# Model Policy Manager, Agentic Safety **Company**: OpenAI **Location**: San Francisco **Work arrangement**: hybrid **Experience**: senior **Job type**: Full time **Salary**: $207K - $335K **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q124605186 **Apply**: https://jobs.ashbyhq.com/openai/b5a022bb-f7a5-47d9-b5e8-9d1575493dcf?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_25a461e3-862 ## Description ## Compensation The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $207K – $335K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits. Benefits include: - 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), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus 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 to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. ## About the Team The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team works to ensure that increasingly capable models behave safely and reliably in real-world environments. ## About the Role In this role, you will shape how OpenAI understands and addresses real-world risks that emerge from model misalignment as models become more autonomous and operate over longer horizons. You will investigate how misaligned behavior emerges across extended trajectories and translate these insights into behavioral policies, evaluations, monitoring, and safeguards. ## Your Responsibilities: - Identify vulnerabilities that emerge as models interact with tools, data, and external systems, and translate them into model- and system-level safeguards. - Develop threat models and empirical frameworks for understanding harmful outcomes from misaligned behavior. - Build frameworks for understanding harmful outcomes arising from model misalignment. - Identify the underlying behaviors and system conditions that drive those outcomes. - Turn findings into policy frameworks, evaluation criteria, online measurement and safeguards. - Develop human data campaigns and gold sets to ground measurement and evaluation of emerging behaviors and risks. - Partner with research, engineering, security, and product teams to shape model and system safety, balancing difficult trade-offs between safety, utility, and business risk. - Inform deployment decisions, system cards, safeguards reports, and OpenAI’s broader approach to agentic safety. - Build monitoring approaches that detect regressions and emerging risks after deployment. ## We're seeking someone who: - Brings a strong background in AI agent safety, privacy, security, cybersecurity, or adjacent fields, with the adversarial mindset needed to investigate real-world harmful outcomes. - Has demonstrated interest in AI alignment and a strong understanding of the technical drivers of misaligned model behavior. - Has enough technical fluency to work directly with evaluation and training data, understand what the data is showing, and identify limitations, patterns, and opportunities for deeper investigation. - Is comfortable working hands-on 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. - Uses empirical evidence to develop and refine safety policies and safeguards. - Can translate complex or ambiguous alignment risks into precise behavioral expectations and measurable evaluation criteria. - Works effectively across research, engineering, security, product, and policy. - Communicates clearly about complex and uncertain technical risks. - Enjoys fast-paced, collaborative research environments where priorities shift as models, evidence, and risks change. ## Workplace & Location This role is based in our San Francisco office, with a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays. ## Skills ### Required - AI agent safety - privacy - security - cybersecurity - AI alignment --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/b5a022bb-f7a5-47d9-b5e8-9d1575493dcf?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)