Model Policy Manager in United States

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Some of our publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. In this role, you will: Develop model policies that guide safe and useful behavior. Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: Bring relevant experience in AI safety, policy, or risk assessment. Have strong judgment and can turn complex safety questions into clear, practical policies. Have the technical fluency to work hands-on with model data and evaluations. Are motivated by OpenAI’s mission and the responsible use of

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. 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 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 that support model training, evaluation, and deployment, including behavior i

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 works to ensure that increasingly capable models behave safely and reliably in real-world environments. We investigate emerging model failures, define the behavior models should exhibit instead, and develop the data, evaluations, monitoring, and safeguards needed to improve and validate that behavior. Our work connects alignment research with the practical challenges of training and deploying frontier models. 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 - including when models persist toward the wrong objective, take unsafe shortcuts, lose track of instructions, exploit weaknesses in their environment, or circumvent constraints - and translate these insights into behavioral policies, evaluations, monitoring, and safeguards. This role is ideal for someone who wants to turn alignment and safety concerns into concrete, empirically grounded improvements to frontier AI systems. 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 eme

About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Product Policy Manager, Regulation, you will map external regulatory and legislative trends and synthesize them into concrete research, product, and policy requirements. You will connect deep expertise in regulation and public policy with a sophisticated understanding of AI and strong product judgment. Your remit will span frontier AI, youth, wellbeing, use in high-stakes domains, deceptive use, and other emerging issues. Working closely with Legal and Global Affairs, you will help Product, Engineering, Research, and Safety teams understand what external developments mean for their work, what decisions or evidence are needed, and how to act. We’re looking for someone who combines deep regulatory and public-policy expertise with an in-depth understanding of AI and a demonstrated ability to advise product and engineering teams. You should be able to move from complex external developments to clear decisions and requirements that teams can implement. This role can be based in San Francisco or remote. 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: Map and prioritize regulatory and legislative developments across jurisdictions and AI issue areas. Distinguish enacted requirements, proposals, guidance, and emerging expectations; assess their relevance, uncertainty, timing, and implications for our models and products. Translate external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identify gaps in evidence, define the intended outcome and acceptance criteria, and make tradeoffs and open questions c

About the Team The Search research team focuses on building the systems that help AI systems find, retrieve, and use information from the world. We aim to make answers more useful and grounded for more than a billion ChatGPT users. About the Role We’re looking for a Technical Program Manager to lead a broad portfolio of research and engineering programs that power search. You’ll partner closely with researchers, engineers, and product leaders to turn ambitious goals into clear plans, resolve dependencies, and move complex technical work forward. This role combines technical depth, product judgment, and hands-on execution. You’ll work across retrieval, indexing, and model improvements, while collaborating with policy, legal, and external data partners. You’ll help teams make informed tradeoffs and build practical ways of working that support a fast-moving research environment. This role is based in San Francisco, CA. In this role, you will: Lead programs across model training, retrieval, large-scale indexing, and search infrastructure. Translate evolving goals into prioritized workstreams with clear owners, milestones, dependencies, and resource needs. Partner with research, engineering, and product leads to define requirements and make tradeoffs across scope, quality, performance, timelines, and cost. Establish program success metrics and use them to guide priorities and track improvements in coverage, answer quality, responsiveness, and trust. Identify technical and cross-functional risks early, drive blockers to resolution, and communicate progress and decisions clearly to teams and leadership. Coordinate with product, policy, legal, and external partners on data access, use, and presentation, helping teams resolve decisions that span technical and non-technical domains. Manage dependencies with data providers and build repeatable processes that help research and engineering teams execute effectively as the search effort grows. You might thrive in this role if you

About the Team The Industry Marketing team helps OpenAI bring frontier AI to the industries where it can create meaningful, measurable impact. We work across Product, GTM, Communications, Partnerships, Policy, Security, and Research to translate model and product capabilities into industry narratives, field motions, customer proof, and launch programs that help enterprises adopt AI responsibly. About the Role As Product Marketing Manager, Cybersecurity, you will help define how OpenAI brings frontier AI to cyber defenders. This role sits at the center of Daybreak, OpenAI’s cybersecurity initiative to help defenders see risk earlier, act sooner, and build software that is resilient by design. You will shape the market narrative, build the field-facing operating system, and coordinate cross-functional execution across product launches, customer proof, partner moments, events, and account-based campaigns. You will help senior security leaders understand how OpenAI models, Trusted Access for Cyber, Codex Security, and related workflows can support real defensive work. We’re looking for a product marketer who combines strategic narrative, technical curiosity, enterprise go-to-market judgment, and program leadership. The right person can turn fast-moving capabilities into clear positioning, credible assets, and practical field execution. In this role, you will: Own positioning and messaging for OpenAI’s cybersecurity offering, including Daybreak, Trusted Access for Cyber, Codex Security, and related product surfaces. Build field-ready assets for account directors, solutions engineers, security leaders, and executive audiences, including first-call decks, one-pagers, use-case libraries, customer stories, and proof-point packages. Translate frontier model capabilities into simple, accurate, and defensible go-to-market language for senior enterprise buyers and security practitioners. Partner with Product, Research, Security, Policy, Communications, Partnerships, and GTM to c

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners. Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm. About the Role We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers. Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership. You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level. Thi

