Назад
9 дней назад

Manager, Software Engineering - AI Infrastructure

258 000 - 376 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Software Engineering - AI Infrastructure (AI): Building foundational inference systems, AI gateways, metering systems, trace infrastructure, and model-hosting platforms for Figma’s AI products with an accent on reliability, observability, scalability, and technical leadership. Focus on growing engineering teams, defining technical strategy, and delivering production AI infrastructure that supports Figma Make and Figma Agent.

Location: San Francisco, CA; New York, NY; United States; Canada. The role can be held from a US hub or remotely in the United States, with in-person onboarding required.

Annual base salary: $258,000–$376,000 USD.

Company

Figma develops a collaborative design platform for brainstorming, prototyping, translating designs into code, and creating AI-powered products.

What you will do

  • Lead, grow, and support engineers building foundational infrastructure for Figma’s AI products.
  • Define technical strategy and manage day-to-day project execution with engineering and product leaders.
  • Hire, coach, and develop senior and staff engineers.
  • Engage deeply with technical decisions to deliver a reliable, observable, and scalable AI platform.
  • Build an inclusive team and culture through thoughtful hiring and team-building practices.

Requirements

  • 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in AI.
  • 8+ years of total engineering experience, ideally including staff-level individual contributor experience.
  • Experience working on production AI systems.
  • A proven track record of motivating, mentoring, and growing experienced AI engineering leads.
  • Demonstrated ability to learn new AI technologies quickly and build technical depth in a new domain.
  • Experience building and scaling engineering teams and organizational structures as they grow.

Nice to have

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

Culture & Benefits

  • Remote work is available in the United States, or the role can be held from a US hub.
  • Health, dental, and vision coverage, retirement benefits with company contributions, and paid time off.
  • Parental leave, reproductive and family planning support, and mental health and wellness benefits.
  • Paid sick leave, holidays, flexible PTO for eligible exempt employees, and possible recharge days.
  • Possible cell phone and home internet reimbursements, lifestyle spending accounts, and annual bonuses for eligible non-sales roles.
  • Inclusive workplace with equal employment opportunities and reasonable accommodation during hiring and employment.

Hiring process

  • Cameras must remain on during video interviews.
  • In-person onboarding is required if hired.
  • Candidates may submit up to five applications during any rolling 30-day period and may not reapply to the same role while an application is active or within 90 days after rejection.

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