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.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting remains available in Source & verification at the end.
What you'll do
- 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
What they're looking for
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- 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 requirements
- Strong bias to action, self-motivation and curiosity, with a desire to bring people together in a fast-paced environment
About Figma
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