Strategic Operations Lead, User Safety & Risk Operations

OpenAI OpenAI · AI Frontier · San Francisco, CA · User Operations

This role focuses on building and scaling operational capacity for new and evolving areas within User Safety & Risk Operations at OpenAI. The Strategic Operations Lead will define operating models, launch plans, and execution rhythms for new products and partnerships, ensuring clear ownership, monitoring, and escalation paths for safety and risk management. The role requires strong technical fluency, analytical skills, and the ability to coordinate across multiple teams to translate complex constraints into practical workflows.

What you'd actually do

  1. Lead strategic operational builds from ambiguous problem statement to implemented operating model, including scope, owners, workflows, milestones, risks, and success measures.
  2. Build launch and early-life operating models for complex partner deployments, including monitoring cadence, escalation paths, ownership maps, reporting expectations, and follow-up mechanisms.
  3. Translate technical, policy, safety, privacy, and operational constraints into practical workflows that teams can execute.
  4. Define how safety and risk signals should be monitored, reviewed, packaged, escalated, and tracked through resolution.
  5. Partner with senior leaders across USRO and cross-functional teams to translate business, product, safety, and operational needs into clear execution plans.

Skills

Required

  • 8+ years of experience in operations, strategy and operations, product operations, technical program management, trust and safety operations, risk operations, implementation or management consulting, or a related field.
  • Track record of leading complex, ambiguous work from problem framing through execution.
  • Strong technical fluency, including the ability to reason through data flows, system ownership, logs, dashboards, tooling gaps, and failure modes.
  • Strong data literacy, including experience using SQL, spreadsheets, dashboards, and metrics to analyze workflows, assess risk, identify gaps, and drive decision making.
  • Comfortable operating where data access, tooling, ownership, or policy thresholds are incomplete or changing.
  • Able to work closely with Product, Engineering, Data Science, and technical operations teams; ask the right questions; and translate technical constraints into operational requirements.
  • Pragmatic about sequencing: knows what must be ready for launch, what can be monitored before action is taken, and what needs to become durable over time.
  • AI-fluent, with a track record of using AI tools to move faster, improve quality, or create operational leverage.
  • Strong interpersonal judgment, with the ability to build trust across teams while keeping ownership, accountability, and escalation paths clear.
  • Implementation-oriented and comfortable building the workflow, not just defining the strategy.
  • Able to operate at a fast pace while staying organized, calm, and effective in high-ambiguity environments.
  • Tool-agnostic and resourceful, with a track record of quickly learning unfamiliar systems and building effective solutions with limited resources, including lightweight tools, AI-assisted workflows, dashboards, documentation, and process design.

Nice to have

  • Experience supporting cloud, enterprise, infrastructure, platform, or partner-hosted deployments.
  • Experience building launch-readiness or post-launch monitoring processes for complex technical programs.
  • Experience designing workflows that include escalation paths, QA, capacity planning, reporting, and long-term ownership transitions.
  • Experience in implementation-focused consulting, product operations, technical program management, or strategy and operations roles where success depended on execution, not only planning.
  • Experience prototyping lightweight tools, automations, dashboards, or workflow improvements using AI-assisted

What the JD emphasized

  • AI-fluent
  • AI tools