Strategic Risk Manager

Details

About the team

The Intelligence & Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. The team identifies emerging abuse trends, analyzes risks, and works with internal and external partners to implement mitigation strategies to protect against misuse. The team is 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 a 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 risk reporting, maintain a risk register and heat map tied to mitigation owners, and serve as the primary I2 input into safety and protection prioritization forums. You will combine quantitative and qualitative analysis and work closely with geopolitical and infrastructure, and measurement and forecasting sub-teams to ground judgments in data, prevalence, and trajectory.

This role is focused on operationalizing real-world-abuse-informed risk prioritization and forecasting, shaping risk prioritization across product, safety, and infrastructure organizations, and driving alignment on high-impact mitigations.

Responsibilities

• Own the weekly emerging risks and trends report that synthesizes internal abuse patterns, OSINT, and conversational signals into 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, mapping 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 with the measurement team to assess mitigation effectiveness and remaining residual risk.
• Act as the connective tissue with the measurement & forecasting sub-team to ensure risk judgments are grounded in prevalence estimates, trajectories, and uncertainty.
• Integrate abuse telemetry and qualitative intelligence into decision-ready risk judgments that 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 reprioritization.
• Communicate insights through concise briefs, dashboards, and live readouts that drive executive action, quarterly prioritization, and cross-functional alignment.

Requirements

• 7+ years of experience in strategic risk, threat intelligence, trust & safety, policy analysis, or a related field, including 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.
• Experience designing and running risk registers, heat maps, or prioritization frameworks that connect likelihood, impact, and exposure to concrete mitigations and owners.
• Comfortable working with both quantitative and qualitative inputs—ranging from abuse telemetry and model logs to OSINT, investigative findings, and narrative threat reporting.
• Strong analytical skills and familiarity with basic measurement and forecasting concepts (e.g., prevalence, trend analysis, uncertainty), and ability to collaborate with measurement and data science partners.
• Excellent written and verbal communication; ability to translate messy, sparse, or fast-moving signals into decision-ready insights for executives and multidisciplinary partners.
• Comfortable prioritizing under uncertainty, stating assumptions explicitly, and evolving frameworks as the threat and product landscape changes.
• Motivated by building horizontal, cross-functional systems (rather than one-off reports) and acting as connective tissue across investigations, measurement, product, and policy.

Benefits

• Base pay range: $320,000 – $425,000 (base pay may vary by market location, experience, and skills). Offers equity and may include performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts (Health FSA, Dependent Care FSA, commuter accounts).
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks for birth parents, 20 weeks for non-birthing parents) and paid medical/caregiver leave.
• Flexible PTO for exempt employees; up to 15 days annually for non-exempt employees; 13+ paid company holidays and periodic company office closures.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits (charitable donation matching, wellness stipends) and other benefits detailed during hiring.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety and inclusive perspectives in building AI systems. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law. Additional policies and privacy information are provided in linked OpenAI policy documents.