Research Program Manager, Frontier Assurance

We Love AI Jobs; San Francisco (CA); Híbrido; USD 239 000 - 328 000; Tempo integral

Resumo da oferta

OpenAI's Frontier Assurance team in San Francisco is seeking a Research Program Manager to design and oversee independent assessments of frontier models and safeguards, coordinating external researchers and internal teams to drive rigorous evaluation and transparent reporting.

You will translate findings into actionable safety recommendations for safeguards, deployment, product, and policy, and lead public system cards and reports while ensuring cross-functional collaboration across research,

Qualificações

• The Frontier Assurance team brings independent scrutiny into OpenAI's safety decisions and helps the public understand our safety work.
• We lead third-party assessments and safeguard testing for flagship launches, pilot new assurance mechanisms such as embedded auditing, and incorporate independent expert input for critical safety decisions.
• We translate complex safety findings into accessible communications and public documentation.

Responsabilidades

• Design and run third-party assessment programs for frontier models and safeguards with researchers and external partners.
• Build and manage strategic research partnerships with third-party evaluators, academic labs, and independent experts.
• Bring external findings to safety decision-makers and translate them into actionable recommendations for safeguards, deployment, product, and policy.
• Partner with research, product, policy, and communications teams to explain evidence behind OpenAI's safety approach and ensure clear communication for public audiences.
• Lead public transparency programs, including system cards and summaries of third-party assessments and follow-up actions.
• Own program goals, milestones, dependencies, and risks across assessment and transparency work.

Conhecimentos

Research partnerships

Program management

AI evaluations

Third-party assessments

Safety documentation

Technical communication

Stakeholder management

Descrição da oferta de emprego

# Research Program Manager, Frontier AssuranceOpenAISan Francisco (Hybrid)Full-time$239,000 – $328,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThe Research Program Manager leads independent assessments of OpenAI’s frontier models and safeguards, coordinating external research partners and internal teams. The role also turns assessment findings into recommendations for safety decisions and clear public documentation, including system cards and reports.* Full-time* Hybrid### Skills and expertiseResearch partnershipsProgram managementAI evaluationsThird-party assessmentsSafety documentationTechnical communicationStakeholder management### Key responsibilities* Design third-party assessments of frontier models and safeguards with researchers and external partners.* Bring external findings to safety decision-makers and track follow-up actions.* Lead public safety documentation that explains evidence, limitations, and uncertainty.## How this job comparesCompared with 11 open manager research jobs on October 10, 2026.Pay: This job pays $239K to $328K a year. The 6 open manager research jobs that publish US pay start at $248K on average, so this job starts in line with them.Similar open jobs: We Love AI Jobs lists 11 open manager research jobs at 8 companies.Remote work: This job is hybrid. 0 of the 11 manager research jobs (0%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role regularly engages with frontier-model evaluations, safeguards, and AI safety research. Its main work is coordinating assessments and communicating evidence, rather than building or training models.## Full descriptionAbout the TeamThe Frontier Assurance team brings independent scrutiny into OpenAI’s safety decisions and helps the public understand and assess our safety work. We lead third-party assessments and safeguard testing for OpenAI’s flagship launches, pilot new assurance mechanisms such as embedded auditing, run our misalignment disclosure process, and incorporate independent expert input as evidence for critical safety decisions.About the RoleAs a Research Program Manager on the Frontier Assurance team, you will build programs that bring independent expertise into frontier AI safety decisions and make the evidence behind those decisions understandable to the public. You will lead external research partnerships and third-party assessments, coordinate public safety documentation, and develop new approaches to independent scrutiny and transparency. Working across research, engineering, product, policy, and communications, you will help ensure external findings inform concrete decisions and that our public explanations accurately reflect the evidence, limitations, and remaining uncertainty.We’re looking for people with deep experience in research partnerships and program management with technical and research teams. This role combines partnership management, cross-functional coordination, an understanding of AI safety research, alignment, and evaluations, and strong communication skills. You will work with researchers and engineers within OpenAI and across the external community to initiate projects, set ambitious goals and milestones, and drive execution across multiple teams.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:• Design and run third-party assessment programs for frontier models and safeguards, including independent evaluations, adversarial testing, and new approaches such as embedded auditing. Work with researchers and external partners to define assessment questions, scope, access, timelines, and deliverables.• Build and manage strategic research partnerships with third-party evaluators, academic labs, and other independent experts, prioritizing expertise, independence, and diversity of perspectives. Enable rigorous research, including work that challenges internal assumptions.• Bring external findings to safety decision-makers and translate them into actionable recommendations for safeguards, deployment, product, and policy. Track follow-up actions and ensure partners understand how their input was considered.• Partner with research, product, policy, and communications teams to explain the evidence behind OpenAI’s safety approach: what we tested, what we learned, how findings shaped safeguards and deployment decisions, and where limitations and uncertainty remain. Translate complex technical results into accurate, accessible communication for expert and public audiences.• Lead public transparency programs, including system cards, summaries of third-party assessments, and updates on significant findings and follow-up actions. Develop approaches to sharing methods, results, and limitations while protecting privacy, security, and sensitive information.• Create channels for researchers and civil society to ask questions, provide feedback, and inform future assessments and transparency efforts, including beyond individual launches.• Own program goals, milestones, dependencies, and risks across assessment and transparency work, keeping internal and external stakeholders informed and resolving obstacles to execution.You might thrive in this role if you:• Have an understanding of AI evaluations and measurement, and can engage with technical teams on evaluation design and results.• Can interpret evaluation findings and communicate what they do and do not establish, including methodological limitations, uncertainty, and disagreement.• Have experience building research partnerships and managing external stakeholders, especially academic researchers and independent experts.• Can synthesize technical and social science research into clear executive summaries and accessible explanations for public audiences.• Have experience delivering technical publications or public reports across multiple contributors, and exercising judgment about what to share, with whom, and when.• Have worked cross-functionally across product, research, and engineering teams and can coordinate complex programs with policy and communications partners.• Have an understanding of and interest in frontier AI safety and policy.