Product Manager, AI Platform

Figma Figma · Enterprise · Canada +1 · Product

Product Manager for Figma's AI Platform, focusing on the 'Make' space which powers code generation, editing, previewing, and deployment. The role involves defining platform strategy, driving AI-first product development, and enabling collaboration between developers, non-technical builders, and AI agents. Key responsibilities include strategy for agent infrastructure, eval systems, code generation, execution environments, and deployment systems, balancing feature velocity with platform health.

What you'd actually do

  1. Define and drive the developer platform strategy for Figma Make: how code is generated, edited, previewed, and published, and how Make works with real, production-scale codebases (e.g. code execution/runtimes, preview environments, deployments, observability, and extensibility surfaces)
  2. Ensure Figma Make stays at the forefront of AI innovation by creating and executing its agent infrastructure (e.g. Claude Code or Opencode or similar) and eval system strategies
  3. Translate Figma’s AI agent roadmaps into clear platform requirements that enable scale, reliability, and extensibility
  4. Lead complex technical decision-making across code generation, execution environments, agentic workflows, and deployment systems
  5. Balance rapid feature velocity with long-term platform health, ensuring Make’s systems are performant, observable, and resilient

Skills

Required

  • 7+ years of product management experience working on highly technical products
  • Proven experience shipping developer tools, infrastructure products, or AI-powered technical systems
  • Strong technical depth: you can go toe-to-toe with engineers on architecture tradeoffs and system design
  • Clear systems thinking: you understand how complex components interact and can improve the whole, not just the parts
  • A track record of driving strategy and execution across ambiguous, fast-moving product areas

Nice to have

  • Experience building or designing web-based applications or developer-facing platforms
  • Experience working on AI agent systems, code generation tools, or programmable interfaces
  • Personal experience building and deploying web products (side projects, startups, or open-source work)
  • Familiarity with modern frontend frameworks, deployment pipelines, or cloud infrastructure
  • Experience scaling platform capabilities across multiple product teams

What the JD emphasized

  • deeply technical
  • developer tooling
  • systems thinking
  • invisible infrastructure
  • highly technical products
  • shipping developer tools, infrastructure products, or AI-powered technical systems
  • Strong technical depth
  • Clear systems thinking
  • driving strategy and execution across ambiguous, fast-moving product areas

Other signals

  • AI-first product development
  • agent infrastructure
  • eval system strategies
  • code generation
  • execution environments
  • agentic workflows
  • deployment systems