Manager, Forward Deployed Engineer (FDE), Life Sciences
포워드 디플로이드 엔지니어정규직시니어 · 8년 이상
OpenAI에서 생명과학 분야의 Forward Deployed Engineer(FDE) 팀을 이끌 관리자를 모집합니다. 8년 이상의 엔지니어링 경력과 2년 이상의 관리 경험이 필수이며, 규제 환경에서 AI 시스템을 배포한 경험이 중요합니다. 플레이어-코치로서 팀을 성장시키고 기술적 방향을 제시하며, 제약 및 바이오 분야의 복잡한 문제를 해결하는 역할을 수행합니다.
OpenAI’s Forward Deployed Engineering (FDE) team partners with global pharma and biotech, CROs, and research institutions to deploy production-grade AI systems across the R&D value chain. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.
As a Life Sciences FDE Manager, you’ll lead a team of FDEs delivering production AI systems across drug discovery and development workflows. You’ll own delivery outcomes and team leverage while staying hands-on as a player-coach. This includes building and shipping alongside the team, setting technical direction, and maintaining a high bar for production-grade systems in regulated environments.
We measure success through the health and quality of your FDE team, production adoption and measurable workflow impact, the quality of eval-driven feedback delivered back to Product and Research, and the repeatability of deployment patterns across life sciences customers.
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. This role will require travel up to 25%.
Lead and grow a team of FDEs delivering production AI systems across regulated life sciences environments
Be accountable for your team’s end-to-end delivery outcomes, balancing scope, speed, robustness, and risk in high-stakes deployments
Coach and develop engineers through direct feedback, high technical standards, and clear expectations for execution and ownership
Operate as a player-coach, directly contributing to production systems while leading, coaching, and setting technical direction
Guide teams through ambiguous, multi-workstream engagements spanning data, workflows, infrastructure, security, and scientific stakeholders
Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks, then convert results into crisp roadmap input
Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing customer-facing or systems-oriented engineering teams
Have led complex, high-pressure technical programs from prototype through sustained production use in regulated environments
Have experience working in or adjacent to life sciences R&D, clinical research, scientific software, or regulated scientific data environments
Write and review production-grade code and can guide architectural decisions across backend, data, and ML-adjacent systems
Translate scientific and technical tradeoffs into clear delivery plans, risk posture, and measurable outcomes across scientific, clinical, technical, and executive audiences
Elevate team performance through clarity, judgment, and technical credibility
Turn field experience into precise, actionable feedback for Product, Research, and GTM teams
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.
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