Agentic Risk Analyst

OpenAI, Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• 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.
• Use 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.
• Analyze how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a focus on both adversarial misuse and unintended system behavior.
• Synthesize signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents to maintain a current view of material risks and evolving threat patterns.
• Translate technical findings into clear risk assessments for non-technical stakeholders while engaging deeply with engineers, researchers, and security practitioners.
• Manage a current risk portfolio using data and evidence from multiple sources including investigations, telemetry, evaluations, experiments, dashboards, and external research.
• Apply risk frameworks, threat models, severity assessments, taxonomies, or prioritization frameworks to structure operational ambiguity and support decision-making.
• Communicate complex topics clearly and effectively, producing executive-ready analysis and influencing stakeholders across technical and non-technical teams.
• 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.

🎯 Requirements

• 7+ years of experience in trust and safety, integrity, security, cyber threat intelligence, AI safety, product risk, strategic intelligence, abuse investigations, or a related field.
• Strong understanding of modern AI systems and agentic architectures, including hands-on experience using, evaluating, or building agentic systems.
• Demonstrated experience analyzing how harmful outcomes emerge from interactions between users, products, and technical systems, particularly in the context of agentic systems amplifying abuse vectors like fraud, scams, social engineering, or coordinated influence operations.
• Exceptional analytical judgment and experience producing assessments under uncertainty, including identifying weak signals, testing hypotheses, distinguishing signal from noise, and updating conclusions with new evidence.
• Strong technical fluency and ability to engage deeply with engineers and security practitioners, translating technical findings into clear risk assessments.
• Experience applying risk frameworks, threat models, severity assessments, taxonomies, or prioritization frameworks to structure operational ambiguity and support decision-making.

🏖️ Benefits

• Opportunity to shape how OpenAI coordinates decisions and follow-through across the evolving risk landscape of increasingly capable agentic systems.
• Work closely with investigators, engineers, product, policy, safety, and security teams to ensure AI tools are deployed securely and responsibly.
• Contribute to OpenAI’s mission of developing AI that benefits humanity by mitigating strategic and abuse risks.
• Access to cutting-edge AI research, evaluations, red teaming, and scenario analysis workstreams.
• Collaborate with measurement and forecasting experts to define and track operating metrics for the agentic-risk program.
• Work in a fast-moving environment that balances rigor with pragmatism to build lightweight processes that improve organizational coordination.

Skills & Technologies

Python

Onsite

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OpenAI, Inc.

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About OpenAI, Inc.

OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.

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