Manager, Software Engineering - DevEx AI Tools

Figma is growing its team of passionate creatives and builders on a mission to make design accessible to all. The Manager of Software Engineering for DevEx AI Tools will lead a team responsible for building AI-powered workflows and platforms, driving technical strategy, and enhancing the productivity of engineers across the organization.

Responsibilities:

• 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
• 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

Requirements:

• 3+ 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
• Demonstrated fluency with AI/ML systems, LLM-based workflows, or agent architectures - as a builder, not just a consumer - with the ability to reason about tradeoffs in nondeterministic systems
• Experience hiring, onboarding, and growing engineering teams in fast-paced, high-growth environments
• Ability to set technical direction, drive cross-functional alignment, and make sound architectural decisions while balancing speed of execution with long-term sustainability
• Direct experience building AI developer tooling, agent platforms, or AI-assisted engineering workflows
• Familiarity with agent frameworks such as Cursor, Claude Code, or similar background agent systems, including MCP (Model Context Protocol) integrations
• Experience with workflow orchestration platforms such as Temporal, n8n, or Tines for multi-stage automation
• Background in developer experience platforms including CI/CD systems, build tools (Bazel/Blaze), or large polyglot monorepo environments
• Experience building evaluation and quality frameworks for AI-generated outputs