Note: The job is a remote job and is open to candidates in USA. Figma is growing its team of passionate creatives and builders on a mission to make design accessible to all. The role involves leading a team to build and operate AI developer workflows and cloud agent platforms, ensuring high productivity and reliability across engineering processes.
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
Skills
- 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
Benefits
- Equity to employees
- Health, dental & vision
- Retirement with company contribution
- Parental leave & reproductive or family planning support
- Mental health & wellness benefits
- Generous PTO
- Company recharge days
- A learning & development stipend
- A work from home stipend
- Cell phone reimbursement
- Sales incentive pay for most sales roles
- An annual bonus plan for eligible non-sales roles
Company Overview
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