Engineering Manager, Identity & Access Platform
Lead the Identity Infrastructure Engineering team building scalable, secure identity and access management systems for OpenAI's research, engineering, and internal platforms. Requires 10+ years leading engineering teams and deep expertise in IAM, cloud infrastructure, and security-critical systems.
Responsibilities
- Build and lead a high-performing Identity Infrastructure team, going deep enough technically to set direction while empowering the team to own delivery.
- Define the strategy for identity platform as the policy plane for access across people, agents, workloads, services, clouds, and internal systems.
- Scale Access Manager for evolving human and agent lifecycles, making routine access automatic and sensitive access contextual, time-bound, and accountable.
- Build the access graph and resource catalog that make access decisions explainable, risk-aware, and grounded in ownership, sensitivity, environment, and usage.
- Replace broad standing privilege with risk-tiered access, so routine work stays fast, privileged access is narrow and observable, and break-glass is exceptional.
- Establish first-class authorization for agents and workloads, with delegated, action-scoped permissions, time-bound access, full attribution, and no credential sharing.
- Partner across Security, Infrastructure, Applied, Research, IT, and product to turn identity standards into systems teams trust and adopt.
- Operate identity infrastructure as a mission-critical platform, with clear reliability goals, safe rollouts, strong observability, healthy on-call, and rigorous incident learning.
Requirements
- 10+ years building and developing engineering teams that own large scale platforms.
- Experience owning security critical production systems where reliability, least privilege, auditability, and operational rigor are essential.
- Deep judgment across cloud infrastructure, IAM, authentication, authorization, workload identity, privileged access, and policy enforcement.
- Hands-on technical depth to go into code and architecture, pressure-test designs, and guide tradeoffs across correctness, performance, scale, and operability.
- Track record turning complex infrastructure problems into adopted platforms across Engineering, Security, Research, and internal teams.
- High bar for engineering quality, operational discipline, and long-term ownership.
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