Manager, Software Engineering - Data Platform at Figma

<div class="content-intro"><p>Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!</p></div><p class="font-claude-response-body break-words whitespace-normal">Figma is a data-driven organization, and Data Platform builds the foundation that makes that possible. The platform powers everything from core business metrics and product analytics to the applied AI and experimentation systems that teams across the company rely on to build and make decisions. 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.</p> <p class="font-claude-response-body break-words whitespace-normal">This is a full time role that can be held from one of our US hubs or remotely in the United States.</p> <h4>What you’ll do at Figma:</h4> <ul> <li class="font-claude-response-body whitespace-normal break-words pl-2">Lead and grow a team of engineers building and operating Figma's data platform, owning delivery, technical direction, and team health</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Set the roadmap and technical strategy for your sub area, and provide hands on technical leadership where the team needs it</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Drive the reliability, scalability, and forward strategy of the platform as adoption grows across the engineering and product organization</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Hire, grow, and coach engineers and tech leads, raising the bar and building a healthy, inclusive, high-performing team</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Partner with Data Science, Product, Finance, and Engineering to identify the highest-leverage priorities and drive alignment</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Make sound build versus buy decisions, including evaluating and managing platform vendors where it makes sense</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Keep delivery predictable while balancing near-term execution with long-term platform investment</li> </ul> <div class="section page-centered"> <h4>We'd love to hear from you if you have:</h4> <ul> <li class="font-claude-response-body whitespace-normal break-words pl-2">3+ years managing engineers, including senior ICs or tech leads, with a track record of building and scaling high-performing teams</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Demonstrated experience building and scaling data platform or data infrastructure systems in a production, online environment</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">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</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Strong partnership mentality and the ability to manage multiple cross-functional stakeholder groups such as Data Science, Product, Finance, and Engineering</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Ability to set technical direction, drive alignment, and prioritize clearly under ambiguity, paired with strong written communication</li> </ul> <h4>While it's not required, it's an added plus if you also have:</h4> <ul> <li data-section-id="oi7iva" data-start="712" data-end="824">Expertise in large-scale data processing systems, including batch, streaming, or applied AI and ML workloads</li> <li data-section-id="oi7iva" data-start="712" data-end="824">Familiarity with experimentation or feature flagging platforms</li> <li data-section-id="oi7iva" data-start="712" data-end="824">A track record of evaluating and managing vendor relationships</li> <li data-section-id=&qu

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