most strategic customers. You will help shape delivery strategy, develop senior technical talent, build trusted executive relationships, and ensure our teams deliver measurable customer outcomes at high quality and scale. This is a hands-on leadership role: you will manage and grow the team while remaining the senior technical authority they escalate to. This role is ideal for a leader who combines strong people management with deep technical credibility in data engineering, platform architecture, and large-scale production delivery. The impact you will have Lead, hire, mentor, and grow a team of ~10 high-performing Forward Deployed Engineers, building a strong culture of technical excellence, customer obsession, and execution Partner with customers and internal stakeholders to shape complex engagements that deliver meaningful business outcomes on Databricks Guide teams through end-to-end solution delivery, from discovery and architecture through implementation, deployment, and enablement Build trusted relationships with technical and executive stakeholders, acting as a senior advisor during strategic customer engagements Serve as the senior technical escalation point for the team. Stay hands-on enough to dive into architecture reviews, unblock complex delivery issues, and make high-stakes technical calls alongside your engineers on the most strategic accounts. Coach engineers on solution design, stakeholder management, delivery quality, and long-term career development Partner closely with Sales, Field Engineering, Product, and Professional Services leadership to align on account strategy, staffing, and execution Improve repeatability and scale by developing reusable patterns, delivery best practices, technical assets, and team processes Help the organization grow its presence in data engineering-led transformations, including modern data platforms, pipelines, governance, and production workloads What we look for Experience leading, hiring, and developing high-performing technical teams in customer-facing environments Current, hands-on technical credibility. Able to personally review designs, debug production issues, and act as the final technical escalation point rather than manage from above. Strong background in data engineering, big data systems, and production data platform delivery Experience across modern data workloads such as ingestion, transformation, orchestration, warehousing, analytics/BI, or streaming in enterprise environments Strong hands-on fluency in Python and SQL; familiarity with distributed processing frameworks (Apache Spark) and JVM languages (Scala/Java) is a plus Passion for reinventing delivery through AI. Continuously experiments with and operationalizes the latest AI coding tools (e.g., Genie, Claude Code, Codex) to improve productivity, quality, and repeatability across the team Ability to scope and guide complex technical engagements, manage escalations, and ensure successful delivery across multiple stakeholders Strong executive communication skills, with the ability to translate technical decisions into business impact, or vice versa Comfort operating in ambiguous environments and leading teams through fast-moving, high-visibility customer work Experience working with cloud platforms such as AWS, Azure, or Google CloudGCP Fluent Japanese is required, and business-level English is required Preferred qualifications Experience delivering lakehouse, analytics, or AI-adjacent solutions in complex enterprise environments Deep hands-on understanding of Apache Spark, distributed data processing, and modern data architecture patterns Familiarity with data governance, security, and platform operating models Experience building reusable delivery frameworks, technical accelerators, or practice-level standards Track record of influencing cross-functional strategy across sales, product, and delivery organizations About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Tokyo, Japan", "city": "", "country": "Japan", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8535419002", "apply_type": "redirect", "posted_at": "2026-07-27", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "java", "python", "spark", "sql" ], "source": "ats-greenhouse:databricks", "source_job_id": "8535419002" }, { "slug": "databricks-forward-deployed-engineer-fde-public-sector-united-states", "company": "Databricks", "logo_url": "", "title": "Forward Deployed Engineer (FDE) - Public Sector", "title_normalized": "forward deployed engineer (fde) - public sector", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R219 PLEASE NOTE:Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What We're Looking For: Minimum Qualifications: 5+ years experience in data engineering, data platforms & analytics, or software engineering Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces Experience with technical project delivery, documentation and white-boarding skillsExperience working with enterprise clients and managing conflicts across a broad stakeholder rangePreferred Qualifications: 7+ years experience in data engineering, data platforms & analytics, or software engineering Expertise in MLOps, ML/AI models, and AI APIs Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$152,900—$210,155 USDZone 2 Pay Range$152,900—$210,155 USDZone 3 Pay Range$152,900—$210,155 USDZone 4 Pay Range$152,900—$210,155 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "United States", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8611108002", "apply_type": "redirect", "posted_at": "2026-07-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8611108002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-retail-united-states-2", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Retail", "title_normalized": "sr. forward deployed engineer (fde) - retail", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Central - United States", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8647667002", "apply_type": "redirect", "posted_at": "2026-07-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8647667002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-retail-united-states-3", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Retail", "title_normalized": "sr. forward deployed engineer (fde) - retail", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - California", "city": "", "country": "United States", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8647677002", "apply_type": "redirect", "posted_at": "2026-07-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8647677002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-retail-united-states-4", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Retail", "title_normalized": "sr. forward deployed engineer (fde) - retail", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Denver, Colorado", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8647675002", "apply_type": "redirect", "posted_at": "2026-07-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8647675002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-retail-united-states-5", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Retail", "title_normalized": "sr. forward deployed engineer (fde) - retail", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Dallas, Texas", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8647670002", "apply_type": "redirect", "posted_at": "2026-07-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8647670002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-retail-united-states-6", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Retail", "title_normalized": "sr. forward deployed engineer (fde) - retail", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Chicago, Illinois", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8647669002", "apply_type": "redirect", "posted_at": "2026-07-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8647669002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-retail-united-states-7", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Retail", "title_normalized": "sr. forward deployed engineer (fde) - retail", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Austin, Texas", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8647668002", "apply_type": "redirect", "posted_at": "2026-07-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8647668002" }, { "slug": "palantir-forward-deployed-software-engineer-nato-london", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - NATO", "title_normalized": "forward deployed software engineer - nato", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Engineers (FDEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "London, United Kingdom", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/73d1a90c-162d-4cb6-9e0c-4c8de9561ad0/apply", "apply_type": "redirect", "posted_at": "2026-07-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "73d1a90c-162d-4cb6-9e0c-4c8de9561ad0" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-retail-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Retail", "title_normalized": "sr. forward deployed engineer (fde) - retail", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Northeast - United States; Southeast - United States", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8643895002", "apply_type": "redirect", "posted_at": "2026-07-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8643895002" }, { "slug": "openai-manager-forward-deployed-engineer-tokyo-tokyo", "company": "OpenAI", "logo_url": "", "title": "Manager, Forward Deployed Engineer - Tokyo", "title_normalized": "manager, forward deployed engineer - tokyo", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "About the Team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 40%, although mainly local. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role, you will: - Lead and grow a team of FDE delivering production systems with frontier models - Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality - Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community - Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices - Use judgement to distinguish what requires action and what does not - Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback - Define how we staff and support field teams that can scale without added complexity You might thrive in this role if you: - Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers - Have led high-pressure technical projects from prototype to production - Write and review production-grade code across frontend and backend - Simplify complex work and make fast, sound decisions under pressure - Elevate team performance through clarity, not process - Operate with urgency in ambiguous or evolving environments - Translate field experience into sharp, actionable feedback for Product and Research - Build deep trust with your team by modeling calm, focus, and judgment when it matters most About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Tokyo, Japan", "city": "Tokyo", "country": "Japan", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/bef38cc8-b13c-4ca8-8e1c-7d97139efdea", "apply_type": "redirect", "posted_at": "2026-07-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "bef38cc8-b13c-4ca8-8e1c-7d97139efdea" }, { "slug": "openai-applied-ai-engineer-enterprise-s-o-paulo", "company": "OpenAI", "logo_url": "", "title": "Applied AI Engineer, Enterprise", "title_normalized": "applied ai engineer, enterprise", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "São Paulo", "city": "São Paulo", "country": "Brazil", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/44d19f5f-a5da-4226-9d1a-0147604773eb", "apply_type": "redirect", "posted_at": "2026-07-20", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "python", "typescript" ], "source": "ats-ashby:openai", "source_job_id": "44d19f5f-a5da-4226-9d1a-0147604773eb" }, { "slug": "databricks-manager-forward-deployed-engineering-singapore", "company": "Databricks", "logo_url": "", "title": "Manager, Forward Deployed Engineering", "title_normalized": "manager, forward deployed engineering", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "CSQ427R211 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering for Singapore, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. This role will report to a Sr. Manager, Forward Deployed Engineering. The impact you will have: Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ASEAN/GCR FDE portfolio Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational FDE programs spanning data migrations, AI/ML platforms, and advanced analytics Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE & AI Engineering practice Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution Develop and retain exceptional technical talent: mentor FDEs and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth What we look for: 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Singapore", "city": "Singapore", "country": "Singapore", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8629997002", "apply_type": "redirect", "posted_at": "2026-07-14", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "mlflow", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8629997002" }, { "slug": "scale-ai-forward-deployed-product-manager-public-sector-new-york", "company": "Scale AI", "logo_url": "", "title": "Forward Deployed Product Manager, Public Sector", "title_normalized": "forward deployed product manager, public sector", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "Scale is accelerating the development of AI across the world's most important organizations, including the U.S. Department of War (DoW), its constituent services, and the broader U.S. National Security industry. The Product Manager, Public Sector will lead Scale's product efforts across two connected focus areas — military planning and real-time AI and Alerting (LUX) — shaping real production outcomes and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. This PM owns product outcomes for a cross-cutting portfolio of AI and data capabilities: earning deep trust with senior military, civilian, and mission stakeholders, driving deployments to production inside classified and operationally constrained environments, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to Scale's platform team. The best candidates have shipped AI or real-time data products into defense or other large, security-constrained organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do Own product outcomes across Scale's military planning portfolio and/or its highest-impact national security accounts for LUX, spanning multiple DoW and National Security stakeholders and use cases. You are the accountable PM for product delivery and customer value. Translate operational reality into high-signal product input for engineering and platform teams — specific, evidence-backed product perspective with tradeoffs articulated, not requirements docs. This includes military planning workflows (e.g., the Joint Planning Process) and modeling/simulation requirements (e.g., AFSIM), as well as real customer workflows, latency/throughput constraints, and mission priorities for LUX. Build trusted advisory relationships with senior military leaders (flag/general officer and senior civilian equivalents), National Security customer stakeholders, and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally. Drive deployments from contract to production inside classified and operationally constrained environments — whether that means military planning workflows or LUX's low-latency, high-throughput, mission-critical data systems. You know what \"production-ready\" means inside DoW, and you close the gap. Distinguish where the product is the constraint from where execution, integration, policy, or change management is the constraint. Drive each type of blocker to resolution through the right channel. Shape a cross-cutting set of solutions spanning multiple stakeholders, echelons, and use cases, rather than owning a single point deployment. Partner closely with Forward Deployed Engineering (FDE) teams and Platform Capability teams so the account runs as a coordinated team, not a set of parallel workstreams. Identify and develop expansion opportunities grounded in demonstrated customer value. Represent customer reality to the platform and leadership with enough credibility that it changes decisions. Balance competing requirements across CCMDs and service components that must collaborate despite differing needs — distinct from building for a single customer. Travel as required to customer sites, including classified facilities. What We're Looking For Core Competencies: Enterprise deployment ownership: has driven AI/ML or complex/real-time software products from contract to production at scale — including near-zero-to-one, with no real users yet — with real integration, real security constraints, and real change management. Domain fluency: working knowledge of the military planning process and modeling/simulation tools (e.g., Joint Planning Process, AFSIM), and/or the tradeoffs inherent to real-time, event-driven, high-throughput data architectures and their implications for AI agents — and how each shapes product decisions. Product judgment in the field: translates customer reality into product direction, not just feature requests; can say no credibly and explain why. Customer trust-building: earns and maintains trust with demanding senior military, civilian, and mission stakeholders over multi-quarter engagements; manages conflict without eroding the relationship. Technical translation: bridges the gap between customer engineering/planning teams and Scale platform engineers; adds interpretation rather than simply relaying messages. Operating in ambiguity and constrained environments: creates structure where there is none; makes decisions with incomplete information inside classified settings; does not wait for fully defined requirements. Clear, precise communication: adjusts for audience (senior leader vs. engineer vs. PM); writes and speaks at the right level of detail; does not over- or under-explain. Must-Have: Active TOP SECRET security clearance (TS/SCI eligibility preferred). 6+ years in product management, technical program management, or a customer-facing product ownership role Direct experience working with the U.S. Department of War (DoW) or the broader U.S. national security community. Working knowledge of at least one of the following, with an ability to speak credibly to the other: The military planning process (e.g., the Joint Planning Process) and modeling/simulation systems (e.g., AFSIM). Real-time streaming data systems — event-driven architectures, low-latency pipelines, and high-throughput data processing — and how they behave in production. Demonstrated record of shipping AI or data products into large, constrained, classified, or highly regulated organizations — not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like. Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments. Comfortable operating with senior military/civilian/mission stakeholders and senior engineers simultaneously; credible presence in high-stakes rooms on both sides. Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash. Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs — not deep coding, but genuine comprehension of how systems work in production. Ability to shape a cross-cutting set of solutions across multiple stakeholders and use cases, rather than customer-specific solutions. Ability to travel, including to classified facilities. Nice-To-Have: Direct experience with AI/ML platform products — agentic capabilities, human-agent interaction, large-scale data, some T&E; or data labeling, RLHF, fine-tuning workflows, and model evaluation pipelines. Hands-on familiarity with streaming technologies (e.g., Kafka, Flink, Kinesis) or the operational systems that consume them. Experience in a startup or early-stage environment where process didn't exist and had to be created. Prior forward-deployed or embedded role (consulting, field PM, solutions engineering with ownership). Prior military service or DoD/DoW civilian experience in an operations, planning, or acquisitions role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific ", "location_raw": "New York, NY; Washington, DC", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Public Sector Product", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4713648005", "apply_type": "redirect", "posted_at": "2026-07-14", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4713648005" }, { "slug": "databricks-manager-forward-deployed-engineering-public-sector-united-states", "company": "Databricks", "logo_url": "", "title": "Manager, Forward Deployed Engineering - Public Sector", "title_normalized": "manager, forward deployed engineering - public sector", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "PLEASE NOTE: Due to federal contract requirements and client site access obligations, an active U.S. government security clearance is required. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active secret or higher clearance are strongly encouraged to apply. CSQ427R212 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers across Public Sector, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The impact you will have: Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for: 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Public Sector, Manufacturing, Finance, Healthcare, Retail, Telco, or Energy. Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. Ability to travel to customer sites and Databricks offices approximately 20% of the time. