Manager, Software Engineering - AI Infrastructure

Figma · San Francisco, CA • New York, NY • United States · Engineering · listed October 19, 2026

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The shape of it

Seniority
Manager
Experience asked
3–8 years
Where
Not stated
Stated pay
$258,000 – $376,000 USD
Requirements listed
6
Length
1,054 words

In the posting’s own words

The AI Infrastructure team builds the foundational inference systems that sit at the core of Figma’s AI products. Our team is responsible for ensuring products like Figma Make and Figma Agent are highly reliable, easily observable, and can seamlessly leverage the latest cutting-edge models. Our team owns critical production services like our AI gateway, metering systems, and trace infrastructure, as well as our strategy for hosting first-party models. This role is an opportunity to join a rapidly-growing team at the ground floor and directly contribute to our core AI platform.

What it asks for · 6

  • 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.

Also a plus

  • 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.

What the job covers

  • 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.

Tools and skills named

Product & design
  • Figma10×
Models & research
  • Inference2×
  • LLM
Ways of working
  • Mentorship

Words the posting leans on

  • engineering8×
  • experience8×
  • systems6×
  • platform5×
  • products5×
  • grow4×
  • infrastructure4×
  • technical4×
  • agent3×
  • build3×
  • design3×
  • excited3×
  • experience building3×
  • production3×
  • core2×
  • define2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched October 31, 2026 and last changed by Figma on October 27, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.