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Figma’s CEO: Why AI makes design, craft, and quality the new moat for startups | Dylan Field

In this conversation, Dylan Field reflects on over a decade of leading Figma through transformational growth, product innovation, and unexpected challenges. From navigating the collapse of a major acquisition to scaling culture and embracing AI-driven design, he shares candid insights on leadership, resilience, and the evolving role of craftsmanship in technology.
After the failed Adobe acquisition, Dylan prioritized team morale with initiatives like the 'Detach' program, allowing employees space to reassess their paths. Figma sustained its high-performance culture by focusing on smart project selection, flat organizational structure, and continuous iteration. The expansion into products like FigJam and Figma Make emerged from mapping real user workflows, reducing complexity while meeting new collaboration needs. A core principle is minimizing time to value—removing blockers to accelerate user success. With AI, Figma Make enables rapid prototyping, though early missteps emphasized the need for rigorous QA in non-deterministic systems. Dylan stresses that craft and taste—developed through curiosity, cross-disciplinary learning, and reflection—are becoming critical differentiators. Rather than replacing designers, AI empowers generalists and elevates the importance of strong judgment and design leadership. As Figma evolves, Dylan remains focused on clarity, user feedback, and building tools that amplify human creativity.
08:42
08:42
The Detach program allowed employees to take three-month severance and reapply later, leading to meaningful career shifts.
09:13
09:13
Approach estimation challenges with curiosity and deeper understanding of the work.
15:00
15:00
Many important Figma products and features have emerged from Maker Week demos.
19:28
19:28
Leadership requires teaching others to create clarity through direct communication.
24:03
24:03
Mentorship should be a two-way street where both individuals grow through curiosity and open-minded exchange.
30:40
30:40
Going from one to two products is harder than going from two to N products
34:07
34:07
Founders should follow workflows, not just chase TAM
39:36
39:36
Removing blockers is as important as adding new features for user adoption
45:14
45:14
Figma Make enables users to turn ideas into working applications quickly using AI.
51:31
51:31
A research report placed Figma Make second in pairwise comparisons of outputs.
56:45
56:45
Getting good at evals is part of the solution to avoid AI product failures
57:47
57:47
Good enough is no longer sufficient in design.
59:55
59:55
Anyone can refine their taste through expanding viewpoints and reflection
1:08:52
1:08:52
Designers are expected to be future leaders in product development.
1:14:00
1:14:00
Top-notch craft and design are the keys to success
1:14:37
1:14:37
AI helps explore possibility spaces in fiction and law before professional consultation