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. Join us to keep Figma snappy quick!
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
- This is a specialist Platform TPM owning horizontal, high-visibility performance programs that span:
- 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), xfn performance forum, SEV mitigation, safe rollout of AI capabilities, and CE Planning (customer engineering / enterprise readiness)
We’d love to hear from you if you have:
- 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
While it’s not required, it’s an added plus if you also 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.