Manager, Software Engineering - Machine Learning Infrastructure

Figma is building its first dedicated ML Infrastructure team from the ground up to help develop and launch new AI capabilities across Figma's products. As a Manager of Software Engineering for Machine Learning Infrastructure, you will be building and leading the team that owns the core infrastructure to serve and deploy models efficiently, as well as world-class tooling that enables quick iteration on models. You will combine industry best practices and a first-principles approach to design and build ML infrastructure that will improve Figma's design and collaboration tool.

This role involves managing and growing a diverse team of engineers, designing scalable infrastructure for training, deploying, and serving models, and partnering with ML/AI leaders, engineers, and researchers. You'll be responsible for establishing best practices, setting strategy and priorities, and fostering a positive work environment.

Key responsibilities include:

• Managing and supporting a team of at least 5 engineers
• Designing and building ML infrastructure for model training, deployment, and serving
• Collaborating with ML engineers to understand their requirements and accelerate productivity
• Evangelizing best practices for high code quality
• Setting strategy and priorities for teams and projects
• Building and driving diversity and inclusion initiatives

The ideal candidate should have:

• 3+ years managing an engineering team of at least 5 people
• 6+ years overall industry experience in building and scaling distributed systems
• Experience managing Staff+ engineers with 10+ years of experience
• Experience with large-scale online systems and ML workflows
• Strong collaboration skills with ML engineers

Additional beneficial experience includes hands-on work across the ML development workflow, experience with early-stage ML infrastructure teams, and work on generative AI and LLM models.

Figma offers a competitive compensation package, including equity, health benefits, retirement contributions, parental leave, mental health support, and various other perks. The company values diversity and is committed to creating an inclusive work environment.