Program Manager, Government Trusted Access

About the Role

We are seeking a Program Manager to coordinate OpenAI’s Government Trusted Access portfolio across high-trust domains, such as cyber and bio. You will build and run the operating mechanisms that move government participants from initial interest through review, onboarding, activation, ongoing support, and program improvement.

In this role, you will:

• Coordinate government participation across domain-specific Trusted Access programs, including cyber and biology, while helping stand up future programs as the portfolio evolves.

• Own the end-to-end program operating rhythm across intake, qualification, review, approval, onboarding, activation, ongoing support, renewal, and offboarding.

• Maintain a clear portfolio view of applicants and participating organizations, access levels, requirements, owners, dependencies, commitments, risks, and decisions needed.

• Build practical program mechanisms such as roadmaps, ownership maps, decision logs, risk registers, service standards, operating reviews, dashboards, and executive updates.

• Coordinate cross-functional reviews across OpenAI for Government, Safety, Product Policy, Legal, Security, Product, Research, User Operations, Technical Success, Global Affairs, and domain experts.

• Preserve clear decision boundaries: ensure the right domain owner makes eligibility, policy, safety, security, and access decisions while keeping the broader process moving.

• Identify stalled reviews, broken handoffs, unclear ownership, capacity constraints, and recurring operational gaps; bring the right context, options, and recommendation to resolve them.

• Partner with government-facing teams to set accurate expectations, coordinate participant communications, and ensure commitments are tracked through completion.

• Define and monitor program health through measures such as review time, backlog age, onboarding completion, activation, support demand, participant outcomes, and operational risk.

• Turn manual and one-off work into scalable workflows, documentation, training, automation, and tooling while retaining appropriate human judgment for sensitive decisions.

• Capture lessons across domains and translate them into reusable operating patterns without flattening meaningful differences between programs.