Analytics & Automation Lead, User Safety & Risk Operations

About the Team At OpenAI, our User Safety Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. The Analytics Automation team helps USRO operate more effectively and scale safely. The team builds automation, analytics, reporting, monitoring, and quality systems that improve how work is prioritized, reviewed, measured, and managed across the organization’s portfolio. Our work includes workflow automation, operational health dashboards, queue and case analysis, quality measurement, classifier and evaluation feedback loops, alerting, reporting infrastructure, and decision-support tools. We partner closely with operational teams as well as Product, Engineering, Product Policy, Safety, and Support to identify high-leverage opportunities and build practical systems that improve outcomes. About the Role We are seeking an Analytics Automation Lead to manage and grow a senior technical operations team responsible for building the analytics, automation, and quality systems that help User Safety and Risk Operations scale. This is a hands-on leadership role for a mission-oriented systems thinker: someone who can translate messy operational problems into practical, measurable solutions; guide senior technical and analytical ICs (Independent Contributors); prioritize across competing needs;, and build durable infrastructure and reusable capabilities that improve the performance of multiple operational teams. You will lead work across workflow automation, operational health analytics, quality and evaluation systems, emerging-risk signal infrastructure, dashboards and reporting, and data flywheel feedback loops.You will help determine where automation can meaningfully improve speed, consistency, and scalability, and where human judgment and strong quality controls must remain central. The right person is highly technical for an operations role, deeply comfortable with ambiguity, and fluent in using AI tools to improve real workflows. Success in this role means building systems that make safety operations faster, more reliable, more measurable, and more scalable without losing the human judgment required for sensitive user-safety decisions. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office.