Director, Data Science

About the Role

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.

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.

This role can be held from one of Figma's US hubs or remotely in the United States.

Responsibilities

• Lead, support, and grow a team of data scientists and data science managers 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
• 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

Qualifications

Minimum 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

Preferred Qualifications

• Experience owning 0 to 1 product areas

Interview & Application Rules

• Candidates are required to keep their cameras on during video interviews.
• If hired, you will be required to attend in-person onboarding.
• Candidates may submit up to 5 applications during any rolling 30-day period.
• Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.