Manager, Forward Deployed Engineering

OpenAI OpenAI · AI Frontier · San Francisco, CA · Model Deployment for Business

Manager for a Forward Deployed Engineering team at OpenAI, responsible for leading a team that turns research breakthroughs into production systems for customers. The role involves owning end-to-end delivery outcomes, informing product and research roadmaps, and ensuring safe deployment at scale. Requires strong leadership, technical delivery experience, and the ability to make sound decisions under pressure.

What you'd actually do

  1. Lead and grow a team of FDE delivering production systems with frontier models
  2. Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality
  3. Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community
  4. Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices
  5. Use judgement to distinguish what requires action and what does not

Skills

Required

  • 8+ years of engineering or technical delivery experience
  • 2+ years managing high-performing FDE or customer-facing engineers
  • Led high-pressure technical projects from prototype to production
  • Write and review production-grade code
  • Javascript or Python
  • Simplify complex work
  • 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

What the JD emphasized

  • high-stakes, ambiguous customer deployments
  • technical and business value outcomes end to end
  • operate under pressure
  • safe deployment at scale
  • fieldwork informs roadmap priorities
  • drives new exploration
  • supports safe deployment at scale
  • customer delivery
  • production systems
  • frontier models
  • end-to-end delivery outcomes
  • technical quality
  • roadmap inputs
  • early indicators
  • product behavior
  • customer environments
  • delivery practices
  • judgement
  • high-performing FDE or customer-facing engineers
  • high-pressure technical projects
  • prototype to production
  • fast, sound decisions under pressure
  • ambiguous or evolving environments
  • field experience
  • sharp, actionable feedback
  • calm, focus, and judgment

Other signals

  • customer delivery
  • production systems
  • frontier models
  • technical and business value outcomes
  • roadmap priorities
  • safe deployment at scale