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range$211,800—$291,300 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Maryland; Virginia; Washington, D.C.", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8629163002", "apply_type": "redirect", "posted_at": "2026-07-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "mlflow", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8629163002" }, { "slug": "databricks-ai-engineer-fde-forward-deployed-engineer-united-kingdom", "company": "Databricks", "logo_url": "", "title": "AI Engineer - FDE (Forward Deployed Engineer)", "title_normalized": "ai engineer - fde (forward deployed engineer)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets Willing to travel once every 4-8 weeks to see customers (as needed) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "London, United Kingdom", "city": "", "country": "United Kingdom", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8593713002", "apply_type": "redirect", "posted_at": "2026-07-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "langchain", "pytorch", "rag", "spark", "sql" ], "source": "ats-greenhouse:databricks", "source_job_id": "8593713002" }, { "slug": "databricks-sr-staff-forward-deployed-engineer-singapore", "company": "Databricks", "logo_url": "", "title": "Sr. Staff Forward Deployed Engineer", "title_normalized": "sr. staff forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R198 As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces. AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions. Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Singapore", "city": "Singapore", "country": "Singapore", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8555674002", "apply_type": "redirect", "posted_at": "2026-07-09", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "java", "python", "sql", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8555674002" }, { "slug": "databricks-staff-forward-deployed-engineer-india", "company": "Databricks", "logo_url": "", "title": "Staff Forward Deployed Engineer", "title_normalized": "staff forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R195 As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors. The impact you will have: Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies. Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications. Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions. Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements. Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust. What we look for: 15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role 6+ years of experience working on Big Data Architectures independently 2+ years of experience working on AI based implementations including RAG, MCP, Context engineering etc. Strong experience working in the Databricks ecosystem Comfortable writing code in either Python or Scala. Experience working across Cloud Platforms (GCP / AWS / Azure) Documentation and white-boarding skills. Excellent problem solving and critical thinking skills that turn business problems in to reliable technical products Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects. Excellent stakeholder management skills to collaborate with both technical and domain experts Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - India", "city": "", "country": "India", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8530855002", "apply_type": "redirect", "posted_at": "2026-07-08", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "rag", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8530855002" }, { "slug": "openai-applied-ai-engineer-enterprise-san-francisco", "company": "OpenAI", "logo_url": "", "title": "Applied AI Engineer, Enterprise", "title_normalized": "applied ai engineer, enterprise", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "San Francisco", "city": "San Francisco", "country": "United States", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/01091aed-427d-4e10-8cdb-fb500cf55bb9", "apply_type": "redirect", "posted_at": "2026-07-08", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "python", "typescript" ], "source": "ats-ashby:openai", "source_job_id": "01091aed-427d-4e10-8cdb-fb500cf55bb9" }, { "slug": "scale-ai-sr-staff-ml-forward-deployed-engineer-enterprise-genai-london", "company": "Scale AI", "logo_url": "", "title": "Sr Staff ML Forward Deployed Engineer, Enterprise GenAI", "title_normalized": "sr staff ml forward deployed engineer, enterprise genai", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Enterprise Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4712145005", "apply_type": "redirect", "posted_at": "2026-07-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "gcp", "kubernetes", "python", "sql", "typescript" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4712145005" }, { "slug": "databricks-manager-forward-deployed-engineering-amsterdam", "company": "Databricks", "logo_url": "", "title": "Manager, Forward Deployed Engineering", "title_normalized": "manager, forward deployed engineering", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "(REQ ID: CSQ427R209)Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: Oversee regional performance targets, including billable utilisation, team growth, and hiring, while championing delivery excellence and customer success across the FDE portfolio. Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. Synthesise field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for: Key requirements 4+ years leading high-performing technical delivery teams, with a proven track record building excellence-driven cultures 5+ years as a technical solutions architect or data/AI engineer, providing coaching credibility Proven technical depth to personally build with AI, coach teams with best practices, drive organisation-wide adoption Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments Strong understanding of technical project delivery, including scope, timelines, and SOW management Strong stakeholder management skills navigating complex, high-stakes customer environments Ability to travel to customer sites approximately 20% of the time Nice-to-Haves Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem Consulting / professional services background with a hands-on technical foundation Prior experience at a hyperscaler (Google, AWS, Azure) or a top data/AI company An in-house/industry stint alongside vendor-side delivery experience About the Team Forward Deployed Engineering sits at the frontier of Databricks delivery — engineers who embed with enterprise customers to architect and build full-stack data and AI solutions on the platform. The Amsterdam team serves customers across the region undergoing data and AI transformation, and is growing its practice with a focus on delivery excellence and AI-native solutions. More than 10,000 organisations worldwide — including over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform. ——— #LI-hybridAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Amsterdam, Netherlands", "city": "Amsterdam", "country": "Netherlands", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8613192002", "apply_type": "redirect", "posted_at": "2026-07-02", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "go", "mlflow", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8613192002" }, { "slug": "palantir-forward-deployed-software-engineer-spain-madrid", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Spain", "title_normalized": "forward deployed software engineer - spain", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Madrid, Spain", "city": "Madrid", "country": "Spain", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/53fb4c05-f949-4146-a046-5c063c36a628/apply", "apply_type": "redirect", "posted_at": "2026-06-29", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "53fb4c05-f949-4146-a046-5c063c36a628" }, { "slug": "anthropic-manager-applied-ai-engineering-beneficial-deployments-life-sciences-san-francisco", "company": "Anthropic", "logo_url": "", "title": "Manager, Applied AI Engineering, Beneficial Deployments (Life Sciences)", "title_normalized": "manager, applied ai engineering, beneficial deployments (life sciences)", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: Biology is the area where scientific progress has perhaps the greatest potential to directly and unambiguously improve human life — and we believe powerful AI could meaningfully accelerate the rate of biological discovery, helping compress decades of progress into years. With Claude for Life Sciences, we're building tools that accelerate the work of scientists and drug developers across the full lifecycle, from early discovery through clinical translation and regulatory review. As the Applied AI Engineering Manager for Life Sciences, you'll lead the team of engineers who turn that ambition into deployed reality inside the world's leading scientific organizations. Our Applied AI Engineers are the technical front line: they sit with customers, understand their scientific and regulatory workflows in depth, and build the prototypes, integrations, and agents that let Claude do meaningful work in the lab and the clinic. You'll grow and lead this team, own the technical success of our most strategic life sciences accounts, those ties to advancing our strategy and mission, and create the feedback loop that turns what we learn in the field into better products and models. This is more than wiring up a chatbot. As our own research has shown, the hard part of putting agents to work in biology is the infrastructure beneath them: messy databases, idiosyncratic file formats, scattered APIs, and metadata conventions where a single wrong or missing record can change a scientific conclusion. Your team builds the deterministic tools, connectors, and evaluations that make biological data reliably accessible to agents — and holds the work to a research-grade bar, where an answer has to be correct, reproducible, and auditable, not just plausible. This is a hands-on leadership role. You'll coach engineers and raise the bar on their work, stay close enough to the technology to review prototypes and contribute directly, and partner across go-to-market, product, and research. Because this work sits in a sensitive, dual-use domain, you'll also help set the standard for how we deploy responsibly — enabling legitimate science while taking safety seriously. In this role, you will: Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow. Own technical success with partners: be accountable for the technical outcomes of our strategic pharma and biotech deployments, from first scoping conversation through production. Stay hands-on: review and contribute to prototypes, MCP integrations, agentic workflows, and Claude Code for Bio solutions; help the team get unblocked on the hardest technical problems. Build agent-ready scientific infrastructure: guide the team in creating the deterministic tools, connectors/harnesses, and evaluations that make messy biological data and workflows reliably accessible to Claude — in partnership with scientists and research institutions. Translate the field into the roadmap: partner cross functionally to turn what you learn from deployments into improvements in Anthropic's life sciences products and models. Set the standard for responsible deployment: work alongside our safety teams to enable beneficial scientific work while guarding against misuse in a dual-use domain. Build for the frontier: use deep knowledge of frontier model intelligence coupled to your work in R&D and research to rapidly progress toward solutions to meaningful problems in life sciences. You may be a good fit if you: Have led or technically mentored software/ML engineers, ideally in a forward-deployed, solutions, or customer-facing engineering setting. Have a background in pharma, biotech, computational biology, bioinformatics, or clinical/regulatory affairs. Have a strong hands-on engineering background and are comfortable reading and writing production code, not just managing those who do. Have delivered technical work directly with external customers or partners, and can communicate credibly with both technical experts and executives. Have built on top of large language models or agents Are energized by an unfamiliar technical domain and have a track record of going deep fast. Hold a high bar for reliability and reproducibility, and understand why a plausible-looking answer that's subtly wrong can be worse than no answer in scientific work. Have built tooling, data infrastructure, evals, or agent harnesses that turn messy real-world data into something usable and trustworthy — especially welcome if in a scientific or research setting. Care deeply about the safe and beneficial deployment of AI, especially in sensitive domains. Strong candidates may also have: Experience deploying LLM or agent systems in regulated or enterprise environments. Experience building MCP servers, developer tooling, or scientific computing pipelines. Experience scaling a customer-facing technical team through a period of rapid growth. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$320,000—$405,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on sm", "location_raw": "San Francisco, CA | New York City, NY", "city": "San Francisco", "country": "United States", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5277834008", "apply_type": "redirect", "posted_at": "2026-06-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "llm" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5277834008" }, { "slug": "databricks-manager-forward-deployed-engineering-cmeg-united-states", "company": "Databricks", "logo_url": "", "title": "Manager, Forward Deployed Engineering - CMEG", "title_normalized": "manager, forward deployed engineering - cmeg", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "CSQ227R53 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers across Communications, Media, Entertainment & Gaming (CMEG), you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The impact you will have: Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. What we look for: 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy. Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. Ability to travel to customer sites and Databricks offices approximately 20% of the time. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range$211,800—$291,300 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - Washington D.C.", "city": "", "country": "United States", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8585019002", "apply_type": "redirect", "posted_at": "2026-06-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "mlflow", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8585019002" }, { "slug": "openai-forward-deployed-engineer-seoul-seoul", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer - Seoul", "title_normalized": "forward deployed engineer - seoul", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seoul. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production. - Build full-stack systems that deliver customer value and sharpen how we learn. - Embed closely with customer teams, understand their needs, and guide adoption of what you build. - Scope work, sequence delivery, and remove blockers early. - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. - Contribute directly in the code when progress or clarity depends on it. - Codify working patterns into tools, playbooks, or building blocks that others can use. - Share field feedback that helps Research and Product understand where the models succeed and where they can improve. - Keep teams moving through clarity and follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. - Have scoped and delivered complex systems in fast-moving or ambiguous environments. - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. - Simplify complexity and make fast, sound decisions under pressure. - Communicate clearly with engineers, product teams, and customer stakeholders. - Spot risks early and adjust without slowing down. - Model calm and judgment when the stakes are high. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Seoul, South Korea", "city": "Seoul", "country": "South Korea", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/b43339a1-e830-4761-a193-3438f34f9ebb", "apply_type": "redirect", "posted_at": "2026-06-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "python" ], "source": "ats-ashby:openai", "source_job_id": "b43339a1-e830-4761-a193-3438f34f9ebb" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Atlanta, Georgia", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8592908002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8592908002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states-2", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Boston, Massachusetts", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8592937002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8592937002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states-3", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Chicago, Illinois", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8592938002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8592938002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states-4", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Philadelphia, Pennsylvania", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8592939002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8592939002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states-5", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "New York City, New York", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8592942002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8592942002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states-6", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Charlotte, North Carolina", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8592951002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8592951002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states-7", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Washington, D.C.", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8592952002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8592952002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states-8", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Central - United States", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8438791002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8438791002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-financial-services-united-states-9", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Financial Services", "title_normalized": "sr. forward deployed engineer (fde) - financial services", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R59 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Dallas, Texas", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8592928002", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8592928002" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-tokyo", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist", "title_normalized": "forward deployed engineer, infrastructure specialist", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. Note: between 20 - 40% travel anticipated In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. You may be a good fit if: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You have fluent Japanese and business-level English FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Tokyo", "city": "Tokyo", "country": "Japan", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/38f75a48-199c-4325-a7f8-2af6ed6a1b3b", "apply_type": "redirect", "posted_at": "2026-06-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "38f75a48-199c-4325-a7f8-2af6ed6a1b3b" }, { "slug": "scale-ai-director-of-product-management-forward-deployed-strategy-london", "company": "Scale AI", "logo_url": "", "title": "Director of Product Management, Forward Deployed & Strategy", "title_normalized": "director of product management, forward deployed & strategy", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Role Summary Lead a high-stakes team of Product Managers responsible for successful delivery and integration of Scale products into complex customer environments. Own the feedback loop that converts bespoke field wins into scalable, repeatable product strategy, partnering deeply with Sales/GTM and EPD (Eng/Product/Design). Core Responsibilities Hire, mentor, and deploy PMs across strategic accounts (e.g., Fortune 100, government). Identify patterns across deployments; decide which bespoke solutions should move from custom to core product. Primary product partner to Sales/GTM leadership to align roadmap with market demand. Provide strategic + technical oversight to unblock high-priority deployments in “red zones.” Champion the voice of the field within internal EPD teams. Ideal Background 10+ years of product leadership, including 4+ years managing Product Management teams. Experience in forward-deployed models or top-tier technical consulting / implementation. High technical IQ: comfort with APIs, data pipelines, SQL; understands how data quality affects model performance. Extreme ownership + systems thinking; navigates complex stakeholder landscapes from engineers to C-suite. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Enterprise Product", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4702890005", "apply_type": "redirect", "posted_at": "2026-06-19", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "sql" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4702890005" }, { "slug": "palantir-forward-deployed-software-engineer-norwegian-government-oslo", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Norwegian Government", "title_normalized": "forward deployed software engineer - norwegian government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Oslo, Norway", "city": "Oslo", "country": "Norway", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/0a0d2db2-75a5-48e4-b0a0-81baa6588e36/apply", "apply_type": "redirect", "posted_at": "2026-06-15", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "0a0d2db2-75a5-48e4-b0a0-81baa6588e36" }, { "slug": "databricks-sr-forward-deployed-engineer-tokyo", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Req ID: CSQ327R52Location: Tokyo, Japan As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 8+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Fluent in Japanese with a professional working proficiency in English About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Tokyo, Japan", "city": "Tokyo", "country": "Japan", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8568173002", "apply_type": "redirect", "posted_at": "2026-06-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8568173002" }, { "slug": "databricks-sr-forward-deployed-engineer-singapore", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R142 As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces. AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions. Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Singapore", "city": "Singapore", "country": "Singapore", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8534142002", "apply_type": "redirect", "posted_at": "2026-06-09", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "java", "python", "sql", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8534142002" }, { "slug": "databricks-ai-engineer-fde-forward-deployed-engineer-seoul", "company": "Databricks", "logo_url": "", "title": "AI Engineer - FDE (Forward Deployed Engineer)", "title_normalized": "ai engineer - fde (forward deployed engineer)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R171 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: 7+ years of experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets Willing to travel once every 4-8 weeks to see customers (as needed) Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Seoul, South Korea", "city": "Seoul", "country": "South Korea", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8574655002", "apply_type": "redirect", "posted_at": "2026-06-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "langchain", "pytorch", "rag", "spark", "sql" ], "source": "ats-greenhouse:databricks", "source_job_id": "8574655002" }, { "slug": "databricks-senior-forward-deployed-engineer-full-stack-fde-paris", "company": "Databricks", "logo_url": "", "title": "Senior Forward Deployed Engineer - Full stack, FDE", "title_normalized": "senior forward deployed engineer - full stack, fde", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R154 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Paris, France", "city": "Paris", "country": "France", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8556371002", "apply_type": "redirect", "posted_at": "2026-06-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8556371002" }, { "slug": "databricks-sr-forward-deployed-engineer-auckland", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R248 As a Forward Deployed Engineer in our Forward Deployed Engineering team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. FDEs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Forward Deployed Engineering. The impact you will have: You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues What we look for: 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. Comfortable writing code in either Python or Scala. Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20 - 30% of the time Nice to have: Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Sydney, Australia", "city": "Auckland", "country": "New Zealand", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8578144002", "apply_type": "redirect", "posted_at": "2026-06-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "python", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8578144002" }, { "slug": "openai-forward-deployed-security-engineer-washington", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Security Engineer", "title_normalized": "forward deployed security engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a Forward Deployed Security Engineer (FDSecE) you will be responsible for securing these novel applications of OpenAI’s technology. We’re looking for motivated, tenacious, and curious people who will work closely with engineering teams to ensure our infrastructure deployments are highly secure against our adversaries. As an FDSecE, you will embed directly throughout the lifecycle, working on-site and being hands-on to ensure the overall security of these deployments from design to production and through ongoing operations. This role is preferred to be based in Washington DC but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel to and working from customer sites is required for this role. In this role, you will: - Deeply embed with our most strategic public sector customers to implement and maintain robust security controls. - Be a design and technical thought partner by leveraging security expertise on protective controls including access controls, authentication, encryption, network, and system security. - Collaborate closely with teammates, cross-functional teams, customers, and service providers to achieve security and compliance goals. - Ensure continuity of critical security and monitoring controls through routine security assessments, threat monitoring, and security validation exercises. You might thrive in this role if you have: - An active US security clearance. - 5+ years of security engineering experience, with an emphasis on infrastructure security, application security, network security, datacenter security, and systems engineering. - Familiarity with deployment models, including to cloud platforms (Azure, AWS) and the underlying infrastructure primitives (Kubernetes, Terraform) - Proficiency in programming languages such as Python, Golang, or similar. - A proven track record of developing high-quality, scalable, and secure infrastructure. - Experience with security operations including insider threat monitoring, network/endpoint detection and response, or red team or penetration testing operations. - Comprehensive knowledge of modern adversary tactics, techniques, and procedures. - The ability to work collaboratively and effectively in a cross-functional team environment. - Thrive in dynamic environments and can navigate ambiguity with ease. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Washington, DC", "city": "Washington", "country": "United States", "remote_type": "remote", "department": "Security", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/89d61ae8-1ce1-4187-9edd-da8029979e41", "apply_type": "redirect", "posted_at": "2026-05-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "kubernetes", "python" ], "source": "ats-ashby:openai", "source_job_id": "89d61ae8-1ce1-4187-9edd-da8029979e41" }, { "slug": "databricks-sr-forward-deployed-engineer-india", "company": "Databricks", "logo_url": "", "title": "Sr Forward Deployed Engineer", "title_normalized": "sr forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ227R29 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 9+ years of experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - India", "city": "", "country": "India", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8362737002", "apply_type": "redirect", "posted_at": "2026-05-15", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8362737002" }, { "slug": "scale-ai-frontier-agents-engineer-forward-deployed-engineering-new-york", "company": "Scale AI", "logo_url": "", "title": "Frontier Agents Engineer (Forward Deployed Engineering)", "title_normalized": "frontier agents engineer (forward deployed engineering)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Frontier Agent Engineer (Forward Deployed Engineering), you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows. Build robust integrations that allow AI agents to safely interact with customer systems while meeting enterprise requirements for security, governance, and compliance. Rapidly prototype new AI capabilities and evolve successful prototypes into production-ready systems. AI Platform Engineering Build the production infrastructure that enables frontier AI research to become reliable enterprise software. Develop agent runtimes, orchestration frameworks, context pipelines, execution services, and tool integrations that power production AI systems. Engineer systems for reliability, observability, latency, scalability, retries, fallback strategies, and graceful degradation. Design human-in-the-loop workflows that effectively combine AI automation with expert oversight. Build deployment patterns that allow AI systems to evolve safely through continuous delivery and experimentation. Production AI Quality Operationalize modern AI quality systems that ensure production agents remain reliable as models, prompts, and customer data evolve. Deploy evaluation harnesses using offline benchmarks, online experiments, golden datasets, regression suites, and LLM-as-a-Judge to detect quality regressions before they impact customers. Implement tracing, observability, monitoring, guardrails, grounding, and safety mechanisms that enable production AI systems to operate with confidence. Partner closely with Applied AI engineers to productionize new evaluation methodologies, retrieval strategies, reasoning architectures, and emerging AI capabilities. Rapidly evaluate newly released models, agent frameworks, evaluation methodologies, and developer tooling, determining how they can be safely adopted into production systems. Customer Innovation Partner directly with enterprise customers to understand their technical infrastructure, software architecture, and operational workflows. Translate ambiguous customer problems into scalable production AI architectures. Collaborate with customer software engineers, ML engineers, platform teams, and product organizations to deploy AI into mission-critical workflows. Identify reusable engineering patterns that become core capabilities across multiple enterprise deployments. Technical Leadership Serve as the primary technical advisor for strategic enterprise accounts. Lead architecture discussions spanning distributed systems, AI infrastructure, enterprise integration, and production deployment. Document reusable architecture patterns, deployment strategies, integration frameworks, and operational best practices. Work closely with Scale's product, infrastructure, and Applied AI teams to continuously improve the platform. What Makes This Role Different You'll work across the full lifecycle of production AI systems: Architecting enterprise AI systems and agent platforms Building integrations across cloud infrastructure and enterprise software Deploying AI agents into production environments Operationalizing evaluation frameworks, guardrails, and observability Running production experiments and measuring real-world business impact Continuously improving deployed AI systems using customer feedback and operational telemetry You'll work with the latest frontier AI models, evaluation methodologies, agent frameworks, and developer tooling as they emerge, helping customers adopt new AI capabilities safely and effectively. Rather than supporting a single product or platform, you'll solve diverse engineering challenges across industries and use cases, rapidly building expertise across enterprise architecture, AI systems engineering, and production deployment. Required Qualifications 4+ years of software engineering experience with strong fundamentals in distributed systems, data structures, algorithms, and system design. Strong Python programming skills with experience building production software. Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases. Experience with cloud platforms (AWS, Azure, or GCP) and modern production infrastructure. Strong problem-solving skills with the ability to navigate ambiguous technical requirements and rapidly iterate toward production solutions. Excellent communication skills and the ability to work directly with enterprise engineering teams. Preferred Qualifications Enterprise AI Engineering Experience deploying production AI agents or autonomous systems. Experience designing distributed systems, APIs, orchestration services, or large-scale backend systems. Experience with cloud-native infrastructure, Docker, Kubernetes, Infrastructure as Code, and CI/CD. Experience integrating AI systems into enterprise software environments. AI Systems Familiarity with modern agent architectures, retrieval systems, tool use, memory, and context engineering. Experience with evaluation frameworks, LLM observability, regression testing, tracing, and AI monitoring. Experience implementing guardrails, grounding, and safety mechanisms for production AI systems. Experience operationalizing new foundation models, agent frameworks, or AI infrastructure. Customer Engineering Experience working directly with enterprise customers. Ability to translate complex technical requirements into scalable production systems. Strong written and verbal communication skills. Experience leading architecture reviews, technical workshops, or customer design sessions. Dual Fluency While this role initially emphasizes enterprise engineering and production deployment, every Frontier Agent Engineer develops expertise across both Forward Deployed Engineering and Applied AI. Over time, you'll deepen your understanding of modern agent architectures, evaluation methodologies, retrieval systems, reasoning techniques, and emerging AI technologies, while continuing to build world-class production software. Our goal is to develop engineers who can design, build, evaluate, deploy, and continuously improve frontier AI systems ", "location_raw": "San Francisco, CA; New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Enterprise Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4694861005", "apply_type": "redirect", "posted_at": "2026-05-15", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "docker", "gcp", "kubernetes", "llm", "python" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4694861005" }, { "slug": "scale-ai-senior-frontier-agents-engineer-forward-deployed-engineering-new-york", "company": "Scale AI", "logo_url": "", "title": "Senior Frontier Agents Engineer (Forward Deployed Engineering)", "title_normalized": "senior frontier agents engineer (forward deployed engineering)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Senior Frontier Agent Engineer (Forward Deployed Engineering), you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows. Build robust integrations that allow AI agents to safely interact with customer systems while meeting enterprise requirements for security, governance, and compliance. Rapidly prototype new AI capabilities and evolve successful prototypes into production-ready systems. AI Platform Engineering Build the production infrastructure that enables frontier AI research to become reliable enterprise software. Develop agent runtimes, orchestration frameworks, context pipelines, execution services, and tool integrations that power production AI systems. Engineer systems for reliability, observability, latency, scalability, retries, fallback strategies, and graceful degradation. Design human-in-the-loop workflows that effectively combine AI automation with expert oversight. Build deployment patterns that allow AI systems to evolve safely through continuous delivery and experimentation. Production AI Quality Operationalize modern AI quality systems that ensure production agents remain reliable as models, prompts, and customer data evolve. Deploy evaluation harnesses using offline benchmarks, online experiments, golden datasets, regression suites, and LLM-as-a-Judge to detect quality regressions before they impact customers. Implement tracing, observability, monitoring, guardrails, grounding, and safety mechanisms that enable production AI systems to operate with confidence. Partner closely with Applied AI engineers to productionize new evaluation methodologies, retrieval strategies, reasoning architectures, and emerging AI capabilities. Rapidly evaluate newly released models, agent frameworks, evaluation methodologies, and developer tooling, determining how they can be safely adopted into production systems. Customer Innovation Partner directly with enterprise customers to understand their technical infrastructure, software architecture, and operational workflows. Translate ambiguous customer problems into scalable production AI architectures. Collaborate with customer software engineers, ML engineers, platform teams, and product organizations to deploy AI into mission-critical workflows. Identify reusable engineering patterns that become core capabilities across multiple enterprise deployments. Technical Leadership Serve as the primary technical advisor for strategic enterprise accounts. Lead architecture discussions spanning distributed systems, AI infrastructure, enterprise integration, and production deployment. Document reusable architecture patterns, deployment strategies, integration frameworks, and operational best practices. Work closely with Scale's product, infrastructure, and Applied AI teams to continuously improve the platform. What Makes This Role Different You'll work across the full lifecycle of production AI systems: Architecting enterprise AI systems and agent platforms Building integrations across cloud infrastructure and enterprise software Deploying AI agents into production environments Operationalizing evaluation frameworks, guardrails, and observability Running production experiments and measuring real-world business impact Continuously improving deployed AI systems using customer feedback and operational telemetry You'll work with the latest frontier AI models, evaluation methodologies, agent frameworks, and developer tooling as they emerge, helping customers adopt new AI capabilities safely and effectively. Rather than supporting a single product or platform, you'll solve diverse engineering challenges across industries and use cases, rapidly building expertise across enterprise architecture, AI systems engineering, and production deployment. Required Qualifications 5+ years of software engineering experience with strong fundamentals in distributed systems, data structures, algorithms, and system design. Strong Python programming skills with experience building production software. Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases. Experience with cloud platforms (AWS, Azure, or GCP) and modern production infrastructure. Strong problem-solving skills with the ability to navigate ambiguous technical requirements and rapidly iterate toward production solutions. Excellent communication skills and the ability to work directly with enterprise engineering teams. Preferred Qualifications Enterprise AI Engineering Experience deploying production AI agents or autonomous systems. Experience designing distributed systems, APIs, orchestration services, or large-scale backend systems. Experience with cloud-native infrastructure, Docker, Kubernetes, Infrastructure as Code, and CI/CD. Experience integrating AI systems into enterprise software environments. AI Systems Familiarity with modern agent architectures, retrieval systems, tool use, memory, and context engineering. Experience with evaluation frameworks, LLM observability, regression testing, tracing, and AI monitoring. Experience implementing guardrails, grounding, and safety mechanisms for production AI systems. Experience operationalizing new foundation models, agent frameworks, or AI infrastructure. Customer Engineering Experience working directly with enterprise customers. Ability to translate complex technical requirements into scalable production systems. Strong written and verbal communication skills. Experience leading architecture reviews, technical workshops, or customer design sessions. Dual Fluency While this role initially emphasizes enterprise engineering and production deployment, every Frontier Agent Engineer develops expertise across both Forward Deployed Engineering and Applied AI. Over time, you'll deepen your understanding of modern agent architectures, evaluation methodologies, retrieval systems, reasoning techniques, and emerging AI technologies, while continuing to build world-class production software. Our goal is to develop engineers who can design, build, evaluate, deploy, and continuously improve frontier AI s", "location_raw": "San Francisco, CA; New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Enterprise Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4694863005", "apply_type": "redirect", "posted_at": "2026-05-15", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "docker", "gcp", "kubernetes", "llm", "python" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4694863005" }, { "slug": "scale-ai-staff-frontier-agents-engineer-forward-deployed-engineering-new-york", "company": "Scale AI", "logo_url": "", "title": "Staff Frontier Agents Engineer (Forward Deployed Engineering)", "title_normalized": "staff frontier agents engineer (forward deployed engineering)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Staff Frontier Agent Engineer (Forward Deployed Engineering), you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows. Build robust integrations that allow AI agents to safely interact with customer systems while meeting enterprise requirements for security, governance, and compliance. Rapidly prototype new AI capabilities and evolve successful prototypes into production-ready systems. AI Platform Engineering Build the production infrastructure that enables frontier AI research to become reliable enterprise software. Develop agent runtimes, orchestration frameworks, context pipelines, execution services, and tool integrations that power production AI systems. Engineer systems for reliability, observability, latency, scalability, retries, fallback strategies, and graceful degradation. Design human-in-the-loop workflows that effectively combine AI automation with expert oversight. Build deployment patterns that allow AI systems to evolve safely through continuous delivery and experimentation. Production AI Quality Operationalize modern AI quality systems that ensure production agents remain reliable as models, prompts, and customer data evolve. Deploy evaluation harnesses using offline benchmarks, online experiments, golden datasets, regression suites, and LLM-as-a-Judge to detect quality regressions before they impact customers. Implement tracing, observability, monitoring, guardrails, grounding, and safety mechanisms that enable production AI systems to operate with confidence. Partner closely with Applied AI engineers to productionize new evaluation methodologies, retrieval strategies, reasoning architectures, and emerging AI capabilities. Rapidly evaluate newly released models, agent frameworks, evaluation methodologies, and developer tooling, determining how they can be safely adopted into production systems. Customer Innovation Partner directly with enterprise customers to understand their technical infrastructure, software architecture, and operational workflows. Translate ambiguous customer problems into scalable production AI architectures. Collaborate with customer software engineers, ML engineers, platform teams, and product organizations to deploy AI into mission-critical workflows. Identify reusable engineering patterns that become core capabilities across multiple enterprise deployments. Technical Leadership Serve as the primary technical advisor for strategic enterprise accounts. Lead architecture discussions spanning distributed systems, AI infrastructure, enterprise integration, and production deployment. Document reusable architecture patterns, deployment strategies, integration frameworks, and operational best practices. Work closely with Scale's product, infrastructure, and Applied AI teams to continuously improve the platform. What Makes This Role Different You'll work across the full lifecycle of production AI systems: Architecting enterprise AI systems and agent platforms Building integrations across cloud infrastructure and enterprise software Deploying AI agents into production environments Operationalizing evaluation frameworks, guardrails, and observability Running production experiments and measuring real-world business impact Continuously improving deployed AI systems using customer feedback and operational telemetry You'll work with the latest frontier AI models, evaluation methodologies, agent frameworks, and developer tooling as they emerge, helping customers adopt new AI capabilities safely and effectively. Rather than supporting a single product or platform, you'll solve diverse engineering challenges across industries and use cases, rapidly building expertise across enterprise architecture, AI systems engineering, and production deployment. Required Qualifications 8+ years of software engineering experience with strong fundamentals in distributed systems, data structures, algorithms, and system design. Strong Python programming skills with experience building production software. Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases. Experience with cloud platforms (AWS, Azure, or GCP) and modern production infrastructure. Strong problem-solving skills with the ability to navigate ambiguous technical requirements and rapidly iterate toward production solutions. Excellent communication skills and the ability to work directly with enterprise engineering teams. Preferred Qualifications Enterprise AI Engineering Experience deploying production AI agents or autonomous systems. Experience designing distributed systems, APIs, orchestration services, or large-scale backend systems. Experience with cloud-native infrastructure, Docker, Kubernetes, Infrastructure as Code, and CI/CD. Experience integrating AI systems into enterprise software environments. AI Systems Familiarity with modern agent architectures, retrieval systems, tool use, memory, and context engineering. Experience with evaluation frameworks, LLM observability, regression testing, tracing, and AI monitoring. Experience implementing guardrails, grounding, and safety mechanisms for production AI systems. Experience operationalizing new foundation models, agent frameworks, or AI infrastructure. Customer Engineering Experience working directly with enterprise customers. Ability to translate complex technical requirements into scalable production systems. Strong written and verbal communication skills. Experience leading architecture reviews, technical workshops, or customer design sessions. Dual Fluency While this role initially emphasizes enterprise engineering and production deployment, every Frontier Agent Engineer develops expertise across both Forward Deployed Engineering and Applied AI. Over time, you'll deepen your understanding of modern agent architectures, evaluation methodologies, retrieval systems, reasoning techniques, and emerging AI technologies, while continuing to build world-class production software. Our goal is to develop engineers who can design, build, evaluate, deploy, and continuously improve frontier AI sy", "location_raw": "San Francisco, CA; New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Enterprise Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4694865005", "apply_type": "redirect", "posted_at": "2026-05-15", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "docker", "gcp", "kubernetes", "llm", "python" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4694865005" }, { "slug": "databricks-ai-engineer-fde-forward-deployed-engineer-united-states", "company": "Databricks", "logo_url": "", "title": "AI Engineer - FDE (Forward Deployed Engineer)", "title_normalized": "ai engineer - fde (forward deployed engineer)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) CSQ327R177 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations. This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets Willing to travel once every 4-8 weeks to see customers (as needed) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range$152,900—$210,155 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "United States", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8546367002", "apply_type": "redirect", "posted_at": "2026-05-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "langchain", "llm", "pytorch", "rag", "spark", "sql" ], "source": "ats-greenhouse:databricks", "source_job_id": "8546367002" }, { "slug": "databricks-forward-deployed-engineer-seoul", "company": "Databricks", "logo_url": "", "title": "Forward Deployed Engineer", "title_normalized": "forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ427R142 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. This position will report to Director, FDE in Korea. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 7+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Seoul, South Korea", "city": "Seoul", "country": "South Korea", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8540455002", "apply_type": "redirect", "posted_at": "2026-05-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8540455002" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-uk-europe-remote", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Agentic Platform (UK/Europe)", "title_normalized": "forward deployed engineer, agentic platform (uk/europe)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Europe", "city": "", "country": "", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/2d256112-b336-4539-8133-a0bf7f6698f0", "apply_type": "redirect", "posted_at": "2026-05-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "llm", "python", "rag", "react" ], "source": "ats-ashby:cohere", "source_job_id": "2d256112-b336-4539-8133-a0bf7f6698f0" }, { "slug": "palantir-forward-deployed-software-engineer-us-government-federal-health-and-civilian-new-york", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - US Government - Federal Health and Civilian", "title_normalized": "forward deployed software engineer - us government - federal health and civilian", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir powers mission-critical work across federal health and civilian agencies - from improving patient care and accelerating public health responses, to helping farmers access services, modernizing tax record reviews, and improving aviation safety. Forward Deployed Software Engineers (FDSEs) work directly with customers to rapidly understand their hardest problems and build solutions against them. Projects often start with an open-ended question: \"How do we respond to a foodborne illness outbreak faster?\" or \"Where is our medical supply chain failing patients?\" Your job is to show up and solve them. In Federal Health/Civil, your responsibilities look like those of a startup CTO. You'll own end-to-end execution of high-stakes projects within small, high-ownership teams, spanning the full stack of execution: whiteboarding architecture with engineers, building data pipelines and operational workflows, deploying AI agents, advising customer executives, and driving strategy with your team - sometimes all in the same day. Whether you want to be an entrepreneur or an engineering leader, Palantir is built to get you there. You'll learn to unpack ambiguous problems and reason carefully about the cost and consequence of solutions. You'll work autonomously, make consequential decisions, and build with some of the country's most important institutions - with colleagues who will support and challenge you along the way.", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/be4ab5cb-9caa-4c2a-97b9-c73805fca4fc/apply", "apply_type": "redirect", "posted_at": "2026-05-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents" ], "source": "ats-lever:palantir", "source_job_id": "be4ab5cb-9caa-4c2a-97b9-c73805fca4fc" }, { "slug": "palantir-forward-deployed-software-engineer-us-government-federal-health-and-civilian-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - US Government - Federal Health and Civilian", "title_normalized": "forward deployed software engineer - us government - federal health and civilian", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir powers mission-critical work across federal health and civilian agencies - from improving patient care and accelerating public health responses, to helping farmers access services, modernizing tax record reviews, and improving aviation safety. Forward Deployed Software Engineers (FDSEs) work directly with customers to rapidly understand their hardest problems and build solutions against them. Projects often start with an open-ended question: \"How do we respond to a foodborne illness outbreak faster?\" or \"Where is our medical supply chain failing patients?\" Your job is to show up and solve them. In Federal Health/Civil, your responsibilities look like those of a startup CTO. You'll own end-to-end execution of high-stakes projects within small, high-ownership teams, spanning the full stack of execution: whiteboarding architecture with engineers, building data pipelines and operational workflows, deploying AI agents, advising customer executives, and driving strategy with your team - sometimes all in the same day. Whether you want to be an entrepreneur or an engineering leader, Palantir is built to get you there. You'll learn to unpack ambiguous problems and reason carefully about the cost and consequence of solutions. You'll work autonomously, make consequential decisions, and build with some of the country's most important institutions - with colleagues who will support and challenge you along the way.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/e7100322-be11-40c8-9dba-7a21b7302c08/apply", "apply_type": "redirect", "posted_at": "2026-05-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents" ], "source": "ats-lever:palantir", "source_job_id": "e7100322-be11-40c8-9dba-7a21b7302c08" }, { "slug": "scale-ai-director-forward-deployed-engineering-london", "company": "Scale AI", "logo_url": "", "title": "Director, Forward Deployed Engineering", "title_normalized": "director, forward deployed engineering", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Director, Forward Deployed Engineering At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes. We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time. This is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap. You Will Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption. Lead and grow the team. Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity. Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement. Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last. Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level. Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready. Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities. Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high. Ideally You’d Have 10+ years of software engineering or technical delivery experience, including 3+ years leading high-performing customer-facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar). A solid engineering background. You've led high-pressure technical projects from prototype to production, and you're still comfortable whiteboarding system architectures, reviewing code, and debugging production issues alongside your team. Proven ability to scale a delivery team. You've built hiring bars, onboarding programs, and operating standards for technical organizations, and you've interviewed and hired at volume for senior engineering roles. Hands-on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. Experience deploying AI into complex enterprise environments, including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements. A track record of turning field work into product leverage. You've codified repeatable patterns from customer engagements into tools, libraries, or platform features that scaled across the next wave of deployments. Strong cross-functional leadership. You've aligned Sales, Product, Engineering, Research, and Customer Success around shared goals and delivered outcomes that required all of them to row in the same direction. Founder mindset. High autonomy, high motivation, high ownership. Comfortable operating with ambiguity, bias toward action, and the judgment to know when to ship and when to raise the bar. Exceptional communication. You can translate technical tradeoffs into decisions for executive and non-technical audiences, and model the customer empathy you expect from your team.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Enterprise Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4690504005", "apply_type": "redirect", "posted_at": "2026-05-06", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "docker", "gcp", "kubernetes", "python", "typescript" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4690504005" }, { "slug": "palantir-forward-deployed-infrastructure-engineer-us-government-honolulu", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Infrastructure Engineer - US Government", "title_normalized": "forward deployed infrastructure engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and owning reliability and operations for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with both forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.", "location_raw": "Honolulu, HI", "city": "Honolulu", "country": "", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/0fccbe95-2520-4df3-8600-7897656c06a2/apply", "apply_type": "redirect", "posted_at": "2026-05-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm" ], "source": "ats-lever:palantir", "source_job_id": "0fccbe95-2520-4df3-8600-7897656c06a2" }, { "slug": "palantir-forward-deployed-reliability-engineer-london", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Reliability Engineer", "title_normalized": "forward deployed reliability engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure the stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call — resolving problems before the customer is impacted — and use those learnings to drive product change, shape our internal tooling, and refine our operational processes so that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you’ll rapidly address issues as they arise with quick and effective solutions, and advocate for workflow or product improvements once the immediate issue is resolved. You are energised by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don’t just fix issues — you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesises learnings from support into best practices for others to follow. These are captured in documentation and shared with the team and the wider organisation. In this way, you raise the bar for reliability and efficiency across Palantir.", "location_raw": "London, United Kingdom", "city": "London", "country": "United Kingdom", "remote_type": "hybrid", "department": "Product Development", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/5a99fe16-1bda-4313-ace2-a11ea6e58f0c/apply", "apply_type": "redirect", "posted_at": "2026-04-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "5a99fe16-1bda-4313-ace2-a11ea6e58f0c" }, { "slug": "databricks-sr-forward-deployed-engineer-sydney", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer", "title_normalized": "sr. forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R141 As a Resident Solutions Architect in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Professional Services. The impact you will have: You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues What we look for: 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. Comfortable writing code in either Python or Scala. Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20 - 30% of the time Nice to have: Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Western Australia, Australia", "city": "Sydney", "country": "Australia", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8514430002", "apply_type": "redirect", "posted_at": "2026-04-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "python", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8514430002" }, { "slug": "openai-forward-deployed-engineer-singapore-singapore", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer - Singapore", "title_normalized": "forward deployed engineer - singapore", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production. - Build full-stack systems that deliver customer value and sharpen how we learn. - Embed closely with customer teams, understand their needs, and guide adoption of what you build. - Scope work, sequence delivery, and remove blockers early. - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. - Contribute directly in the code when progress or clarity depends on it. - Codify working patterns into tools, playbooks, or building blocks that others can use. - Share field feedback that helps Research and Product understand where the models succeed and where they can improve. - Keep teams moving through clarity and follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. - Have scoped and delivered complex systems in fast-moving or ambiguous environments. - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. - Simplify complexity and make fast, sound decisions under pressure. - Communicate clearly with engineers, product teams, and customer stakeholders. - Spot risks early and adjust without slowing down. - Model calm and judgment when the stakes are high. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Singapore", "city": "Singapore", "country": "Singapore", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/4c078f82-93b9-427c-8fd8-95de198884b4", "apply_type": "redirect", "posted_at": "2026-04-21", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "python" ], "source": "ats-ashby:openai", "source_job_id": "4c078f82-93b9-427c-8fd8-95de198884b4" }, { "slug": "databricks-manager-forward-deployed-engineering-karnataka", "company": "Databricks", "logo_url": "", "title": "Manager, Forward Deployed Engineering", "title_normalized": "manager, forward deployed engineering", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "CSQ227R28 As a Manager (Forward Deployed Engineering), you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their Databricks journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in Bengaluru.The impact you will have: Hire great people and provide technical guidance, career development, and mentoring to team members Participate in key technical and design discussions with technical leads in the team as a hands-on manager Experience leading the development of IP, reusable tooling, and assets for field professional services teams and partners Partner with key business stakeholders to prioritise work and create amazing products to support our data platform. Manage a team of technical data engineers to achieve customer, company, and team goals Acts as the first point of escalation for customers when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues. Provide input to grow and improve internal processes and customer success service offerings. Effectively builds and leverages customer relationships throughout the sales and delivery process. What we look for: 12+ years of industry experience 6+ years of successful experience in a customer facing role 4+ years of experience leading a technical team of Data Engineers / Architects Extensive experience in Big Data ecosystem (Spark, Hadoop ecosystem, Cassandra etc) Knowledge of AWS / Azure / GCP Knowledge of Databricks ecosystem is a plus Proven documentation skills, along with strong project management experience. Strong abilities manage multiple engagements, while delivering extremely high levels of customer satisfaction. Excellent people skills to partner with various key business stakeholders. Conversant with business issues our customers face today and likely big data use cases in different industries Experience estimating effort and scope for services Benefits : Private medical insurance Accident coverage Employee's Provident Fund Equity awards Paid parental leave Gym reimbursement Annual personal development fund Work headphones reimbursement Business travel insurance About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - India", "city": "Karnataka", "country": "India", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8503068002", "apply_type": "redirect", "posted_at": "2026-04-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8503068002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-digital-native-business-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Digital Native Business", "title_normalized": "sr. forward deployed engineer (fde) - digital native business", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years of experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Mountain View, California; San Francisco, California", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8488399002", "apply_type": "redirect", "posted_at": "2026-04-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8488399002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-8", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Philadelphia, Pennsylvania", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494153002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494153002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-healthcare-life-sciences-united-states-2", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences", "title_normalized": "sr. forward deployed engineer (fde) - healthcare & life sciences", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Philadelphia, Pennsylvania", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494148002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494148002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-healthcare-life-sciences-united-states-3", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences", "title_normalized": "sr. forward deployed engineer (fde) - healthcare & life sciences", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Atlanta, Georgia", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494146002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494146002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-healthcare-life-sciences-united-states-4", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences", "title_normalized": "sr. forward deployed engineer (fde) - healthcare & life sciences", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Austin, Texas", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494145002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494145002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-healthcare-life-sciences-united-states-5", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences", "title_normalized": "sr. forward deployed engineer (fde) - healthcare & life sciences", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Dallas, Texas", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494144002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494144002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-healthcare-life-sciences-united-states-6", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences", "title_normalized": "sr. forward deployed engineer (fde) - healthcare & life sciences", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Chicago, Illinois", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494143002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494143002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-healthcare-life-sciences-united-states-7", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences", "title_normalized": "sr. forward deployed engineer (fde) - healthcare & life sciences", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Boston, Massachusetts", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494142002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494142002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-manufacturing-united-states-2", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Manufacturing", "title_normalized": "sr. forward deployed engineer (fde) - manufacturing", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Boston, Massachusetts", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494154002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494154002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-manufacturing-united-states-3", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Manufacturing", "title_normalized": "sr. forward deployed engineer (fde) - manufacturing", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Seattle, Washington", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494156002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494156002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-manufacturing-united-states-4", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Manufacturing", "title_normalized": "sr. forward deployed engineer (fde) - manufacturing", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Philadelphia, Pennsylvania", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8494155002", "apply_type": "redirect", "posted_at": "2026-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8494155002" }, { "slug": "databricks-forward-deployed-engineer-india", "company": "Databricks", "logo_url": "", "title": "Forward Deployed Engineer", "title_normalized": "forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ227R36 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their Data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning Data Engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines data engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom data applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading Big Data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years of experience in data engineering, data platforms & analytics, (additional software engineering experience is a nice-to-have) Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - India", "city": "", "country": "India", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8432827002", "apply_type": "redirect", "posted_at": "2026-03-31", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8432827002" }, { "slug": "openai-applied-ai-engineer-tokyo-tokyo", "company": "OpenAI", "logo_url": "", "title": "Applied AI Engineer - Tokyo", "title_normalized": "applied ai engineer - tokyo", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "ABOUT THE TEAM OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. ABOUT THE ROLE As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. YOU’LL THRIVE IN THIS ROLE IF YOU: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. - Are able to speak Japanese and English fluently. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Tokyo, Japan", "city": "Tokyo", "country": "Japan", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/4762783e-61e1-4d36-af1d-8dee3c5f70e2", "apply_type": "redirect", "posted_at": "2026-03-25", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "python", "typescript" ], "source": "ats-ashby:openai", "source_job_id": "4762783e-61e1-4d36-af1d-8dee3c5f70e2" }, { "slug": "scale-ai-senior-full-stack-software-engineer-forward-deployed-gps-qatar", "company": "Scale AI", "logo_url": "", "title": "Senior Full-Stack Software Engineer, (Forward Deployed), GPS", "title_normalized": "senior full-stack software engineer, (forward deployed), gps", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health. Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions. A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software. Driven async communication methodologies to reduce communication frictions Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape Nice to haves: Proficient in Arabic Past experience working in a forward deployed engineer / dedicated customer engineer role Experience working cross functionally with operations PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "Doha, Qatar ", "city": "", "country": "Qatar", "remote_type": "onsite", "department": "GPS Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4676606005", "apply_type": "redirect", "posted_at": "2026-03-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "docker", "gcp", "kubernetes", "python", "react", "typescript" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4676606005" }, { "slug": "scale-ai-senior-full-stack-software-engineer-forward-deployed-gps-london", "company": "Scale AI", "logo_url": "", "title": "Senior Full-Stack Software Engineer, (Forward Deployed), GPS", "title_normalized": "senior full-stack software engineer, (forward deployed), gps", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health. Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions. A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software. Driven async communication methodologies to reduce communication frictions. Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape. Nice to haves: Past experience working in a forward deployed engineer / dedicated customer engineer role Experience working cross functionally with operations PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "GPS Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4673310005", "apply_type": "redirect", "posted_at": "2026-03-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "docker", "gcp", "kubernetes", "python", "react", "typescript" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4673310005" }, { "slug": "scale-ai-staff-full-stack-software-engineer-forward-deployed-gps-london", "company": "Scale AI", "logo_url": "", "title": "Staff Full-Stack Software Engineer, (Forward Deployed), GPS", "title_normalized": "staff full-stack software engineer, (forward deployed), gps", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation. Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems. 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability. Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments. Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems. A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization. A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction. Nice to haves: Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role. Experience working cross functionally with operations. Proficient in Arabic. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "GPS Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4676610005", "apply_type": "redirect", "posted_at": "2026-03-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "gcp", "kubernetes", "llm", "python", "react" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4676610005" }, { "slug": "scale-ai-staff-fullstack-software-engineer-forward-deployed-gps-qatar", "company": "Scale AI", "logo_url": "", "title": "Staff FullStack Software Engineer, (Forward Deployed), GPS", "title_normalized": "staff fullstack software engineer, (forward deployed), gps", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems. 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability. Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments. Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems. A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization. A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction. Nice to haves: Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role Experience working cross functionally with operations Proficient in Arabic For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "Doha, Qatar ", "city": "", "country": "Qatar", "remote_type": "onsite", "department": "GPS Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4673314005", "apply_type": "redirect", "posted_at": "2026-03-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "gcp", "kubernetes", "llm", "python", "react" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4673314005" }, { "slug": "databricks-forward-deployed-engineer-amsterdam", "company": "Databricks", "logo_url": "", "title": "Forward Deployed Engineer", "title_normalized": "forward deployed engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R45 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Amsterdam, Netherlands", "city": "Amsterdam", "country": "Netherlands", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8462016002", "apply_type": "redirect", "posted_at": "2026-03-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8462016002" }, { "slug": "scale-ai-forward-deployed-product-manager-enterprise-new-york", "company": "Scale AI", "logo_url": "", "title": "Forward Deployed Product Manager, Enterprise", "title_normalized": "forward deployed product manager, enterprise", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "Role Summary Scale is accelerating the development of AI across the world's most important organizations. The Forward Deployed PM is the person who makes enterprise deployments succeed from the product side — embedded with customers, shaping real production outcomes, and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. The FDPM owns product outcomes inside a portfolio of enterprise accounts: earning deep trust with senior customer stakeholders, driving deployments to production, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to the platform team. The best FDPMs have shipped products into large organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do Own product outcomes for our highest impact enterprise accounts. You are the accountable PM for product delivery and customer value. Build trusted advisory relationships with VP/C-level buyers and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally. Drive deployments from contract to production. You have done this before for large organizations. You know what 'production-ready' actually means and you close the gap. Translate real customer workflows, friction, and priorities into high-signal product input for core platform teams. Not requirements docs — specific, evidence-backed product perspective with tradeoffs articulated. Distinguish where the product is the constraint from where execution, integration, or change management is. Drive each type of blocker to resolution through the right channel. Partner closely with FDEs so the account runs as a coordinated team, not a set of parallel workstreams. Identify and develop expansion opportunities grounded in demonstrated customer value Represent customer reality to platform and leadership with enough credibility that it changes decisions. What We're Looking For Core Competencies Enterprise deployment ownership: has driven AI/ML or complex software products from contract to production at scale, with real integration, real security constraints, real change management. Product judgment in the field: translates customer reality into product direction, not just feature requests; can say no credibly and explain why. Customer trust-building: earns and maintains trust with demanding senior stakeholders over multi-quarter engagements; manages conflict without eroding the relationship. Technical translation: bridges the gap between customer engineering teams and Scale platform engineers; does not relay messages, adds interpretation. Operating in ambiguity: creates structure where there is none; makes decisions with incomplete information; does not wait for fully defined requirements. Clear, precise communication: adjusts for audience (exec vs. engineer vs. PM); writes and speaks at the right level of detail; does not over-explain or under-explain. Must-Have Qualifications 6+ years in product management, technical program management, or a customer-facing product ownership role. Demonstrated record of shipping products or platform capabilities into large organizations — not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like. Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments. Comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously; credible presence in high-stakes rooms on both sides. Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash. Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs — not deep coding, but genuine comprehension of how systems work in production. Preferred Qualifications Direct experience with AI/ML platform products — data labeling, RLHF, fine-tuning workflows, or model evaluation pipelines. Experience in a startup or early-stage environment where process didn't exist and had to be created. Prior forward-deployed or embedded role (consulting, field PM, solutions engineering with ownership). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$240,000—$300,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Enterprise Product", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4673051005", "apply_type": "redirect", "posted_at": "2026-03-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-greenhouse:scaleai", "source_job_id": "4673051005" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Seattle, Washington", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461193002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461193002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-2", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "San Francisco, California", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461163002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461163002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-3", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "New York City, New York", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461226002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461226002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-4", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Denver, Colorado", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461243002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461243002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-5", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Los Angeles, California", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461168002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461168002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-6", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: 6+ years experience in data engineering, data platforms & analytics Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Atlanta, Georgia", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461239002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461239002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-7", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Washington, D.C.", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461241002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461241002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-9", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Mountain View, California", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461251002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461251002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-10", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Boston, Massachusetts", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461222002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461222002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-11", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Chicago, Illinois", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461220002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461220002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-12", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: 6+ years experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Austin, Texas", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461219002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461219002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-13", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Raleigh, North Carolina", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461258002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461258002" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-communications-media-entertainment-games-united-states-14", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games", "title_normalized": "sr. forward deployed engineer (fde) - communications, media, entertainment & games", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Dallas, Texas", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8461218002", "apply_type": "redirect", "posted_at": "2026-03-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8461218002" }, { "slug": "palantir-forward-deployed-security-engineer-us-government-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Security Engineer - US Government", "title_normalized": "forward deployed security engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Our team members are subject matter experts in both cybersecurity and US Government policy. We’re excited about generating creative solutions to ambiguous security requirements. Our mission is deploying software in support of our customers' most critical needs as quickly as possible while upholding the government's trust. We achieve this through close consultation with stakeholders and direct ownership of the Authorization to Operate (ATO) process. As a Forward Deployed Security Engineer, you support a variety of projects which draw from your wide spectrum of technical experience. You are resourceful, collaborative, and take initiative to improve our processes over time. Most importantly, you are passionate about taking on new challenges and finding innovative ways to support critical missions.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Business Development", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/22053072-4c22-49c4-8299-28e107ceeb98/apply", "apply_type": "redirect", "posted_at": "2026-03-09", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "22053072-4c22-49c4-8299-28e107ceeb98" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-healthcare-life-sciences-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences", "title_normalized": "sr. forward deployed engineer (fde) - healthcare & life sciences", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R310 Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role. As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "New York City, New York", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8371312002", "apply_type": "redirect", "posted_at": "2026-03-06", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8371312002" }, { "slug": "openai-forward-deployed-software-engineer-seattle-seattle", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Software Engineer - Seattle", "title_normalized": "forward deployed software engineer - seattle", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. - Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback - Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if you: - 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Experience with relational databases like Postgres/MySQL - Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Seattle", "city": "Seattle", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/7b90b83c-ec28-4e65-a235-6675e37b91c3", "apply_type": "redirect", "posted_at": "2026-03-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "7b90b83c-ec28-4e65-a235-6675e37b91c3" }, { "slug": "openai-forward-deployed-engineer-fde-seattle-seattle", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer (FDE) - Seattle", "title_normalized": "forward deployed engineer (fde) - seattle", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Seattle", "city": "Seattle", "country": "United States", "remote_type": "onsite", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/dc17edac-2993-4318-812a-14864c6f4658", "apply_type": "redirect", "posted_at": "2026-03-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "python" ], "source": "ats-ashby:openai", "source_job_id": "dc17edac-2993-4318-812a-14864c6f4658" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-remote", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Agentic Platform", "title_normalized": "forward deployed engineer, agentic platform", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems We are open to candidates currently based in the Middle East or who are open to travelling or relocating. