[Hiring] Manager, Software Engineering - Data Platform @Figma

Role Description

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. In this role, you'll lead engineers across Data Platform through their next phase of scale, setting technical direction, growing the team, and partnering broadly across the company.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you’ll do at Figma:

• Lead and grow a team of engineers building and operating Figma's data platform, owning delivery, technical direction, and team health.
• Set the roadmap and technical strategy for your sub area, and provide hands-on technical leadership where the team needs it.
• Drive the reliability, scalability, and forward strategy of the platform as adoption grows across the engineering and product organization.
• Hire, grow, and coach engineers and tech leads, raising the bar and building a healthy, inclusive, high-performing team.
• Partner with Data Science, Product, Finance, and Engineering to identify the highest-leverage priorities and drive alignment.
• Make sound build versus buy decisions, including evaluating and managing platform vendors where it makes sense.
• Keep delivery predictable while balancing near-term execution with long-term platform investment.

Qualifications

• 3+ years managing engineers, including senior ICs or tech leads, with a track record of building and scaling high-performing teams.
• Demonstrated experience building and scaling data platform or data infrastructure systems in a production, online environment.
• A strong software engineering background with senior or staff-level technical depth before moving into management, and enough current depth to set direct technical direction.
• Strong partnership mentality and the ability to manage multiple cross-functional stakeholder groups such as Data Science, Product, Finance, and Engineering.
• Ability to set technical direction, drive alignment, and prioritize clearly under ambiguity, paired with strong written communication.

Requirements

• Expertise in large-scale data processing systems, such as batch, streaming, or applied AI and ML workloads (preferred but not required).
• Experience with experimentation or feature flagging platforms (preferred but not required).
• Experience evaluating and managing vendors (preferred but not required).
• Experience growing tech leads and hiring at pace (preferred but not required).

Benefits

• Equity to employees.
• Competitive package of additional benefits, including health, dental, and vision coverage.
• Retirement benefits with company contributions.
• Parental leave and reproductive or family planning support.
• Mental health and wellness benefits.
• Paid time off, including paid sick leave, holidays, and other leave benefits.
• Employer-provided paid flexible PTO in addition to flexible paid sick leave.
• Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts.
• Sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles.