Strategic Risk Manager

About the team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

We are building a horizontal “radar” for AI abuse and strategic risk—correlating internal signals, external intelligence, and real-world events into clear, actionable priorities for OpenAI’s safety and product decision-makers.

About the role

As the strategic risk manager, you will help build our central view of strategic risk across OpenAI’s products and platforms. You will correlate internal abuse patterns, external OSINT, and conversational trends into risk heat maps and recurring briefs that shape leadership’s focus, resourcing, and mitigation efforts.

You will own our risk reporting, maintain a risk register and heat map tied to concrete mitigation owners, and serve as the primary I2 input into safety and protection prioritization forums. You will bring together quantitative and qualitative analysis and work closely with our geopolitical and infrastructure, as well as measurement and forecasting sub-teams to ground judgments in data, prevalence, and trajectory.

This is a rare opportunity to operationalize real-world-abuse-informed risk prioritization and forecasting for one of the most consequential AI safety problems of our time, shaping risk prioritization across OpenAI’s product, safety, and infrastructure organizations and driving alignment on the highest-impact mitigations.

In this role, you will

• Own the weekly emerging risks and trends report that synthesizes internal abuse patterns, OSINT, and conversational signals into clear, ranked watchlists and decision-ready summaries.

• Prioritize risks for the Intelligence & Investigations (I2) team and represent I2 as a core risk-prioritization input for cross-functional safety efforts.

• Build and automate a living risk register and risk heat map that quantify exposure, likelihood, and impact, and that clearly map each risk to mitigation owners, plans, and status.

• Produce a monthly brief with real-world data, trendlines, and recommended levers for mitigation, resourcing, and product changes.

  Build benchmarks against industry peers and historical baselines, in partnership with the measurement team, so we can assess whether mitigations are working and where residual risk remains.

• Act as the connective tissue with the measurement & forecasting sub-team to ensure that risk judgments, rankings, and narratives are grounded in prevalence estimates, trajectories, and uncertainty.

• Integrate abuse telemetry and qualitative intelligence into decision ready risk judgments that shape prioritization and lead to concrete mitigation across investigations, engineering, policy, trust & safety, and product teams.

• Define and track risk mitigation effectiveness metrics to show where interventions worked, stalled, or need re prioritization.

• Communicate insights through concise briefs, dashboards, and live readouts that drive executive action, quarterly prioritization, and cross-functional alignment.
  

You might thrive in this role if you

• Have 7+ years of experience in strategic risk, threat intelligence, trust & safety, policy analysis, or a related field, including experience owning prioritization or risk-reporting processes for senior leaders.

• Experience influencing senior leaders and driving alignment across technical, policy, and product teams in fast moving environments.

• Have experience designing and running risk registers, heat maps, or prioritization frameworks that connect likelihood, impact, and exposure to concrete mitigations and owners.

• Are comfortable working with both quantitative and qualitative inputs—ranging from abuse telemetry and model logs to OSINT, investigative findings, and narrative threat reporting.

• Have strong analytical skills and familiarity with basic measurement and forecasting concepts (e.g., prevalence, trend analysis, uncertainty), and can collaborate closely with specialized measurement and data science partners.

• Communicate crisply in writing and verbally, and can translate messy, sparse, or fast-moving signals into decision-ready insights for executives and multidisciplinary partners.

• Are comfortable prioritizing under uncertainty, stating assumptions explicitly, and evolving frameworks as the threat and product landscape change