About the role
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! Figma's platform helps teams bring ideas to life — and Data Science is central to how we measure, improve, and scale it. We're on a mission to make data self-serve for every Figmate: moving from a world where every data question requires filing a request to a DS or DE, to one where anyone can ask a question in plain language and get a trustworthy answer in minutes. We're hiring Figma's first dedicated Technical Program Manager for Data Science to own that mission — driving our multi-phase Self-Serve Analytics program from semantic layer expansion through the Figma Data Assistant, while building the operational foundation for a growing DS org. 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: Own end-to-end program delivery for Figma's Self-Serve Analytics initiative that includes semantic layer expansion, Slack bot launch, automated eval framework, and the Figma Data Assistant Coordinate delivery across Data Engineering, DS ICs, Security, IT, and business stakeholders (Sales, Product, Finance, Research) to expand self-serve data coverage and drive adoption Lead the governance and security work stream: work with Security and IT on LLM data access policies, PII guardrails, access controls, and LLM provider approvals Drive adoption and change management — build champion networks, run training programs, and meet Figmates where they work (Slack, Notion) to shift from request-based to self-serve data culture Build and maintain DS org operations: planning cycles, headcount tracking, onboarding programs, and team rhythms for a growing org Own program-level success metrics: % of data questions answered via self-serve, time-to-insight, DS ad-hoc request volume reduction Work closely with peer TPMs & Data Scientists (AI, Infra, Performance) to coordinate on overlapping platform programs and shared data infrastructure needs We'd love to hear from you if you have: 5+ years of technical program management experience (or equivalent) driving data infrastructure, analytics platform, or data democratization programs Hands-on experience with modern data stacks: you're comfortable discussing semantic layers, data catalogs, BI tooling (Hex, Sigma), and AI-powered query interfaces (Cortex Analyst, RAG) at a program level A track record of driving adoption — not just shipping internal tools, but changing behavior across technical and non-technical audiences through change management, enablement, and champion programs Strong cross-functional program delivery: planning, dependency management, stakeholder alignment across deeply distributed teams While it's not required, it's an added plus if you also have: Hands-on familiarity with dbt, Snowflake Semantic Views, Acryl, Dagster, or similar data engineering tooling Experience building or scaling eval frameworks for AI-generated outputs (golden SQL, accuracy dashboards, regression detection) Background in data-driven product analytics or developer tools — understanding of how DS ICs work with PMs and EMs and driving alignment on