Director, Data Science

Figma•San Francisco, NY

3d•Remote

About The Position

The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and measurement across these areas. This org engages closely with AI Research and is a driving force behind our evals work and the future of product measurement at scale. With a charge to uplevel Figma’s use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma’s product development process. This team contributes to the company’s goals by collaborating closely with product managers, engineers, and our finance team to uncover new opportunities, identify inefficiencies and recommend improvements through data-driven insights. As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design, and Research leadership to embed data-driven thinking and modern AI-product measurement into how we build.

Requirements

8+ years of experience managing and leading high output Data Science teams, with at least 2 years managing other managers
7+ years of experience working in AI, Data Science, or a related field
Proven experience building or measuring AI products, ideally LLM-powered assistants, agents, chatbots, or copilots
Demonstrated expertise in statistical methods, experimentation, and/or forecasting, with the technical curiosity to learn and grow alongside your team
Ability to scale teams in high-growth environments, with a desire to build an inclusive and diverse culture

Nice To Haves

Experience owning 0 to 1 product areas

Responsibilities

Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement
Champion data quality, accessibility, and the democratization of data across the company
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
Shape how we measure AI products: evals, quality, and experimentation for LLM-powered assistants and agents in partnership with AI Research