Manager, Software Engineering - Machine Learning Infrastructure

Figma - San Francisco, CA

Full-time - Manager

Remote - San Francisco, CA

Professional, Scientific, and Technical Services

About the position

The Manager of Software Engineering for Machine Learning Infrastructure at Figma will lead the development of a dedicated ML Infrastructure team. This role focuses on building and managing scalable services that support the deployment and serving of machine learning models, while also creating tools that enhance model development and experimentation. The position emphasizes collaboration with ML/AI leaders and engineers to ensure high-quality infrastructure that accelerates productivity and fosters a positive work environment.

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.

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
• Experience 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.

Nice-to-haves

• 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
• Dental insurance
• Vision insurance
• Retirement with company contribution
• Parental leave
• Reproductive or family planning support
• Mental health & wellness benefits
• Generous PTO
• Company recharge days
• Learning & development stipend
• Work from home stipend
• Cell phone reimbursement