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Middle East", "city": "", "country": "", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/75c0032c-7200-48bf-9d6d-355880dd93d9", "apply_type": "redirect", "posted_at": "2026-03-04", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "llm", "python", "rag", "react" ], "source": "ats-ashby:cohere", "source_job_id": "75c0032c-7200-48bf-9d6d-355880dd93d9" }, { "slug": "databricks-manager-forward-deployed-engineering-sydney", "company": "Databricks", "logo_url": "", "title": "Manager, Forward Deployed Engineering", "title_normalized": "manager, forward deployed engineering", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "CSQ327R50 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering for NSW, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ FDE portfolio Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA & AI Engineering practice Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth What we look for: 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Sydney, Australia", "city": "Sydney", "country": "Australia", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8445817002", "apply_type": "redirect", "posted_at": "2026-03-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "mlflow", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8445817002" }, { "slug": "palantir-forward-deployed-software-engineer-tactical-edge-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Tactical Edge", "title_normalized": "forward deployed software engineer - tactical edge", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE on the Tactical Edge, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. You’ll apply your problem solving ability, creativity, and technical skills to deploy and manage Palantir software across a variety of hardware form factors, ranging in size, location, and accessibility. Your day might span debugging infrastructure/networking/application issues, discussing architecture with fellow engineers, collaborating with developers to improve the Palantir product offering, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/3d0d9d92-0321-4459-a17d-fa1a76636a43/apply", "apply_type": "redirect", "posted_at": "2026-03-02", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "3d0d9d92-0321-4459-a17d-fa1a76636a43" }, { "slug": "databricks-forward-deployed-engineer-emerging-enterprise-dnb-london", "company": "Databricks", "logo_url": "", "title": "Forward Deployed Engineer - Emerging Enterprise & DNB", "title_normalized": "forward deployed engineer - emerging enterprise & dnb", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ327R39 As a Forward Deployed Engineer (FDE) for the Emerging Enterprise & Digital Natives business in EMEA. you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with Emerging Enterprise & Digital Natives businesses, and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "London, United Kingdom", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8439047002", "apply_type": "redirect", "posted_at": "2026-02-26", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8439047002" }, { "slug": "databricks-senior-manager-forward-deployed-engineering-full-stack-x-2-new-roles-paris", "company": "Databricks", "logo_url": "", "title": "Senior Manager, Forward Deployed Engineering (Full Stack) x 2 New roles", "title_normalized": "senior manager, forward deployed engineering (full stack) x 2 new roles", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "Req ID: CSQ327R55 2 x New roles Location: Remote - France Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE & AI Engineering practice Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution Develop and retain exceptional technical talent: mentor Forward Deployed Engineers and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth What we look for: People leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations with a proven track record of building excellence-driven cultures Hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across all industry sectors Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Paris, France", "city": "Paris", "country": "France", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8439078002", "apply_type": "redirect", "posted_at": "2026-02-26", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "mlflow", "spark" ], "source": "ats-greenhouse:databricks", "source_job_id": "8439078002" }, { "slug": "palantir-forward-deployed-reliability-engineer-new-york", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Reliability Engineer", "title_normalized": "forward deployed reliability engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call — resolving problems before the customer is impacted — and use those learnings to drive product change, shape our internal tooling, and refine our operational processes such that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you’ll rapidly address issues as they arise with quick and effective solutions and advocate for workflow or product improvements after the immediate issue is resolved. You are energized by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don’t just fix issues— you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesizes learnings from support into best practices for others to follow. These are captured into documentation and shared with the team and broader organization. In this way, you raise the bar for reliability and efficiency across Palantir.", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "hybrid", "department": "Product Development", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/689e6869-01bc-40f1-b580-adb33a020065/apply", "apply_type": "redirect", "posted_at": "2026-02-10", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "689e6869-01bc-40f1-b580-adb33a020065" }, { "slug": "anthropic-manager-forward-deployed-engineering-san-francisco", "company": "Anthropic", "logo_url": "", "title": "Manager, Forward Deployed Engineering", "title_normalized": "manager, forward deployed engineering", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$320,000—$405,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understa", "location_raw": "New York City, NY", "city": "San Francisco", "country": "United States", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5099753008", "apply_type": "redirect", "posted_at": "2026-02-05", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-greenhouse:anthropic", "source_job_id": "5099753008" }, { "slug": "databricks-senior-forward-deployed-engineering-architect-united-kingdom", "company": "Databricks", "logo_url": "", "title": "Senior Forward Deployed Engineering - Architect", "title_normalized": "senior forward deployed engineering - architect", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "REQ ID: FEQ127R254 Location: Hybrid – London As a Senior Forward Deployed Engineering - Architect you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification preferred but not essential About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "London, United Kingdom", "city": "", "country": "United Kingdom", "remote_type": "onsite", "department": "Field Engineering - BIF", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8396801002", "apply_type": "redirect", "posted_at": "2026-01-30", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8396801002" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-korea-korea", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Agentic Platform (Korea)", "title_normalized": "forward deployed engineer, agentic platform (korea)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for senior software engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. WHAT YOU’LL DO Customer-Facing Technical Impact - Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies. - Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows. - Travel up to 20–40% to work on-site with customers and partners Agent Design, Build and Production launches - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance. - Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions. - Define and apply evaluation and quality standards to measure success, failures, and regressions; Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails. - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Team Mentorship & Organizational Impact - Mentor engineers across distributed teams. - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization. - Contribute to shared frameworks and patterns that enable consistent delivery across customers. REQUIRED SKILLS & EXPERIENCE Technical Foundations - Demonstrated ability to build, ship, and operate production-grade software systems. - Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications. - Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling. - Strong proficiency in Python and/or JavaScript/TypeScript. Experience and Leadership - Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs. - Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems. ADDITIONAL REQUIREMENTS - Strong written and verbal communication skills. - Fluency in English and Korean language. IT’S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Korea", "city": "Korea", "country": "South Korea", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/031c2335-db85-4265-8a88-a54b911be36a", "apply_type": "redirect", "posted_at": "2026-01-28", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "llm", "prompt engineering", "python", "rag", "react", "typescript" ], "source": "ats-ashby:cohere", "source_job_id": "031c2335-db85-4265-8a88-a54b911be36a" }, { "slug": "scale-ai-forward-deployed-product-manager-enterprise-london", "company": "Scale AI", "logo_url": "", "title": "Forward Deployed Product Manager, Enterprise", "title_normalized": "forward deployed product manager, enterprise", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-manager", "description_text": "Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI for their business. We develop bespoke solutions that leverage our customer’s proprietary data and expertise to transform their businesses with AI. We work with them to understand the biggest levers for their business and then forward deploy with their teams to build cutting edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy cutting edge agents. Some examples of GenAI applications we build are: Content-generation systems that enable sales teams to be more effective and efficient. Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately. Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making. We are seeking an experienced product manager to join our team and play a pivotal role in building AI solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers. You will: Develop enterprise grade solutions that leverage cutting edge AI to drive business value at world class companies across many industries. Work with executives at Scale and our customers to determine and execute the product strategy of the business. Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches. Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance. Develop a point of view and execute on turning the solutions we build into repeatable software that we can commercialize across the industry. Ideally you’d have: Technical degree in computer science, engineering, or equivalent experience 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus Strong understanding of generative AI technologies and their applications in enterprise settings Experience operating in a fast-paced environment with high ambiguity Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams Some coding experience (Python) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "London, UK", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Enterprise Product", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4644742005", "apply_type": "redirect", "posted_at": "2026-01-19", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "python", "sql" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4644742005" }, { "slug": "palantir-forward-deployed-software-engineer-autonomous-systems-c2-seattle", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Autonomous Systems C2", "title_normalized": "forward deployed software engineer - autonomous systems c2", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Forward Deployed Software Engineer to join a newly-formed team focused on developing advanced Command and Control (C2) Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art, full-stack solutions that combine sensors, effectors, UxVs, and intelligent decision-making systems to enable users to effectively execute and manage a variety of mission profiles that employ autonomous systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to build and deliver solutions that redefine complex military and civilian mission scenarios in the real world.", "location_raw": "Seattle, WA", "city": "Seattle", "country": "United States", "remote_type": "hybrid", "department": "Product Development", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/0edf7365-49f0-4263-818a-19409ec4f430/apply", "apply_type": "redirect", "posted_at": "2026-01-16", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "0edf7365-49f0-4263-818a-19409ec4f430" }, { "slug": "palantir-forward-deployed-software-engineer-autonomous-systems-c2-palo-alto", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Autonomous Systems C2", "title_normalized": "forward deployed software engineer - autonomous systems c2", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Forward Deployed Software Engineer to join a newly-formed team focused on developing advanced Command and Control (C2) Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art, full-stack solutions that combine sensors, effectors, UxVs, and intelligent decision-making systems to enable users to effectively execute and manage a variety of mission profiles that employ autonomous systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to build and deliver solutions that redefine complex military and civilian mission scenarios in the real world.", "location_raw": "Palo Alto, CA", "city": "Palo Alto", "country": "United States", "remote_type": "hybrid", "department": "Product Development", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/c62264f5-5da8-40fe-9b44-f7f0f0012e11/apply", "apply_type": "redirect", "posted_at": "2026-01-16", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "c62264f5-5da8-40fe-9b44-f7f0f0012e11" }, { "slug": "cohere-forward-deployed-engineer-agentic-platform-singapore-singapore", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Agentic Platform (Singapore)", "title_normalized": "forward deployed engineer, agentic platform (singapore)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated. IN THIS ROLE, YOU WILL: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting IT'S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "Singapore", "city": "Singapore", "country": "Singapore", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/9c18b199-cd1f-4ef3-9fab-ce05589348ae", "apply_type": "redirect", "posted_at": "2026-01-15", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "llm", "python", "rag", "react" ], "source": "ats-ashby:cohere", "source_job_id": "9c18b199-cd1f-4ef3-9fab-ce05589348ae" }, { "slug": "palantir-forward-deployed-software-engineer-us-government-fayetteville", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - US Government", "title_normalized": "forward deployed software engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) understand our customers’ greatest pain points and design end-to-end solutions to address them. FDSEs solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. FDSEs deploy ground breaking technical solutions to solve our customers’ hardest problems. Projects often start with a nebulous question like “Why are we losing customers?” or “How can we more effectively identify instances of money laundering?” FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you leverage everything around you: Palantir products, open source technologies, and anything you and your team can build to drive real impact. You work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. We help our customers detect insider trading, improve disaster relief, fight healthcare fraud, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Fayetteville, NC", "city": "Fayetteville", "country": "United States", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/d83fac1c-353e-4b77-a586-3276b1090b6e/apply", "apply_type": "redirect", "posted_at": "2026-01-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "d83fac1c-353e-4b77-a586-3276b1090b6e" }, { "slug": "anthropic-applied-ai-engineer-enterprise-tech-boston", "company": "Anthropic", "logo_url": "", "title": "Applied AI Engineer, Enterprise Tech", "title_normalized": "applied ai engineer, enterprise tech", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role:As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities: Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives and Applied AI Architects to translate customer business requirements into technical solutions Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create scalable public and internal assets documenting the latest LLM prompting, eval, agentic, and architecture techniques Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Travel occasionally to customer sites for workshops, implementation support, and building relationships Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have: 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers. Former technical founders are also encouraged to apply. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Strong programming skills with proficiency in Python or TypeScript and experience building production applications Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$200,000—$320,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "location_raw": "San Francisco, CA | New York City, NY | Seattle, WA", "city": "Boston", "country": "United States", "remote_type": "onsite", "department": "Applied AI", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/anthropic/jobs/5057647008", "apply_type": "redirect", "posted_at": "2026-01-08", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm", "prompt engineering", "python", "typescript" ], "source": "ats-greenhouse:anthropic", "source_job_id": "5057647008" }, { "slug": "openai-applied-ai-engineer-seoul", "company": "OpenAI", "logo_url": "", "title": "Applied AI Engineer", "title_normalized": "applied ai engineer", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Seoul, South Korea. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Seoul, South Korea", "city": "Seoul", "country": "South Korea", "remote_type": "remote", "department": "Go To Market", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/04435c05-7a05-4802-894d-c173327fbac8", "apply_type": "redirect", "posted_at": "2026-01-06", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "go", "python", "typescript" ], "source": "ats-ashby:openai", "source_job_id": "04435c05-7a05-4802-894d-c173327fbac8" }, { "slug": "databricks-sr-forward-deployed-engineer-fde-manufacturing-united-states", "company": "Databricks", "logo_url": "", "title": "Sr. Forward Deployed Engineer (FDE) - Manufacturing", "title_normalized": "sr. forward deployed engineer (fde) - manufacturing", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range$182,000—$250,208 USDZone 2 Pay Range$182,000—$250,208 USDZone 3 Pay Range$182,000—$250,208 USDZone 4 Pay Range$182,000—$250,208 USDAbout Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "New York City, New York", "city": "", "country": "United States", "remote_type": "onsite", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8341313002", "apply_type": "redirect", "posted_at": "2025-12-17", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "python", "spark", "typescript" ], "source": "ats-greenhouse:databricks", "source_job_id": "8341313002" }, { "slug": "openai-forward-deployed-software-engineer-nyc-new-york", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Software Engineer - NYC", "title_normalized": "forward deployed software engineer - nyc", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. - Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback - Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if you: - 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Experience with relational databases like Postgres/MySQL - Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "New York City", "city": "New York", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/533c0fc9-b773-476d-9f96-a0528efbab0e", "apply_type": "redirect", "posted_at": "2025-12-10", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "533c0fc9-b773-476d-9f96-a0528efbab0e" }, { "slug": "cohere-forward-deployed-engineer-infrastructure-specialist-europe-united-kingdom", "company": "Cohere", "logo_url": "", "title": "Forward Deployed Engineer, Infrastructure Specialist (Europe)", "title_normalized": "forward deployed engineer, infrastructure specialist (europe)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target IT'S A BONUS IF YOU HAVE… - Familiarity with GPU node orchestration & scheduling - You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.", "location_raw": "United Kingdom", "city": "", "country": "United Kingdom", "remote_type": "remote", "department": "Engineering & Infra", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/cohere/69a9ab2e-a7eb-4c4f-825a-5c25cf063900", "apply_type": "redirect", "posted_at": "2025-12-10", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "kubernetes" ], "source": "ats-ashby:cohere", "source_job_id": "69a9ab2e-a7eb-4c4f-825a-5c25cf063900" }, { "slug": "openai-forward-deployed-software-engineer-sf-san-francisco", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Software Engineer - SF", "title_normalized": "forward deployed software engineer - sf", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. - Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback - Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if you: - 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Experience with relational databases like Postgres/MySQL - Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "San Francisco", "city": "San Francisco", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/00207abc-49b7-465c-a219-f7c1140f8047", "apply_type": "redirect", "posted_at": "2025-11-15", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-ashby:openai", "source_job_id": "00207abc-49b7-465c-a219-f7c1140f8047" }, { "slug": "palantir-forward-deployed-enablement-engineer-customer-success-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Enablement Engineer - Customer Success", "title_normalized": "forward deployed enablement engineer - customer success", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Enablement Engineers are embedded with centralized customer success teams to maximize the outcomes of our deployed products and workflows across all commercial customers from small-scale start-ups to large enterprises. This role balances high-level support responsibilities with the development of innovative tooling and infrastructure to scale customer enablement effectively. You are a resourceful, gritty and adaptable problem solver who is able to work both collaboratively and independently to resolve difficult and nebulous technical issues, as well as work productively with external customers to debug and resolve their problems. Palantir’s Customer Success team helps our customers build on Palantir’s Foundry & AIP Platforms to drive the workflows that power their most important business outcomes. In this role, you’ll leverage your problem-solving abilities, creativity, and technical skills to support and guide customer development teams, ensuring they can effectively build and optimize their workflows. