Engineering Manager, AI Infrastructure | Figma | US Remote

Figma’s AI Infrastructure team builds the foundational inference systems at the core of its AI products. The team keeps products like Figma Make and Figma Agent reliable and observable, and able to use the latest cutting-edge models. It owns critical production services, including the AI gateway, metering systems, and trace infrastructure, as well as the strategy for hosting first-party models. We’re looking for a hands-on engineering leader to support and grow the team, define and execute its technical strategy, and work with teams across engineering to build best-in-class AI features.

Key Responsibilities

• Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products
• Partner with engineering and product leaders across Figma to define the team’s technical strategy and manage day-to-day project execution
• Hire, coach, and develop senior and staff engineers to scale the team
• Engage deeply with technical details and decisions as needed to help the team deliver a robust AI platform with urgency
• Build an inclusive team and culture through thoughtful team-building and hiring practices

Requirements

• 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 staff engineer level as an individual contributor
• Experience working on production AI systems
• Proven track record of motivating, mentoring, and growing experienced AI engineering leads
• Experience learning new AI technologies quickly and building technical depth in a new domain
• Experience building and scaling engineering teams and org structure as they grow

Skills

Technical Skills

• Production AI systems and inference infrastructure
• Engineering management and team scaling
• Technical strategy and execution
• Learning new AI technologies quickly

Soft Skills

• Mentoring and coaching
• Cross-functional partnership with engineering and product leaders
• Inclusive team building
• Hiring and talent development

Nice to Have

• Experience building AI agents, agent harnesses or loops, or LLM and agent tooling platforms
• Experience building high-scale production infrastructure, such as traffic and inference systems, metering, anti-abuse, and billing systems
• Background in adjacent platform domains, such as recommendation systems or networking

Benefits

• Equity
• Health, dental, and vision coverage
• Retirement benefits with company contributions
• Parental leave and reproductive or family planning support
• Mental health and wellness benefits
• Paid time off, flexible PTO for exempt employees, paid sick leave, and holidays
• Additional benefits that may include company recharge days, cell phone and home internet reimbursements, and lifestyle spending accounts
• Annual bonus plan for eligible non-sales roles