Model Policy, Frontier Cyber Risk

About the Team Our 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 aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role Frontier AI systems are rapidly expanding what is possible in cybersecurity and software engineering. These capabilities create major defensive opportunities, but they also raise serious dual-use and misuse risks across areas such as malware development, exploit discovery, vulnerability chaining, credential abuse, cyber intrusion, and autonomous offensive operations. In this role, you will help define how OpenAI’s models should behave in high-risk cybersecurity contexts. You will develop policy frameworks, threat models, taxonomies, evaluations, and behavioral specifications that guide model behavior across training, deployment, and monitoring systems. This role sits at the intersection of cybersecurity, AI safety, threat modeling, evaluation science, and policy implementation. You will work closely with research, engineering, safety training, preparedness, and product teams to build policies that are technically grounded, measurable, enforceable, and responsive to real-world cyber risk. Your Responsibilities: Design and maintain model policies for cybersecurity and frontier-risk domains, especially dual-use and high-risk cyber capabilities. Translate cybersecurity threat models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level mitigations. Define practical boundaries between legitimate security research, defensive workflows, and assistance that could materially enable harmful activity. Build policy artifacts that support implementation across training, evaluation, deployment, monitoring, and escalation systems. Partner with safety researchers, engineers, and evaluation teams to operationalize policies into scalable model behavior and measurable safeguards. Analyze red-teaming results, deployment data, model failures, over-refusals, and ambiguous edge cases to improve policy and evaluation quality over time. Identify emerging cyber capability areas where advanced AI systems could lower barriers to misuse or increase operational capability for malicious actors. Contribute to system cards, safety reports, policy documentation, and external communications on OpenAI’s approach to cyber risk mitigation. We’re Seeking: Strong technical expertise in cybersecurity, such as offensive security, defensive security, vulnerability research, malware analysis, incident response, threat intelligence, application security, exploit development, infrastructure security, or cloud security. Strong judgment about how AI systems may affect the cyber threat landscape, including dual-use, autonomous, or agentic system risks. Ability to distinguish between legitimate security use cases and assistance that could materially enable harmful cyber activity. Experience building or applying threat models to complex technical systems, especially in adversarial or high-risk environments. Ability to translate technical security expertise into structured policy frameworks, evaluation criteria, operational guidance, and enforcement mechanisms. Comfort using empirical evidence, including evaluations, red-teaming results, deployment observations, and model failure modes, to inform policy decisions. Strong systems thinking across policy, evaluations, classifiers, training, deployment safeguards, measurement, and monitoring. Ability to work cross-functionally with researchers, engineers, product teams, policy experts, and operational stakeholders. Strong written communication skills, especially the ability to explain complex technical and security concepts clearly. A pragmatic approach to safety: focused on reducing real-world risk while preserving legitimate, beneficial, and defensive uses of AI. Our relevant publications: Accelerating the cyber defense ecosystem that protects us all Safety at every step Safety evaluations hub GPT‑5.5 System Card OpenAI Model Spec Workplace & Location This role is based in our San Francisco office. We do encourage you to apply even if you prefer a different work location as factors may change over time. We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

{
  "content_hash": "8eb860daeb58f3fe7792eaa3767967e1f1615bc4cce3e6a0a408d7cef8a77e24",
  "source_hash": "d26133a163cb7927a50b018110483e49bc6c5813778c20c67bd4e298b2171402",
  "last_changed_at": "2026-05-29T05:23:29.773Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:14:33.224Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}

{}

{
  "id": "5664d2d6-639d-4696-9dab-0d703f1d9c5d",
  "team": "Safety Systems, Model Policy",
  "title": "Model Policy, Frontier Cyber Risk",
  "jobUrl": "https://jobs.ashbyhq.com/openai/5664d2d6-639d-4696-9dab-0d703f1d9c5d",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/openai/5664d2d6-639d-4696-9dab-0d703f1d9c5d/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Safety Systems",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": []
}