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Every day at Palantir is different: we’re constantly evolving to better respond to customer needs, and you will have the opportunity to contribute your creativity and problem-solving to internal processes and tools that define how we deliver business value to the customer with increasing efficacy and efficiency. Every Palantirian is encouraged to play to their personal strengths, so there is no “one size fits all” approach to engineering at Palantir. The scope of this role is intentionally broad so that people can find their strengths and grow in a way that excites them.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/a90eb029-19cc-413c-bd51-b8411053d7d4/apply", "apply_type": "redirect", "posted_at": "2025-10-16", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "a90eb029-19cc-413c-bd51-b8411053d7d4" }, { "slug": "palantir-forward-deployed-software-engineer-edge-autonomous-systems-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Edge Autonomous Systems", "title_normalized": "forward deployed software engineer - edge autonomous systems", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Forward Deployed Software Engineer to join a newly-formed team focused on developing advanced autonomous systems for use on the edge and in austere environments for military and commercial uses. This role involves building, integrating, and deploying state-of-the-art solutions that combine sensors, actuators, unmanned systems, and intelligent decision-making systems to provide remote and autonomous control of individual and swarms of systems. As a part of this team, you will contribute directly to the development and deployment of autonomous systems that integrate sensors (IMU, autopilot, cameras, radars, RF, and other modalities) with continuous and real-time response actuation, path planning, and other kinetic and non-kinetic systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to build and deliver solutions that redefine complex real world scenarios.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "hybrid", "department": "Product Development", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/27bf5707-96fa-460e-8a5b-53bc192ca87b/apply", "apply_type": "redirect", "posted_at": "2025-10-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "27bf5707-96fa-460e-8a5b-53bc192ca87b" }, { "slug": "openai-forward-deployed-engineer-tokyo-tokyo", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer - Tokyo", "title_normalized": "forward deployed engineer - tokyo", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is expected in this role, mainly within Japan. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Tokyo, Japan", "city": "Tokyo", "country": "Japan", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/51b17595-3a70-43be-a333-3a3952303284", "apply_type": "redirect", "posted_at": "2025-09-16", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "python" ], "source": "ats-ashby:openai", "source_job_id": "51b17595-3a70-43be-a333-3a3952303284" }, { "slug": "openai-forward-deployed-engineer-gov-washington", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer, Gov", "title_normalized": "forward deployed engineer, gov", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will - Own technical delivery across multiple government deployments, from first prototype to stable production. - Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. - Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. - Proactively guide customers on maximizing business and operational value from their applications. - Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. - Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality. - Contribute directly in the code when clarity or momentum depends on it. - Codify working patterns into tools, playbooks, or building blocks others can use. - Share field feedback with Research and Product to influence model and product development. - Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. - Active TS/SCI clearance or equivalent - Have scoped and delivered complex systems in fast-moving or ambiguous contexts. - Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. - Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. - Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. - Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. - Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. - Are humble, collaborative, and eager to help others with empathy. - Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "Washington, DC", "city": "Washington", "country": "United States", "remote_type": "remote", "department": "OpenAI for Gov", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/db5a708d-1d7a-4aa3-8dd3-0d0423b6b69f", "apply_type": "redirect", "posted_at": "2025-09-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "kubernetes", "python" ], "source": "ats-ashby:openai", "source_job_id": "db5a708d-1d7a-4aa3-8dd3-0d0423b6b69f" }, { "slug": "palantir-forward-deployed-infrastructure-engineer-uk-government-london", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Infrastructure Engineer - UK Government", "title_normalized": "forward deployed infrastructure engineer - uk government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and owning reliability and operations for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with both forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.", "location_raw": "London, United Kingdom", "city": "London", "country": "United Kingdom", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/72e51928-07f0-4be0-aae5-0ae6956a4846/apply", "apply_type": "redirect", "posted_at": "2025-08-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm" ], "source": "ats-lever:palantir", "source_job_id": "72e51928-07f0-4be0-aae5-0ae6956a4846" }, { "slug": "openai-forward-deployed-engineer-fde-sf-san-francisco", "company": "OpenAI", "logo_url": "", "title": "Forward Deployed Engineer (FDE) - SF", "title_normalized": "forward deployed engineer (fde) - sf", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "location_raw": "San Francisco", "city": "San Francisco", "country": "United States", "remote_type": "remote", "department": "Forward Deployed Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.ashbyhq.com/openai/305a4b22-7ff9-4fa5-9229-c6a22c9aa64f", "apply_type": "redirect", "posted_at": "2025-08-06", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "python" ], "source": "ats-ashby:openai", "source_job_id": "305a4b22-7ff9-4fa5-9229-c6a22c9aa64f" }, { "slug": "scale-ai-forward-deployed-engineer-genai-san-francisco", "company": "Scale AI", "logo_url": "", "title": "Forward Deployed Engineer, GenAI", "title_normalized": "forward deployed engineer, genai", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 2 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400—$224,250 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "San Francisco, CA; New York, NY", "city": "San Francisco", "country": "United States", "remote_type": "onsite", "department": "Gen AI Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4593571005", "apply_type": "redirect", "posted_at": "2025-08-05", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-greenhouse:scaleai", "source_job_id": "4593571005" }, { "slug": "databricks-ai-engineer-fde-forward-deployed-engineer-bengaluru", "company": "Databricks", "logo_url": "", "title": "AI Engineer - FDE (Forward Deployed Engineer)", "title_normalized": "ai engineer - fde (forward deployed engineer)", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "CSQ326R35 AI Engineer - FDE (Forward Deployed Engineer) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets Willing to travel once every 4-8 weeks to see customers (as needed) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "location_raw": "Remote - India", "city": "Bengaluru", "country": "India", "remote_type": "remote", "department": "Professional Services Operations", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8099751002", "apply_type": "redirect", "posted_at": "2025-07-31", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "gcp", "langchain", "pytorch", "rag", "spark", "sql" ], "source": "ats-greenhouse:databricks", "source_job_id": "8099751002" }, { "slug": "palantir-forward-deployed-software-engineer-us-government-san-diego", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - US Government", "title_normalized": "forward deployed software engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) understand our customers’ greatest pain points and design end-to-end solutions to address them. FDSEs solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. FDSEs deploy ground breaking technical solutions to solve our customers’ hardest problems. Projects often start with a nebulous question like “Why are we losing customers?” or “How can we more effectively identify instances of money laundering?” FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you leverage everything around you: Palantir products, open source technologies, and anything you and your team can build to drive real impact. You work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. We help our customers detect insider trading, improve disaster relief, fight healthcare fraud, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "San Diego, CA", "city": "San Diego", "country": "United States", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/84131e3f-455e-47fc-9c11-898d95f09048/apply", "apply_type": "redirect", "posted_at": "2025-07-29", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "84131e3f-455e-47fc-9c11-898d95f09048" }, { "slug": "palantir-forward-deployed-site-reliability-engineer-us-government-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Site Reliability Engineer - US Government", "title_normalized": "forward deployed site reliability engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, primarily across on-prem environments for the US Government. Forward Deployed Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You’ll travel to various locations where you will be the expert for Palantir’s infrastructure, helping partner teams build & configure their hardware and network for software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "hybrid", "department": "Business Development", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/a194220b-684a-4b4e-b918-1f70154b464c/apply", "apply_type": "redirect", "posted_at": "2025-05-29", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "a194220b-684a-4b4e-b918-1f70154b464c" }, { "slug": "scale-ai-forward-deployed-engineer-gen-ai-india-gate", "company": "Scale AI", "logo_url": "", "title": "Forward Deployed Engineer, Gen AI", "title_normalized": "forward deployed engineer, gen ai", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 4 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "India", "city": "India Gate", "country": "India", "remote_type": "onsite", "department": "Gen AI Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4549048005", "apply_type": "redirect", "posted_at": "2025-04-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-greenhouse:scaleai", "source_job_id": "4549048005" }, { "slug": "palantir-forward-deployed-software-engineer-japan-government-tokyo", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Japan Government", "title_normalized": "forward deployed software engineer - japan government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Tokyo, Japan", "city": "Tokyo", "country": "Japan", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/12e94938-55cb-4ad9-9c05-405ebc9ef430/apply", "apply_type": "redirect", "posted_at": "2025-03-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "12e94938-55cb-4ad9-9c05-405ebc9ef430" }, { "slug": "palantir-forward-deployed-engineer-mixed-reality-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Engineer - Mixed Reality", "title_normalized": "forward deployed engineer - mixed reality", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By connecting the right data to the people who need it, our platforms empower our partners to revitalize American industrial production, develop lifesaving drugs, protect our Warfighters, and more. The Role Palantir's Mixed Reality Group (MRG) is a Tier 1 team of researchers, 3D artists, immersive UX designers, and cross-discipline engineers to bring the most exquisite software of our time to the factory floor, the battlefield, and the briefing room. You will collaborate with customers, operators, MR designers, and MR developers to deliver force-multiplying apps that exceed tomorrow’s requirements today. The Original Forward Deployed Software Engineer At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities As an MR FDSE, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects, including: • Hands-on work with cutting edge Mixed Reality hardware. Deploying builds, configuring devices, building and testing new integrations • Troubleshoot issues at all layers of the system, from physical to application • Architect, develop, debug, document, and deploy performant Mixed Reality applications • Collaborating with fellow engineers on architecture and design decisions • Wrangling massive-scale data and using AI to accelerate and enhance critical operations • Developing custom applications tailored to customer needs • Engaging directly with customer stakeholders, from technical teams to executives • Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Product Development", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/96a0ce26-cf84-4fa8-934b-acc4363620b2/apply", "apply_type": "redirect", "posted_at": "2025-02-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "96a0ce26-cf84-4fa8-934b-acc4363620b2" }, { "slug": "palantir-forward-deployed-software-engineer-warp-speed-new-york", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Warp Speed", "title_normalized": "forward deployed software engineer - warp speed", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Warp Speed Warp Speed builds on years of excellence in manufacturing to resurrect & revitalize the American Industrial Base. FDSEs on Warp Speed work directly with customers from the factory floor to the board room to understand their greatest problems and design and implement solutions using data. As Forward Deployed Software Engineers (FDSEs) you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! The Original Forward Deployed Software Engineer At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities As an FDSE, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects, including: • Collaborating with fellow engineers on architecture and design decisions • Wrangling massive-scale data and using AI to accelerate and enhance critical operations • Developing custom applications tailored to customer needs • Engaging directly with customer stakeholders, from technical teams to executives • Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/13f99633-43b5-4459-8e84-25073f257c18/apply", "apply_type": "redirect", "posted_at": "2025-02-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "13f99633-43b5-4459-8e84-25073f257c18" }, { "slug": "scale-ai-field-engineer-data-engine-washington", "company": "Scale AI", "logo_url": "", "title": "Field Engineer, Data Engine", "title_normalized": "field engineer, data engine", "is_fde": true, "fde_confidence": 0.85, "fde_variant": "fde-desc", "description_text": "Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: Be open to >50% onsite work in a secured space. Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents. Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back. Deploy and maintain Scale software at customer sites. Develop customer requested features and work closely with them to ensure that they win customer love. Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance. Ideally you have: Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. Prior experience developing with Python Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Linux experience: Understanding of shell scripting, operating systems, etc Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus. Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "Colorado Springs, CO; Omaha, NE; St. Louis, MO; Washington, DC", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Public Sector Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4518690005", "apply_type": "redirect", "posted_at": "2025-01-19", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "agents", "aws", "azure", "docker", "gcp", "kubernetes", "python" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4518690005" }, { "slug": "palantir-forward-deployed-enablement-engineer-customer-success-new-york", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Enablement Engineer - Customer Success", "title_normalized": "forward deployed enablement engineer - customer success", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Enablement Engineers are embedded with centralized customer success teams to maximize the outcomes of our deployed products and workflows across all commercial customers from small-scale start-ups to large enterprises. This role balances high-level support responsibilities with the development of innovative tooling and infrastructure to scale customer enablement effectively. You are a resourceful, gritty and adaptable problem solver who is able to work both collaboratively and independently to resolve difficult and nebulous technical issues, as well as work productively with external customers to debug and resolve their problems. Palantir’s Customer Success team helps our customers build on Palantir’s Foundry & AIP Platforms to drive the workflows that power their most important business outcomes. In this role, you’ll leverage your problem-solving abilities, creativity, and technical skills to support and guide customer development teams, ensuring they can effectively build and optimize their workflows. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Every day at Palantir is different: we’re constantly evolving to better respond to customer needs, and you will have the opportunity to contribute your creativity and problem-solving to internal processes and tools that define how we deliver business value to the customer with increasing efficacy and efficiency. Every Palantirian is encouraged to play to their personal strengths, so there is no “one size fits all” approach to engineering at Palantir. The scope of this role is intentionally broad so that people can find their strengths and grow in a way that excites them.", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/4cba9c95-d16f-440d-83e7-2352480f689f/apply", "apply_type": "redirect", "posted_at": "2024-11-13", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "4cba9c95-d16f-440d-83e7-2352480f689f" }, { "slug": "palantir-forward-deployed-enablement-engineer-customer-success-london", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Enablement Engineer - Customer Success", "title_normalized": "forward deployed enablement engineer - customer success", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Enablement Engineers are embedded with centralised customer success teams to maximise the outcomes of our deployed products and workflows across all commercial customers from small-scale start-ups to large enterprises. This role balances high-level support responsibilities with the development of innovative tooling and infrastructure to scale customer enablement effectively. You are a resourceful, gritty and adaptable problem solver who is able to work both collaboratively and independently to resolve difficult and nebulous technical issues, as well as work productively with external customers to debug and resolve their problems. Palantir’s Customer Success team helps our customers build on Palantir’s Foundry & AIP Platforms to drive the workflows that power their most important business outcomes. In this role, you’ll leverage your problem-solving abilities, creativity, and technical skills to support and guide customer development teams, ensuring they can effectively build and optimise their workflows. