Technical Program Manager - AI Performance

• Holding interviews in an accessible location
• Enabling closed captioning on video conferencing
• Ensuring all written communication be compatible with screen readers
• Changing the mode or format of interviews

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.

• 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., Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma's compensation and benefits are subject to change and may be modified in the future.

Annual Base Salary Range:

$185,000-$317,000 USD

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. If you're excited to shape the future of design and collaboration, join us! 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)