# Technical Program Manager, AI Performance

**Company**: Figma
**Location**: San Francisco, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $185,000-$317,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/figma/jobs/5837760004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_03054a92-22f

## Description

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.

Responsibilities:

- Own horizontal, high-visibility performance programs that span flagship product performance (load times, FPS, memory) and AI features (model inference latency, throughput, cost, and reliability)

- Work across desktop, browser, native mobile (React Native / WebView), and WASM contexts

- Lead 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)

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:

- Annual base salary range: $185,000-$317,000 USD

- Equity to employees

- 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

## Skills

### Required
- performance engineering
- performance TPM
- platform TPM
- SRE
- load testing
- stress testing
- observability
- incident response
- CI/CD
- test automation
- distributed systems
- cloud infra
- autoscaling
- capacity planning
- LLMs
- prompt engineering
- agent platforms

### Nice to have
- MLops
- Datadog
- Sentry
- RUM
- large enterprise Planning
- customer load tests
- real-time collaborative systems
- GPU/WASM performance constraints

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/figma/jobs/5837760004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)