About the Team The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths. About the Role We are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt. The Sensitive Deployments PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Own the roadmap for sensitive deployment Integrity controls and readiness criteria. Define how we measure residual risk, decision quality, review quality, and mitigation effectiveness. Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns. Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities. Create launch and deployment playbooks for sensitive customer, capability, and product contexts. You might thrive in this role if you: Have shipped complex product systems in AI, integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety. Can turn am

About the Team The 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 Role As 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 part

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role We are hiring a Product Manager to focus on risk related to multimodal models. In this role, you will drive initiatives which ensure that OpenAI’s audio, image, and video deployments are safe, impactful, and aligned with user needs and technical innovation. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Partner closely with AI research, engineering, data science, policy teams, and other stakeholders to embed safety throughout the development and deployment of multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. Develop comprehensive frameworks for understanding and mitigating deployment safety risks, drawing on data analysis, expert consultation, and adversarial assessments. Define strate

The Role MongoDB is seeking a Staff Product Manager to lead strategic initiatives across Identity and Security. In this role, you will serve as the senior product leader shaping the next generation of authentication, authorization, and access control across MongoDB Atlas, the core database engine, and emerging developer platforms. You will lead the strategy for non-human identity—spanning workload identity federation, zero-trust passwordless access, Model Context Protocol (MCP) integrations, and autonomous AI agentic identity. You will partner closely with engineering, UX, product marketing, and enterprise customers to build identity experiences that are enterprise-grade, seamless for developers, and secure by default. Responsibilities Set and champion a multi-year product strategy across interrelated identity areas, aligning dependencies and investments to MongoDB’s broader objectives Identify cross-cutting customer and market opportunities, build business cases for investment, and bring a clear point of view to senior stakeholders Lead workload identity federation and programmatic access initiatives across cloud and enterprise identity environments Define secure authorization approaches for AI agents and MCP clients, including delegation, identity lifecycle, policy, and administrative controls Drive developer-first access management, ensuring security controls enhance rather than obstruct developer velocity Partner with engineering, design, GTM, and cross-functional leadership to validate enterprise requirements, prioritize initiatives, and measure feature adoption Stay ahead of evolving cloud security paradigms, emerging standards (e.g., SPIFFE/SPIRE, O4AA), and AI access patterns to guide executive decision-making Represent MongoDB’s security and identity vision at industry events, customer advisory boards, and executive briefings Demonstrate creativity, an innovative spirit, and a bias towards action Requirements 8+ years (or equivalent experience) in Pro

About the team Platform Partnerships builds and grows the relationships that extend OpenAI products through the world’s most important technology platforms. The team works across Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations to turn partner opportunities into durable product experiences and business outcomes. We are a small team working on opportunities that rarely arrive with a playbook. We set the strategy, make the tradeoffs, and stay close to execution through launch and scale. About the role We’re hiring a Strategic Partner Manager to own and drive the expansion of a portfolio of OpenAI’s most strategic platform partnerships. You will treat each partnership as a business: set the expansion thesis, align joint product roadmaps, structure commercial opportunities, and translate shared ambition into measurable adoption, usage, revenue, distribution, and product impact. This is a senior individual-contributor role with full-lifecycle ownership—from strategy and negotiation through integration, launch, performance, expansion, and renewal. It is a 0-to-1 builder role, not a coordination role. You will create clarity where the operating model is still emerging, make sound decisions with incomplete information, and step into the details required to move the work forward. The right person can move fluidly between a multi-year partnership strategy and the immediate product, commercial, or operating blocker in front of the team. You will build trusted relationships at the executive and working levels while representing OpenAI’s priorities with clarity and thoughtful pushback. What success looks like Each priority partner has a clear expansion thesis, joint roadmap, governance model, and measurable outcomes. High-priority product integrations and go-to-market initiatives launch with clear ownership, strong readiness, and fewer unresolved dependencies. Partnerships show measurable growth across the outcomes that matter for t

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. 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: Manage key risk areas and corresponding stakeholders. Keep track of a stack of existing and future mitigations for every major product and model deployment. Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. Manage pre-launch safety reviews. Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. Help with publishing and open sourcing safety

About the Team The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely. The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting. About the Role We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems. You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity. In This Role, You Will Lead and grow a high-performing Trust & Safety Data Engineering team. Define the roadmap and technical strategy for Trust & Safety data systems. Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring. Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting,

About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect model weights, customer data, and critical systems across multiple cloud environments. The team partners across OpenAI, including Applied Engineering, Research, IT, Security, Infrastructure, and Engineering, to provide secure and scalable platforms for identity, access management, permissioning, orchestration, and safe AI research. About the Role We’re looking for an engineering leader to lead Identity Infrastructure Engineering, the team building the systems that govern and scale access across OpenAI’s research, engineering, and internal platforms. This role sits at the center of cloud infrastructure, identity, software engineering, and security-critical operations. You’ll lead engineers building control planes, policy systems, workload and agent authorization patterns, infrastructure-as-code, and operational foundations that help OpenAI move quickly while keeping access reliable, auditable, least-privileged, and safe under failure. The ideal candidate has led teams responsible for large-scale, mission-critical infrastructure. They can go deep into code and architecture when needed, while giving engineers and technical leads the clarity and ownership to do their best work. They set technical direction, grow strong teams, make durable architecture decisions, and turn ambiguous 0-to-1 problems into platforms OpenAI can trust and build on for years. In this role, you will: Build and lead a high-performing Identity Infrastructure team, going deep enough technically to set direction while empowering the team to own delivery. Define the strategy for identity platform as the policy plane for access across people, agents, workloads, services, clouds, and internal systems. Scale Acc