Model Policy Manager, Multimodal Safety

Details

Safety Systems manages the lifecycle of safety efforts for OpenAI’s frontier models, including system-level safeguards, model training, evaluation, and red-teaming. The Model Policy team designs policies that define safe and reliable model behavior in real-world environments.

Responsibilities

• Design and maintain model policies for audio, image, video, and omni-modal behavior.
• Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards.
• Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration.
• Develop policy artifacts supporting model training, evaluation, and deployment, including behavior instructions, human-data campaigns, golden sets, and evaluations.
• Partner with AI researchers, domain experts, and product teams to operationalize policy into measurable model behavior.
• Work with multimodal AI models and capabilities such as GPT-Live and ChatGPT Images.

Requirements

• Strong judgment about the real-world risks of advanced multimodal AI systems.
• Experience turning ambiguous safety questions into clear, data-driven policies, behavioral boundaries, and measurable evaluation criteria.
• Ability to treat policy as an end-to-end, measurable system by testing intended model behavior and diagnosing gaps across policy, data, graders, and safeguards.
• Strong technical judgment when designing policies around model behavior that can realistically be trained, measured, and supervised at scale.
• Strong technical fluency and experience using AI tools to accelerate policy development, evaluate model behavior, analyze failure patterns, and turn findings into actionable improvements.
• Hands-on experience with model data and evaluation results, including inspecting examples, analyzing failure patterns, assessing data quality, and distinguishing policy failures from grader, model, or system failures.
• Ability to work in fast-paced, collaborative research environments where priorities shift as models, evidence, and risks change.
• A pragmatic, evidence-driven approach to reducing risk while preserving beneficial uses of AI.
• Experience driving consensus and action in ambiguous spaces.

Benefits

• Base salary range of $266,000–$335,000 per year, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

This role is based in San Francisco, California, and follows a hybrid work model requiring three days in the office per week. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.