Scaling developer experience across 1,000 engineers at Dropbox

About this episode

The episode discusses scaling developer experience at Dropbox with insights from Uma Namasivayam on productivity as a business problem and the role of AI.

Developer productivity is often framed as a tooling initiative or a morale issue. At scale, it’s a more complex socio-technical systems challenge that spans engineering foundations, leadership alignment, organizational structure, and culture. In this episode, Laura Tacho sits down with Uma Namasivayam, Senior Director, Engineering Productivity at Dropbox, to discuss how the company approaches developer experience across an organization of nearly 1,000 engineers. Uma explains why productivity must be treated as a business problem, how executive alignment enables sustained progress, and what it means to run developer experience like a product. The conversation also explores the intersection of AI and developer experience. Uma shares how Dropbox prepared its engineering systems to support AI adoption, why daily AI use depends more on habits than access, and how the company evaluates build-versus-buy decisions as AI tools struggle to scale in large environments. The episode concludes with a candid discussion of the open questions facing engineering leaders today: how to understand where AI-driven capacity actually goes, and how to connect improvements in developer experience to…

People in this episode

Host: Laura Tacho

Guest: Uma Namasivayam

Topics covered

• developer experience
• engineering productivity
• organizational culture
• AI adoption
• socio-technical systems

Keywords

• developer productivity
• engineering systems
• executive alignment
• AI tools
• business outcomes

Mentioned in this episode

Organizations: Dropbox, AI

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