Senior Operations Analyst, User Safety & Risk OperationsPosted today$252K–$280K

The opportunity

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 translate real-world user and operational signals into timely decisions, practical interventions, and improvements to our products and systems.

What you'll do

  • Take ownership of ambiguous, high-priority safety and risk problems: define the problem, gather the right evidence, choose a practical path, drive execution, and close the loop.

  • Analyze structured and unstructured data, both quantitative and qualitative.: This may include user reports, case narratives, conversations, escalations, and operational metrics to identify patterns, risks, and the highest-leverage interventions.

  • Build and test lightweight workflows, tools, automations, and decision aids: that improve speed, quality, and consistency, then iterate based on real-world use.

  • Turn one-off insights and manual work into scalable operating mechanisms: without adding unnecessary process or complexity.

  • Lead sensitive investigations, incident response, or launch-readiness work,: including safety workflows, human review, escalation paths, partner coordination, and operational monitoring for product launches or cloud deployments.

  • Work directly with cross-functional and external partners to clarify: ownership, resolve operational gaps, and turn incomplete signals into clear recommendations and decisions.

What they're looking for

  • Measure whether the work is improving outcomes—such as quality, speed,: coverage, operator effort, or risk reduction—and adjust quickly when it is not.
  • Help junior operators build judgment and independence through coaching, calibration, and reusable tools.
  • Have 8+ years of experience in trust and safety operations, investigations,: incident response, product operations, technical program management, or another high-judgment, data-heavy operational field.
  • Have a track record as a scrappy generalist who can enter an unfamiliar: problem, learn quickly, and deliver with limited structure or support.