OpenAI Research Program Manager at OpenAI leads programs to develop and improve AI safety safeguards and assess frontier risks. Coordinates across research, engineering, and policy to manage safety efforts for frontier models.
Responsibilities
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.
These roles are based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
Shape safety programs and technical roadmaps. Partner with research and engineering leads to define goals, milestones, dependencies, and success criteria. Prioritize intake and emerging findings, resolve blockers, and 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 opportunities for improvement for one or more risk areas, and drive a roadmap that advances 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. Work with technical teams to define assessment scope and the evidence needed to inform safety and access decisions.
Turn findings into improvements. Triage safeguard gaps, jailbreaks, and overflagging with accountable teams. Establish owners and escalation paths, track remediation and regression testing, and turn recurring issues into research and engineering improvements.
Strengthen the evidence behind safety decisions. Support safety cases that connect claims to evaluations, safeguards, assumptions, and remaining uncertainty. Surface evidence gaps and unresolved risks, and 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, particularly in AI, cybersecurity, biosafety, or another field where failures can have serious consequences.
