OpenAI
The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. We are looking for an AI emerging risks analyst to help us understand potential harms and misuse of AI at the frontier in a time of rapid, sustained change.
Requirements
- Significant experience (typically 5+ years) in trust and safety, integrity, security, policy analysis, or intelligence work focused on a range of emerging risks situated in strategic context and translated into actionable intelligence.
- Demonstrated ability to analyze complex online harms (e.g., harassment, coordinated abuse, scams, influence operations, brand safety issues) and convert all-source analysis into concrete, prioritized recommendations.
- Strong analytical skills and comfort working with both qualitative and quantitative inputs, including: (1) Casework, incident reports, OSINT, product context, and policy frameworks. (2) Basic metrics and trends in partnership with data science (e.g., harm prevalence, severity profiles, exposure, escalation rates).
- Strong adversarial and product intuition, able to foresee how actors might adapt AI tools for misuse and evaluate how product mechanics, incentives, and UX decisions influence risk.
- Experience designing and using risk frameworks and taxonomies (e.g., harm classification schemes, severity/likelihood matrices, prioritization models) to structure ambiguous spaces and support decision-making.
- Understanding of the application of foresight methodologies including horizon scanning, scenario planning, tabletop exercises, or simulations.
- Proven ability to work cross-functionally with product, engineering, data science, operations, legal, and policy teams, including pushing for clarity on tradeoffs and following through on mitigation work.
- Excellent written and verbal communication skills, including experience producing concise, executive-ready briefs and explaining sensitive, complex issues in grounded, concrete terms.
- Comfort operating in fast-changing, ambiguous environments: you can identify weak signals, form hypotheses, test them quickly, and adjust as the product and threat landscape evolves.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
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