Manager, Software Engineering - AI ObservabilityActive$376K

The opportunity

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.

What you'll do

  • Lead and grow a 6 engineer team responsible for the reliability, scalability,: and evolution of Figma's observability and AI observability platforms.

  • Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality.

  • Own Figma's core observability stack, including platforms like Datadog,: ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces.

  • Set the technical strategy for the instrumentation standards, libraries,: agents, and operators that monitor services across the company.

  • Explore and ship AI-driven approaches to anomaly detection, root cause: analysis, signal correlation, and operational automation.

  • Partner across infrastructure, product engineering, finance, and security to: give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows.

What they're looking for

  • Coach and develop engineers through career growth, feedback, and technical: leadership, building a culture of ownership and high-quality execution.
  • + years of experience leading and growing engineering teams in: infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale.
  • A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team.
  • Hands-on depth in observability, AI systems telemetry, or both, whether that: means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products.