Manager, Software Engineering - AI Infrastructure
- On-site
- Full-time
- Manager
- Posted 15 days ago
- Listed here until Nov 17, 2026
Applications are completed on the employer's own site.
Summary
Lead and manage a team of engineers building foundational infrastructure for AI products while defining technical strategy and scaling the organization.
About this role
Figma
Manager, Software Engineering - AI Infrastructure
San Francisco, CA +2Full-time
Checked 3h ago
Posted 19 Oct 2026 on Figma's careers page
What the interview will test
Engineering Manager interviews are usually assessed on
- Leadership & Influence
- Stakeholder Communication
- Prioritization & Trade-offs
- Conflict Resolution
- Talent Assessment & Hiring
- Execution & Roadmapping
Practicing for this role builds your session around these skills, with this posting's own requirements folded in.
What you'd do
- Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products.
- Partner with engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution.
- Hire, coach, and develop senior and staff engineers to scale the team.
- Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency.
- Build an inclusive team and culture through thoughtful team-building and hiring practices.
What they're looking for
- 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space.
- 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor.
- Experience working on production AI systems.
- A proven track record of motivating, mentoring, and growing experienced AI engineering leads.
- Demonstrated experience learning new AI technologies quickly building technical depth in a new domain.
- Experience building and scaling engineering teams and org structure as they grow.
Nice to have
- Experience building AI agents, agent harnesses/loops, or LLM/agent tooling platforms.
- Experience building high-scale production infrastructure (e.g., traffic/inference systems, metering, anti-abuse and billing systems).
- A background in adjacent platform domains, like recommendation systems or networking.
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Apply on Figma's site
Skills named in this posting
- AI Infrastructure
- Production AI Systems
- Engineering Management
- Team Scaling
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