Product Manager, AI Platform

Figma is a company dedicated to making design accessible to all, and they are seeking a deeply technical Product Manager to lead the Make Platform space. This role involves defining the developer platform strategy for Figma Make, ensuring the platform stays at the forefront of AI innovation, and engaging directly with developers to bring their requirements into the strategy.

Responsibilities:

• 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)
• 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
• Translate Figma’s AI agent roadmaps into clear platform requirements that enable scale, reliability, and extensibility
• Lead complex technical decision-making across code generation, execution environments, agentic workflows, and deployment systems
• Balance rapid feature velocity with long-term platform health, ensuring Make’s systems are performant, observable, and resilient
• Engage directly with developers and technical customers and bring their requirements into the strategy
• Ship zero-to-one platform capabilities that unlock new product surfaces and enable GA milestones

Requirements:

• 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
• 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