Model Policy Manager, Agentic Safety

OpenAI

. Identify vulnerabilities emerging as models interact with tools, data, and external systems .

Posted 9/15/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $207,000 - $295,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI agent safety, cybersecurity, and the development of safety policies and safeguards. Capable of translating complex alignment risks into measurable evaluation criteria while collaborating across research, engineering, and product teams.

Highest-signal resume keywords

AI Agent SafetyCybersecurityEmpirical Evidence DevelopmentTechnical Fluency in Evaluation DataClear Communication of Technical Risks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Vulnerability IdentificationThreat ModelingData Quality AssessmentPolicy Framework DevelopmentBehavioral Expectation Translation

Soft Skills

Adversarial MindsetCollaboration Across TeamsAnalytical Thinking

Industry Keywords

AI AlignmentModel BehaviorSafety PoliciesEmerging RisksSystem Safety

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Identify vulnerabilities emerging as models interact with tools, data, and external systems
Translate vulnerabilities into model- and system-level safeguards
Develop threat models and empirical frameworks for harmful outcomes from misaligned behavior
Identify underlying behaviors and system conditions driving harmful outcomes
Turn findings into policy frameworks, evaluation criteria, online measurement, and safeguards
Develop human data campaigns and gold sets for measuring emerging behaviors and risks
Partner with research, engineering, security, and product teams on model and system safety
Balance trade-offs between safety, utility, and business risk
Inform deployment decisions, system cards, safeguards reports, and OpenAI’s approach to agentic safety
Build monitoring approaches to detect post-deployment regressions and emerging risks

Requirements

What you’ll need

Strong background in AI agent safety, privacy, security, cybersecurity, or adjacent fields
Adversarial mindset for investigating real-world harmful outcomes
Demonstrated interest in AI alignment
Strong understanding of the technical drivers of misaligned model behavior
Technical fluency to work directly with evaluation and training data
Ability to inspect examples, analyze failure patterns, assess data quality, and distinguish policy failures from grader, model, or system failures
Experience using empirical evidence to develop and refine safety policies and safeguards
Ability to translate ambiguous alignment risks into precise behavioral expectations and measurable evaluation criteria
Ability to work across research, engineering, security, product, and policy
Clear communication about complex and uncertain technical risks

Benefits

Comp & perks

Equity
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
Paid medical and caregiver leave (up to 8 weeks)
Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays
Multiple paid coordinated company office closures throughout the year for focus and recharge
Paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in offices
Meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching may be provided
Wellness stipends may be provided
Hybrid model with optional work from home on Thursdays and Fridays
Height-adjustable desks, conference rooms, phone booths, well-stocked kitchens with snacks and drinks, private outdoor space, nap rooms, and private bike storage