OpenAI Model Policy Manager at OpenAI to define and maintain model policies for safety-relevant domains. Responsible for translating risk models into behavioral specifications and operationalizing policy into scalable model behavior.
Responsibilities
If you have a specific expertise or speciality related to this work, please note it in your application via your resume, cover letter or application note.
Frontier AI systems are expanding what people can do across domains, creating both enormous opportunities and difficult safety questions: when should a model help, when should it refuse, and how do we make those boundaries clear enough to train, evaluate, and enforce?
This is an ideal role for someone who can move across unfamiliar topics, reason from first principles, and turn ambiguity into practical model behavior. You will work closely with research, engineering, product, preparedness, and operations teams to build policies that are technically grounded, measurable, and responsive to real-world risk.
Your Responsibilities:
Design and maintain model policies across safety-relevant domains, including dual-use, agentic, and emerging frontier-risk areas.
Translate risk and harm models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards.
Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm, exploitation, misuse, or unsafe outcomes.
Build policy artifacts that support model training, evaluation, and deployment.Partner with safety researchers, engineers, product teams, and other stakeholders to operationalize policy into scalable model behavior and measurable safeguards.
Use red-teaming results, deployment data, model failures, over-refusals, under-refusals, and ambiguous edge cases to improve policy and evaluation quality over time.
Identify emerging capability areas where frontier AI systems could create new safety challenges or lower barriers to harm.
Study real-world deployments to identify where model behavior succeeds, fails, or drifts from the intended safety posture.
Combine longer-horizon safety research with hands-on launch and deployment work.
