Technical Program Manager, AI Performance

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world.

About the role

Figma seeks an AI-Native Performance TPM to own performance prevention, diagnostics, and safe rollout for both our flagship products and next-gen AI features. This platform-level role spans desktop, browser, and mobile; requires deep experience with performance testing (load, stress, endurance, interference), observability, and incident response. You’ll partner across Product, Platform, Performance Program, and Product Support. This is a full-time role that can be held from one of our US hubs or remotely in the United States.

Responsibilities

• Own horizontal, high-visibility performance programs spanning:
  • Flagship product performance (load times, FPS, memory) and AI features (model inference latency, throughput, cost, and reliability)
  • Desktop, browser, native mobile (React Native / WebView), and WASM contexts
  • Cross-org programs: observability/telemetry, regression prevention (performance CI), cross-functional performance forum, SEV mitigation, safe rollout of AI capabilities, and CE Planning (customer engineering / enterprise readiness)

Requirements

• 5+ years in performance engineering, performance TPM, platform TPM, or SRE with hands-on experience shipping performance programs for SaaS products
• Demonstrated experience with load, stress, performance, or scalability testing and new-build comparisons
• Deep familiarity with web performance (FCP, LCP), rendering/FPS, WASM memory, mobile profiling (Xcode Instruments, Android Profiler)
• CI/CD and test automation experience: integrating performance tests into pipelines
• Distributed systems, cloud infra (AWS), autoscaling, and capacity planning
• Hands-on prior work with LLMs, prompt engineering, or agent platforms

Nice to have

• Experience with MLops or LLMs: inference latency tradeoffs, batching, caching, etc.
• Observability stack: Datadog / Sentry / RUM
• Background as a performance engineer (not just TPM) with code or test harness contributions
• Experience with large enterprise Planning / customer load tests
• Familiarity with real-time collaborative systems and GPU/WASM performance constraints

Benefits

• Competitive package including health, dental, and vision coverage
• Retirement benefits with company contributions
• Parental leave and reproductive or family planning support
• Mental health and wellness benefits
• Paid time off, including sick leave, holidays, and flexible PTO (subject to manager approval)
• Company recharge days
• Cell phone and home internet reimbursements
• Lifestyle spending accounts
• Sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles
• Equity to employees

Pay

Annual Base Salary Range: $185,000—$317,000 USD. Job level and actual compensation will be decided based on factors including individual qualifications, market demands, and specific work location.