About the TeamThe Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths.
About the RoleWe are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt.
The Sensitive Deployments PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments.
This position is based in San Francisco, CA, with relocation assistance available.
In this role, you will:- Own the roadmap for sensitive deployment Integrity controls and readiness criteria.
- Define how we measure residual risk, decision quality, review quality, and mitigation effectiveness.
- Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns.
- Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities.
- Create launch and deployment playbooks for sensitive customer, capability, and product contexts.
You might thrive in this role if you:- Have shipped complex product systems in AI, integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety.
- Can turn ambiguous policy and threat-model questions into product requirements, metrics, operational workflows, and tradeoff frameworks.
- Are energized by agentic AI products and want to build the platform layer that makes them safer to deploy.
- Care about security, privacy, and responsible deployment, while still wanting to build concrete product systems.
