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FigmaFigmaSan Francisco, CA

Manager, Software Engineering - Data Platform

Leads and scales an engineering organization responsible for Figma’s data platform, setting technical strategy, ensuring reliable infrastructure, and partnering across the company. Requires substantial engineering management experience and senior-level software or data infrastructure expertise.

258k – 376k/yr
Remote5+ YOEEngineering Management

About the role

Responsibilities

  • 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 the sub-area, providing hands-on technical leadership where needed.
  • Drive platform reliability, scalability, and long-term strategy as adoption grows across the engineering and product organization.
  • Hire, grow, and coach engineers and tech leads, building a healthy, inclusive, high-performing team.
  • Partner with Data Science, Product, Finance, and Engineering to identify priorities and drive alignment.
  • Make build-versus-buy decisions, including evaluating and managing platform vendors.
  • Balance predictable delivery with long-term platform investment.

Requirements

  • 3+ years managing engineers, including senior individual contributors or tech leads, with experience building and scaling high-performing teams.
  • Experience building and scaling data platform or data infrastructure systems in a production, online environment.
  • Strong software engineering background with senior- or staff-level technical depth before moving into management.
  • Sufficient current technical depth to set direct technical direction.
  • Strong partnership skills and the ability to manage multiple cross-functional stakeholder groups.
  • Ability to set technical direction, drive alignment, and prioritize clearly under ambiguity.
  • Strong written communication skills.

Nice-to-haves

  • Expertise in large-scale data processing systems, including batch, streaming, or applied AI and machine learning workloads.
  • Familiarity with experimentation or feature-flagging platforms.
  • Experience evaluating and managing vendor relationships.
  • Demonstrated ability to develop tech leads and scale hiring at pace.

Compensation and Benefits

  • Annual base salary range: $258,000–$376,000 USD.
  • Equity and benefits including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and family-planning support; mental health and wellness benefits; and paid time off.
  • Additional benefits may include recharge days, cell phone and home internet reimbursements, lifestyle spending accounts, and an annual bonus plan for eligible non-sales roles.

Skills

Data PlatformsData InfrastructureSoftware Engineeringbatch processingstreamingMachine Learningexperimentation platformsfeature flaggingVendor Managementtechnical strategy
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