Manager, Software Engineering - DevEx AI ToolsActive$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 team of engineers responsible for building and operating: Figma's AI developer workflows and the cloud agent platform that powers them

  • Own the technical strategy and roadmap for AI Developer Experience, spanning: sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows

  • Hire and scale the team: establishing team culture, execution cadence, and operational processes from the ground up

  • Drive the reliability, observability, and scalability of our cloud agent: platform, ensuring it meets production-grade standards as adoption grows across the engineering organization

  • Partner with product engineering, security, infrastructure, and DevEx teams: to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption

  • Evaluate and integrate emerging AI tools, models, and agent frameworks,: making strategic bets on which capabilities to build versus buy

What they're looking for

  • Establish evaluation frameworks to measure the quality, cost, and impact of: AI-generated code and agentic workflows across the organization
  • Coach and mentor engineers through career development, performance feedback,: and technical leadership, fostering a culture of ownership, speed, and high-quality execution
  • + years of experience managing infrastructure, platform, or developer: experience engineering teams, with a track record of scaling teams and delivering high-performing systems
  • Strong software engineering background, with Staff-level or above technical: depth before moving into management with deep understanding of distributed systems, platform architecture, and the operational challenges of running production infrastructure at scale