Note: The job is a remote job and is open to candidates in USA. Figma is a design and collaboration platform that helps teams bring ideas to life and work together in real time. The Manager, Software Engineering - Data Platform will lead and grow engineering teams, set technical strategy, and oversee the reliability and scalability of Figma's data platform. The role also partners with cross-functional stakeholders, manages vendor decisions, and develops engineering talent.

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 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

Skills

• * 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
• * Expertise in large-scale data processing systems, including batch, streaming, or applied AI and ML workloads
• * Familiarity with experimentation or feature flagging platforms
• * A track record of evaluating and managing vendor relationships
• * A demonstrated ability to develop tech leads and scale hiring at pace

Benefits

• Equity to employees
• Health, dental, and vision coverage
• Retirement benefits with company contributions
• Parental leave
• Reproductive or family planning support
• Mental health and wellness benefits
• Paid time off
• Paid sick leave
• Holidays
• Other leave benefits in compliance with applicable federal, state, and local laws
• Employer-provided paid flexible PTO for exempt employees
• Flexible paid sick leave for exempt employees
• Company recharge days
• Cell phone and home internet reimbursements
• Lifestyle spending accounts
• Sales incentive compensation for most sales roles
• Annual bonus plan for eligible non-sales roles

Company Overview

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