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Every day at Palantir is different: we’re constantly evolving to better respond to customer needs, and you will have the opportunity to contribute your creativity and problem-solving to internal processes and tools that define how we deliver business value to the customer with increasing efficacy and efficiency. Every Palantirian is encouraged to play to their personal strengths, so there is no “one size fits all” approach to engineering at Palantir. The scope of this role is intentionally broad so that people can find their strengths and grow in a way that excites them.", "location_raw": "London, United Kingdom", "city": "London", "country": "United Kingdom", "remote_type": "hybrid", "department": "Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/00c2c97b-8514-4617-9883-e53e486b6dcd/apply", "apply_type": "redirect", "posted_at": "2024-11-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "00c2c97b-8514-4617-9883-e53e486b6dcd" }, { "slug": "scale-ai-forward-deployed-software-engineer-public-sector-washington", "company": "Scale AI", "logo_url": "", "title": "Forward Deployed Software Engineer, Public Sector", "title_normalized": "forward deployed software engineer, public sector", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "At Scale, we build the AI systems behind some of the country's most important decisions. On the Public Sector Engineering team, you'll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions. This is a hybrid customer-facing engineering role. You'll sit with the people whose problems you're solving, own delivery from first prototype to production, and ship software that customers adopt and rely on in the field. Model performance matters, timelines are urgent, and ambiguity is the norm. Your work directly shapes what Scale's platform can do for the public sector. What you'll do Embed with government customers to understand their mission, scope the problem, and turn it into working software. Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production. Build robust backend systems and data integrations that connect customer environments to Scale's platform and back. Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse. Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact. What we're looking for Required 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts. Strong production coding in Python and TypeScript (or comparable modern languages). Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals. Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure. An active TS/SCI clearance, or eligibility to obtain one. Bonus Experience building or deploying systems powered by LLMs or generative models. Familiarity with Node and React, Kubernetes and Docker, and Terraform. Data engineering background covering ETL pipelines, data modeling, and data governance. Location and travel This role requires significant time on-site with customers. Expect 25% travel with up to 50% travel as necessary, and/or relocation to Washington DC or St. Louis.Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$292,560 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$263,304 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$219,420 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.", "location_raw": "Austin, TX; Colorado Springs, CO; Honolulu, HI; St. Louis, MO; Washington, DC", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Public Sector Engineering", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://job-boards.greenhouse.io/scaleai/jobs/4481921005", "apply_type": "redirect", "posted_at": "2024-10-09", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "aws", "azure", "docker", "gcp", "kubernetes", "python", "react", "typescript" ], "source": "ats-greenhouse:scaleai", "source_job_id": "4481921005" }, { "slug": "palantir-forward-deployed-software-engineer-japan-forward-deployed-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Japan Forward Deployed", "title_normalized": "forward deployed software engineer - japan forward deployed", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "NOTE: Although this position is in support of our US Government work, this role is located in Tokyo, Japan. A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) understand our customers’ greatest pain points and design end-to-end solutions to address them. FDSEs solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. FDSEs deploy ground breaking technical solutions to solve our customers’ hardest problems. Projects often start with a nebulous question like “Why are we losing customers?” or “How can we more effectively identify instances of money laundering?” FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you leverage everything around you: Palantir products, open source technologies, and anything you and your team can build to drive real impact. You work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. We help our customers detect insider trading, improve disaster relief, fight healthcare fraud, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/8aba5995-653d-4805-96e8-24488e6abf37/apply", "apply_type": "redirect", "posted_at": "2024-10-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "8aba5995-653d-4805-96e8-24488e6abf37" }, { "slug": "palantir-forward-deployed-software-engineer-korea-forward-deployed-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Korea Forward Deployed", "title_normalized": "forward deployed software engineer - korea forward deployed", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "NOTE: Although this position is in support of our US Government work, this role is located in Seoul, South Korea. A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) understand our customers’ greatest pain points and design end-to-end solutions to address them. FDSEs solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. FDSEs deploy ground breaking technical solutions to solve our customers’ hardest problems. Projects often start with a nebulous question like “Why are we losing customers?” or “How can we more effectively identify instances of money laundering?” FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you leverage everything around you: Palantir products, open source technologies, and anything you and your team can build to drive real impact. You work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. We help our customers detect insider trading, improve disaster relief, fight healthcare fraud, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/a39bf84c-6648-4871-bd07-9b882d401c4c/apply", "apply_type": "redirect", "posted_at": "2024-10-03", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "a39bf84c-6648-4871-bd07-9b882d401c4c" }, { "slug": "palantir-forward-deployed-software-engineer-aus-government-sydney", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - AUS Government", "title_normalized": "forward deployed software engineer - aus government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Sydney, Australia", "city": "Sydney", "country": "Australia", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/909875b4-1940-41bd-b08d-a269c7235100/apply", "apply_type": "redirect", "posted_at": "2024-09-05", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "909875b4-1940-41bd-b08d-a269c7235100" }, { "slug": "palantir-forward-deployed-ai-engineer-london", "company": "Palantir", "logo_url": "", "title": "Forward Deployed AI Engineer", "title_normalized": "forward deployed ai engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Core Responsibilities Forward Deployed AI Engineers’ responsibilities look similar to those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organisations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place — with the best colleagues — to learn how!", "location_raw": "London, United Kingdom", "city": "London", "country": "United Kingdom", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/ff1029bd-bb6d-4d78-a03e-5f9744d0b798/apply", "apply_type": "redirect", "posted_at": "2024-05-09", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm" ], "source": "ats-lever:palantir", "source_job_id": "ff1029bd-bb6d-4d78-a03e-5f9744d0b798" }, { "slug": "palantir-forward-deployed-software-engineer-dubai", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Dubai, United Arab Emirates", "city": "Dubai", "country": "UAE", "remote_type": "hybrid", "department": "Delta", "employment_type": "Fixed-Term", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/8148182c-6127-4689-b615-7815a94173bb/apply", "apply_type": "redirect", "posted_at": "2024-05-01", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "8148182c-6127-4689-b615-7815a94173bb" }, { "slug": "palantir-forward-deployed-ai-engineer-new-york", "company": "Palantir", "logo_url": "", "title": "Forward Deployed AI Engineer", "title_normalized": "forward deployed ai engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Core Responsibilities Forward Deployed AI Engineers’ responsibilities look similar to those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place — with the best colleagues — to learn how!", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/636fc05c-d348-4a06-be51-597cb9e07488/apply", "apply_type": "redirect", "posted_at": "2024-03-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm" ], "source": "ats-lever:palantir", "source_job_id": "636fc05c-d348-4a06-be51-597cb9e07488" }, { "slug": "palantir-forward-deployed-infrastructure-engineer-us-government-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Infrastructure Engineer - US Government", "title_normalized": "forward deployed infrastructure engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and owning reliability and operations for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with both forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/74748e0e-a0bc-4c53-a636-ef14e36d9b5e/apply", "apply_type": "redirect", "posted_at": "2023-09-14", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm" ], "source": "ats-lever:palantir", "source_job_id": "74748e0e-a0bc-4c53-a636-ef14e36d9b5e" }, { "slug": "palantir-forward-deployed-infrastructure-engineer-us-government-new-york", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Infrastructure Engineer - US Government", "title_normalized": "forward deployed infrastructure engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and owning reliability and operations for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with both forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/b57f08e9-546c-4b9b-8d21-db0ebbc11363/apply", "apply_type": "redirect", "posted_at": "2023-09-14", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm" ], "source": "ats-lever:palantir", "source_job_id": "b57f08e9-546c-4b9b-8d21-db0ebbc11363" }, { "slug": "palantir-forward-deployed-software-engineer-uk-government-london", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - UK Government", "title_normalized": "forward deployed software engineer - uk government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) understand our customers’ greatest pain points and design end-to-end solutions to address them. FDSEs solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. FDSEs deploy ground breaking technical solutions to solve our customers’ hardest problems. Projects often start with a nebulous question like “Why are we losing customers?” or “How can we more effectively identify instances of money laundering?” FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you leverage everything around you: Palantir products, open source technologies, and anything you and your team can build to drive real impact. You work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. We help our customers detect insider trading, improve disaster relief, fight healthcare fraud, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers. Core Responsibilities FDSEs responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Do you aspire to be an entrepreneur or an engineering leader? If yes, we believe Palantir is the best place — with the best colleagues — to learn how!", "location_raw": "London, United Kingdom", "city": "London", "country": "United Kingdom", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/57a3f928-e7d3-4037-8196-b38e2f867152/apply", "apply_type": "redirect", "posted_at": "2023-01-11", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "57a3f928-e7d3-4037-8196-b38e2f867152" }, { "slug": "palantir-forward-deployed-software-engineer-abu-dhabi", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Abu Dhabi, United Arab Emirates", "city": "Abu Dhabi", "country": "UAE", "remote_type": "hybrid", "department": "Delta", "employment_type": "Fixed-Term", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/90aa8748-3fef-4e2b-9ea9-c4dc5f37f0d2/apply", "apply_type": "redirect", "posted_at": "2022-10-05", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "90aa8748-3fef-4e2b-9ea9-c4dc5f37f0d2" }, { "slug": "palantir-forward-deployed-software-engineer-seoul", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities • Collaborating with fellow engineers on architecture and design decisions • Wrangling massive-scale data and using AI to accelerate and enhance critical operations • Developing custom applications tailored to customer needs • Engaging directly with customer stakeholders, from technical teams to executives • Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value", "location_raw": "Seoul, South Korea", "city": "Seoul", "country": "South Korea", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/1bb19522-3936-4adc-9ced-c3df8b5900b9/apply", "apply_type": "redirect", "posted_at": "2022-04-22", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "1bb19522-3936-4adc-9ced-c3df8b5900b9" }, { "slug": "palantir-forward-deployed-software-engineer-us-government-honolulu", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - US Government", "title_normalized": "forward deployed software engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) understand our customers’ greatest pain points and design end-to-end solutions to address them. FDSEs solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. FDSEs deploy ground breaking technical solutions to solve our customers’ hardest problems. Projects often start with a nebulous question like “Why are we losing customers?” or “How can we more effectively identify instances of money laundering?” FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you leverage everything around you: Palantir products, open source technologies, and anything you and your team can build to drive real impact. You work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. We help our customers detect insider trading, improve disaster relief, fight healthcare fraud, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Honolulu, HI", "city": "Honolulu", "country": "", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/ce8ca664-60dc-4f9a-8986-3c96673bcfdf/apply", "apply_type": "redirect", "posted_at": "2022-04-07", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "ce8ca664-60dc-4f9a-8986-3c96673bcfdf" }, { "slug": "palantir-forward-deployed-software-engineer-vilnius", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Engineers (FDEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Vilnius, Lithuania", "city": "Vilnius", "country": "", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/98b81271-9e15-40b7-8dce-0c62f24702f9/apply", "apply_type": "redirect", "posted_at": "2022-01-26", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "98b81271-9e15-40b7-8dce-0c62f24702f9" }, { "slug": "palantir-forward-deployed-software-engineer-stockholm", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Stockholm, Sweden", "city": "Stockholm", "country": "Sweden", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/d084b769-6f53-4409-afa8-c183b059b384/apply", "apply_type": "redirect", "posted_at": "2021-10-19", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "d084b769-6f53-4409-afa8-c183b059b384" }, { "slug": "palantir-forward-deployed-software-engineer-intel-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - Intel", "title_normalized": "forward deployed software engineer - intel", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. In this role, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. FDSEs deploy ground breaking technical solutions to solve our customers’ hardest problems. Projects often start with an open-ended question like “How can our technology push the envelope on data protection capabilities that enable collaboration on the most sensitive data while meeting all compliance requirements?” FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you make use of everything around you: Palantir products, open source technologies, and anything you and your team can build to create real impact. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop. Core Responsibilities You work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. We help our customers protect vulnerable populations, deter future violence, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/34b3a697-6e22-4751-befd-0b7921abbd5f/apply", "apply_type": "redirect", "posted_at": "2021-10-18", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "34b3a697-6e22-4751-befd-0b7921abbd5f" }, { "slug": "palantir-forward-deployed-software-engineer-munich", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Munich, Germany", "city": "Munich", "country": "Germany", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/a8eb96f4-e39b-4c0f-b42e-610165b88f34/apply", "apply_type": "redirect", "posted_at": "2021-02-12", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "a8eb96f4-e39b-4c0f-b42e-610165b88f34" }, { "slug": "palantir-forward-deployed-software-engineer-us-government-new-york", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - US Government", "title_normalized": "forward deployed software engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) understand our customers’ greatest pain points and design end-to-end solutions to address them. FDSEs solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles. FDSEs deploy ground breaking technical solutions to solve our customers’ hardest problems. Projects often start with a nebulous question like “Why are we losing customers?” or “How can we more effectively identify instances of money laundering?” FDSEs lead the way in developing a solution, from high-level system design and prototyping to application development and data integration. As an FDSE, you leverage everything around you: Palantir products, open source technologies, and anything you and your team can build to drive real impact. You work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. We help our customers detect insider trading, improve disaster relief, fight healthcare fraud, and more. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/e82b696e-a085-4bbf-8bcb-6d2c4f8cf2f7/apply", "apply_type": "redirect", "posted_at": "2020-06-02", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "e82b696e-a085-4bbf-8bcb-6d2c4f8cf2f7" }, { "slug": "palantir-forward-deployed-software-engineer-us-government-washington", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer - US Government", "title_normalized": "forward deployed software engineer - us government", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Washington, D.C.", "city": "Washington", "country": "United States", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/289ad049-7b4e-41e3-8a39-146fbeb6fb64/apply", "apply_type": "redirect", "posted_at": "2020-04-15", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "289ad049-7b4e-41e3-8a39-146fbeb6fb64" }, { "slug": "palantir-forward-deployed-software-engineer-amsterdam", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Amsterdam, Netherlands", "city": "Amsterdam", "country": "Netherlands", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/492a16bb-6b9f-457e-82c3-294e1a2c565d/apply", "apply_type": "redirect", "posted_at": "2018-04-24", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "492a16bb-6b9f-457e-82c3-294e1a2c565d" }, { "slug": "palantir-forward-deployed-software-engineer-new-york", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Original Forward Deployed Software Engineer At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head-on. As an FDSE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life-saving aid on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities As an FDSE, you’ll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. Your contributions will have a direct impact on our customers’ missions and the real world. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects, including: • Collaborating with fellow engineers on architecture and design decisions • Wrangling massive-scale data and using AI to accelerate and enhance critical operations • Developing custom applications tailored to customer needs • Engaging directly with customer stakeholders, from technical teams to executives • Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value", "location_raw": "New York, NY", "city": "New York", "country": "United States", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/dab396d4-2f14-4796-aac0-0d82883dccf0/apply", "apply_type": "redirect", "posted_at": "2014-01-23", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "dab396d4-2f14-4796-aac0-0d82883dccf0" }, { "slug": "palantir-forward-deployed-software-engineer-tel-aviv", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.", "location_raw": "Tel Aviv, Israel", "city": "Tel Aviv", "country": "Israel", "remote_type": "onsite", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/c4442730-2926-41ad-8c0e-5e5a6b4d14ae/apply", "apply_type": "redirect", "posted_at": "2012-12-20", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [], "source": "ats-lever:palantir", "source_job_id": "c4442730-2926-41ad-8c0e-5e5a6b4d14ae" }, { "slug": "palantir-forward-deployed-software-engineer-london", "company": "Palantir", "logo_url": "", "title": "Forward Deployed Software Engineer", "title_normalized": "forward deployed software engineer", "is_fde": true, "fde_confidence": 0.95, "fde_variant": "fde", "description_text": "A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Forward Deployed Engineer Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with data at a scale that breaks assumptions and demands invention Build custom applications, LLM workflows, and production solutions engineered for a specific customer's reality Own relationships with stakeholders from the users in the weeds to the executives making the calls", "location_raw": "London, United Kingdom", "city": "London", "country": "United Kingdom", "remote_type": "hybrid", "department": "Delta", "employment_type": "Full-time", "salary_min": null, "salary_max": null, "salary_currency": "", "salary_period": "", "valid_through": null, "apply_url": "https://jobs.lever.co/palantir/5168e8fd-fec1-4fea-b7a1-81bdaea65850/apply", "apply_type": "redirect", "posted_at": "2009-12-05", "first_seen": "2026-09-10", "last_seen": "2026-09-10", "skills": [ "llm" ], "source": "ats-lever:palantir", "source_job_id": "5168e8fd-fec1-4fea-b7a1-81bdaea65850" } ]