As a Strategic Risk Analyst, Behavioral & Psychological Risk, you will bring deep expertise in human behavior to our central view of risk across OpenAI's products and platforms.
You will analyze how users think, feel, and behave in interaction with AI systems,especially in high-risk contexts such as self-harm, manipulation, coercion, and influence,and translate these insights into decision-ready risk assessments, mitigation strategies, and product guidance.
This role bridges clinical/behavioral expertise and intelligence analysis, turning psychological signals and patterns into structured judgments, early indicators, and actionable recommendations.
You will partner closely with investigators, engineers, policy, and trust & safety teams to shape how we understand and mitigate potential risks in human-AI interactions.
Key responsibilities include:
- Developing insights into how AI systems are used in complex or high-risk situations (e.g., self-harm, suicidal ideation, substance-use escalation, and threats of violence), identifying recurring patterns and emerging trends that help guide product, safety, and policy decisions.
- Synthesizing behavioral, psychological, and intelligence signals into clear narratives about user needs, system dynamics, and potential areas of risk or vulnerability.
- Producing decision-ready briefs and assessments that inform product, safety, and policy decisions.
- Developing and refining behavioral risk frameworks, taxonomies, and indicators (e.g., severity models, escalation pathways, psychological harm categories).
- Identifying early indicators of emerging issues and assessing whether observed patterns represent meaningful safety concerns, helping prioritize and inform appropriate mitigations.
- Assessing the effectiveness of mitigations,such as product changes, safeguards, and guidance,using behavioral evidence and real-world outcomes.
- Contributing to incident reviews and post-incident analysis by bringing a behavioral perspective to root cause analysis and prevention.
- Bridging research and operations, translating academic and clinical literature into practical safeguards, policies, and product decisions.
You might thrive in this role if you:
- Bring 5+ years in forensic, clinical, trust and safety, or applied academic settings assessing risk of violence, self-harm, or addiction, with strong mixed-methods research skills.
- Have familiarity with AI systems, language models, or human-AI interaction dynamics, and are interested in applying psychological expertise to emerging AI risks (experience working on AI safety, trust & safety, or related domains is a plus).
- Can translate human behavior into structured intelligence, connecting individual cases to system-level patterns and risks.
- Are comfortable working across qualitative and quantitative inputs, including casework, interaction data, research literature, and metrics.
- Have experience designing or using risk frameworks, taxonomies, or evaluation methods to structure ambiguity.
- Communicate clearly across disciplines, turning complex behavioral insights into concise, actionable recommendations.
- Thrive in fast-moving, ambiguous environments, and can prioritize effectively under uncertainty.
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