OpenAI

4 months ago

Manager, Forward Deployed Engineer (FDE), Life Sciences

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead and grow a team of Forward Deployed Engineers delivering production AI systems across drug discovery and development workflows. Serve as a hands-on player-coach, setting technical direction, ensuring production-grade quality in regulated environments, and balancing delivery scope with risk. Collaborate with Product, Research, and GTM teams to drive measurable workflow impact for life sciences customers.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•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

Travel: Medium travel

Pay and Benefits

Salary: USD 252,000 - 335,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years of engineering or technical delivery experience, including 2+ years managing high-performing customer-facing or systems-oriented engineering teams
•experience delivering production AI systems in regulated environments or life sciences R&D
•ability to write and review production-grade code and guide architectural decisions across backend, data, and ML-adjacent systems
•strong ability to translate scientific and technical tradeoffs into clear delivery plans, risk posture, and measurable outcomes
•excellent leadership, coaching, and cross-functional collaboration across Product, Research, and GTM teams

Experience:8+ yearsLife sciencesRegulated environmentsAI deployment

Skills:LeadershipMentorshipCommunicationCross-functional collaborationStrategic thinking

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

OpenAI

4 months ago

Manager, Forward Deployed Engineer (FDE), Life Sciences

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•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

Travel: Medium travel

Pay and Benefits

Salary: USD 252,000 - 335,000 annually

Equity and Bonus:Equity

Key Requirements

•8+ years of engineering or technical delivery experience, including 2+ years managing high-performing customer-facing or systems-oriented engineering teams
•experience delivering production AI systems in regulated environments or life sciences R&D
•ability to write and review production-grade code and guide architectural decisions across backend, data, and ML-adjacent systems
•strong ability to translate scientific and technical tradeoffs into clear delivery plans, risk posture, and measurable outcomes
•excellent leadership, coaching, and cross-functional collaboration across Product, Research, and GTM teams

Experience:8+ yearsLife sciencesRegulated environmentsAI deployment

Skills:LeadershipMentorshipCommunicationCross-functional collaborationStrategic thinking

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor