Technical Program Manager, AI Performance

2 hours, 12 minutes ago
Full-time
Senior
Project and Program Management
Figma

Figma

Figma provides a collaborative web application for interface design that enables users to seamlessly design, prototype, and gather feedback in real time, while also offering additional offline capabilities through desktop applications for macOS and Win...

Internet Software & Services
1K-5K
Founded 2012
$333M raised

Description

  • Own horizontal, high-visibility performance programs across Figma’s flagship products and next-generation AI features.
  • Drive performance prevention, diagnostics, and safe rollout strategies for product changes and AI capabilities.
  • Lead performance efforts across desktop, browser, native mobile, and WASM environments.
  • Oversee observability and telemetry initiatives to detect and diagnose performance issues.
  • Build and improve regression prevention through performance CI and related test automation.
  • Coordinate cross-functional performance forums and partner with Product, Platform, Product Support, and other teams.
  • Support SEV mitigation and incident response for performance-related issues.
  • Contribute to capacity planning, enterprise readiness, and customer engineering planning for performance-sensitive releases.
  • Partner on testing and rollout of AI capabilities to ensure reliability, latency, and cost targets are met.

Requirements

  • 5+ years of experience in performance engineering, performance TPM, platform TPM, or SRE for SaaS products.
  • Hands-on experience shipping performance programs and conducting load, stress, endurance, interference, or scalability testing.
  • Deep familiarity with web performance metrics such as FCP and LCP, rendering/FPS, WASM memory, and mobile profiling tools like Xcode Instruments and Android Profiler.
  • Experience integrating performance tests into CI/CD pipelines and test automation workflows.
  • Knowledge of distributed systems, AWS cloud infrastructure, autoscaling, and capacity planning.
  • Hands-on experience with LLMs, prompt engineering, or agent platforms.
  • Preferred experience with MLops and LLM inference tradeoffs such as batching and caching.
  • Preferred experience with observability tools such as Datadog, Sentry, or RUM.
  • Preferred background as a performance engineer with coding or test harness contributions.
  • Preferred experience with enterprise planning, customer load tests, real-time collaborative systems, or GPU/WASM performance constraints.

Benefits

  • Annual base salary range of $185,000 to $317,000 USD, depending on location and experience.
  • Equity package.
  • Health, dental, and vision insurance.
  • Retirement plan with company contribution.
  • Parental leave and reproductive or family planning support.
  • Mental health and wellness benefits.
  • Generous PTO and company recharge days.
  • Learning and development stipend, work-from-home stipend, and cell phone reimbursement.

Interested in this position?

Apply directly on the company website

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