Have you ever wondered how many hours you spend each week searching for files, tabs, links, or half-written ideas scattered across your apps? It’s a well-known frustration, and it’s the focus of today’s conversation with Dropbox VP Engineering, Jos Clemm. Josh has spent 20 years building products built around scale, personalization, and clarity, and he brings that mix of experience to Dropbox’s evolution into AI and knowledge management.
In this episode, Josh shares stories from his time at LinkedIn and Uber, including the surprise Krispy Kreme promotion that took down Uber Eats around the world and sparked a major rethinking of architecture and resilience. That experience shaped his belief that chaos often teaches the most. It also forms the basis for why he sees AI proficiency as a leadership requirement and not a trend.
You’ll hear how Dropbox tackles internal experimentation, why context rot and work waste are real problems within companies, and why the empty chat box often creates more fear than opportunity.
Josh walks through the reasoning behind it Dropbox Dasha standalone AI-powered knowledge layer that connects all your cloud apps, understands their content, and makes searches sharper and faster. He explains why context-aware AI is the next step, how Dash builds knowledge graphs for apps, and why the future of AI may look less like single-player workflows and more like tools that are part of the flow of teamwork.
It’s a broad conversation that moves from the history of tech to the practical steps behind building AI products that feel useful instead of overwhelming. So here’s the question underlying everything Josh shared. What would your day be like if your information finally made sense without you having to chase it down?
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