Technical Program Manager - Data

The shape of it

In the posting’s own words

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What it asks for · 4

• 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

Also a plus

• 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

What the job covers

• 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

Tools and skills named

Words the posting leans on

• data18×
• program11×
• self-serve6×
• analytics4×
• driving4×
• experience4×
• management4×
• platform4×
• semantic4×
• design3×
• excited3×
• mission3×
• product3×
• question3×
• security3×
• access2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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