Posted 12h ago

Figma Posted 30+ days ago
Manager, Software Engineering - DevEx AI Tools
Location
San Francisco
Contract
Permanent
Full-time
Salary
$258–376k
Gross per year
Experience
3+ years
Lead level
Job summary
Responsibilities
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.
- 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…
- 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…
- Partner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption
What they're looking for
- 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…
- 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…
- 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
Tech stack
Read the full job posting
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