Agentic Risk Analyst

OpenAI • San Francisco, CA

63d • $288,000 - $425,000

About The Position

The Intelligence and Investigations team at OpenAI seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. The Strategic Intelligence & Analysis (SIA) team specifically provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. This role focuses on shaping OpenAI’s operating picture for current agentic risk across products and platforms. The Agentic Risk Analyst will bring a strategic, system-level perspective to current risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. The analysis will focus on how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, considering both adversarial misuse and unintended system behavior. By synthesizing signals from various sources, the analyst will maintain a current view of material risks and evolving threat patterns, translating complex signals into coordinated decisions and measurable follow-through across product, safety, security, policy, and governance teams. This role involves close collaboration with investigators, engineers, product, policy, safety, and security teams, as well as measurement and forecasting experts, to maintain a shared operating picture and drive coordinated decision-making in the evolving risk landscape of agentic systems.

Requirements

• Significant experience—typically 7+ years—in trust and safety, integrity, security, cyber threat intelligence, AI safety, product risk, strategic intelligence, abuse investigations, or a related field.
• A strong understanding of modern AI systems and agentic architectures, including hands-on experience using, evaluating, or building agentic systems. Familiarity with AI safety concepts, agentic failure modes, and misalignment risks, and the ability to reason about how agent objectives, incentives, environments, and system design choices may produce unintended or harmful outcomes.
• Demonstrated experience analyzing how harmful outcomes emerge from interactions between users, products, and technical systems, and the ability to assess how increasingly capable agentic systems may amplify, automate, or transform existing abuse vectors such as fraud, scams, social engineering, coordinated influence operations, cyber abuse, or other forms of platform misuse.
• Experience operating a cross-functional risk, safety, security, or integrity program, clarifying ownership, resolving dependencies, escalating gaps, and driving follow-through without direct authority.
• Exceptional analytical judgment and experience producing assessments under uncertainty. Ability to identify weak signals, develop and test hypotheses, distinguish signal from noise, communicate assumptions and confidence levels clearly, and update conclusions as new evidence becomes available.
• Strong technical fluency and comfort engaging deeply with engineers, researchers, and security practitioners. Ability to translate technical findings into clear risk assessments.
• Comfort synthesizing data and evidence from multiple sources to manage a current risk portfolio, including investigations, telemetry, evaluations, experiments, dashboards, and external research.
• Experience applying risk frameworks, threat models, severity assessments, taxonomies, or prioritization frameworks to structure current operational ambiguity and support decision-making.
• Ability to communicate complex topics clearly and effectively, producing concise, executive-ready analysis and influencing stakeholders across technical and non-technical teams.
• Ability to thrive in fast-moving environments, balancing rigor with pragmatism while building lightweight operating processes and tools that improve organizational coordination and follow-through on material risks.

Nice To Haves

• Experience using SQL, Python, and analytical tools.

Responsibilities

• Build and maintain a current, company-wide portfolio of material agentic risks across OpenAI’s products, platforms, and emerging capabilities, mapping each risk to relevant workstreams, owners, mitigations, dependencies, decisions, and residual gaps.
• Run a cross-functional intake and review cadence for signals from across OpenAI and the broader ecosystem to identify emerging risks, evolving threat patterns, and important shifts in the agentic risk landscape, routing findings to the right owners and decision-makers.
• Connect individual incidents, technical findings, evaluations, and weak signals to broader system-level trends, producing clear assessments of impact, severity, evidence, uncertainty, priority, and recommended action.
• Assess how emerging capabilities, product changes, ecosystem developments, and adversary adaptation may affect current risk priorities and launch readiness, surfacing risks that are unowned, stalled, or under-mitigated for decision and escalation, and tracking residual risk after launch.
• In partnership with colleagues who lead horizon scanning, use relevant external developments across AI safety and security research, public incidents, adversarial activity, industry standards, emerging technologies, and competitor products, as inputs to current risk prioritization and mitigation decisions at OpenAI.
• Apply and refine practical frameworks and taxonomies for current agentic failure modes, control gaps, abuse patterns, and potential downstream harms across products, deployment environments, and user workflows, integrating them into the broader risk program.
• Produce concise, decision-ready assessments that communicate key findings, assumptions, confidence levels, competing hypotheses, and prioritized recommendations for product, safety, security, policy, and leadership stakeholders, with accountable owners and next review points.
• Define and track operating metrics for the agentic-risk program, including coverage, ownership, decision latency, mitigation status, and closure and partner with measurement experts on risk indicators and monitoring capabilities.
• Partner with colleagues who lead evaluations, scenario analyses, tabletop exercises, red-team campaigns, and investigations focused on agentic systems, using their findings to drive actionable mitigations, accountable ownership, and measurable follow-through.

Benefits

• OpenAI is 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.
• 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.
• Reasonable accommodations to applicants with disabilities are provided.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed