Research Program Manager, Safety Systems
OpenAI · San Francisco
About this role
**About the Team** Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models. We work across research, engineering, product, and policy to understand risks, develop and validate safeguards, and support responsible deployment—covering safeguards research and deployment, safety assessments, launch readiness, and trusted-access programs for advanced capabilities. We address risks including biological and cyber misuse and misalignment, strengthening safety across models and products. **About the Role** We’re hiring **Research Program Managers** across **AI Safeguards** and **Frontier Risks** Safety. You’ll lead programs that develop and improve the safeguards used across our models and products, or assess and mitigate risks associated with frontier capabilities, launches, and trusted-access programs. You’ll partner with researchers, engineers, and other stakeholders to turn open safety questions into clear programs of work—shaping technical roadmaps, coordinating execution, and using evidence to guide priorities and inform development and deployment decisions. **Location & Work Model** - Based in **San Francisco, CA** - **Hybrid**: 3 days in the office per week - **Relocation assistance** available **In this role, you will:** - **Shape safety programs and technical roadmaps**: define goals, milestones, dependencies, and success criteria; prioritize intake and emerging findings; resolve blockers; balance immediate safety needs with longer-term research and platform investments. - **Drive safeguards development and deployment**: translate safety research into safeguards across models and products; maintain an end-to-end view of safeguard coverage, effectiveness, and improvement opportunities for one or more risk areas; advance roadmaps across launches. - **Coordinate evaluations and safety assessments**: organize capability evaluations, alignment and control assessments, adversarial testing, and safeguard stress-testing (including risks from autonomous and multi-agent systems); support embedded assessments throughout model development, internal use, and deployment. - **Drive safety readiness and trusted-access programs**: coordinate safety requirements and execution across frontier model launches and deployments; define assessment scope and the evidence needed for safety and access decisions. - **Turn findings into improvements**: triage safeguard gaps, jailbreaks, and overflagging; establish owners and escalation paths; track remediation and regression testing; convert recurring issues into research and engineering improvements. - **Strengthen the evidence behind safety decisions**: support safety cases connecting claims to evaluations, safeguards, assumptions, and remaining uncertainty; surface evidence gaps and unresolved risks; communicate methods, results, limitations, and follow-up actions through assessment reports, system cards, and updates to decision-makers. - **Build programs that scale across products**: coordinate shared tooling and feedback workflows, privacy and security requirements, and safeguard user experience and quality assurance; help teams apply safeguards consistently across product surfaces and upcoming launches. **You might thrive in this role if you:** - Have **5+ years** of experience in technical safety work, owning technical programs, or related roles in fast-moving environments. - Have led complex research or technical programs involving researchers and engineers—especiall
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