Figma is hiring a
Manager, Software Engineering

Logo of Figma

Figma

πŸ’΅ $250k-$350k
πŸ“Remote - United States

Summary

Join Figma's team of passionate people on a mission to make design accessible to all. We're building our first dedicated ML Infrastructure team from the ground up to help develop and launch new AI capabilities across Figma’s products.

Requirements

  • 3+ years managing an engineering team of at least 5 people
  • 6+ years overall industry experience building and scaling distributed systems and infrastructure components as a leader and/or individual contributor
  • Experience managing Staff+ engineers with 10+ years of experience
  • Experiencing building large-scale online systems and infrastructure to support ML workflows, like training & serving
  • Experience collaborating with ML engineers to understand their requirements and ship systems that accelerate their productivity

Responsibilities

  • Manage, support and develop a team of engineers who design and build scalable services to power Figma’s infrastructure
  • Design infrastructure to train, deploy, and serve models at scale
  • Partner directly with ML/AI leaders, engineers, and researchers to build internal tools for model development and experimentation
  • Combine industry best practices and a first-principles approach to design and build ML infrastructure
  • Evangelize best practices throughout the engineering team to keep code quality high
  • Partner with engineering leadership to set strategy, priorities, and mission for teams and projects
  • Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
  • Grow your career in an engaged and creative engineering community

Preferred Qualifications

  • Hands-on work across the entire ML development workflow, including training, deployment, and serving
  • Experience starting or joining an early-stage ML infra team or sub-team
  • Experience working on models supporting generative AI use cases and/or LLMs

Benefits

  • Health insurance
  • Retirement benefits
  • Paid time off
  • Remote work, flexible hours
  • Life and disability insurance
  • Bonuses and incentives
  • Professional development opportunities
  • Wellness programs
  • Family and parental leave

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