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 OpenAIs overarching goal of developing AI that benefits humanity.

We are building a horizontal radar for AI abuse and strategic riskcorrelating internal signals external intelligence and real-world events into clear actionable priorities for OpenAIs safety and product decision-makers.

About the role

As the strategic risk manager you will help build our central view of strategic risk across OpenAIs products and platforms. You will correlate internal abuse patterns external OSINT and conversational trends into risk heat maps and recurring briefs that shape leaderships 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 OpenAIs 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 inputsranging 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 changes.

• Are motivated by building horizontal cross-functional systems (rather than one-off reports) and enjoy being the connective tissue across investigations measurement product and policy.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are 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.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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Required Experience:

Manager