In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Saral Jain, SVP of Engineering at Snapchat, the last independent social platform operating at global scale, with 956 million monthly active users closing in on the one billion mark and a community that opens the app more than 30 times a day.
Saral joined Snap nine years ago, right around the IPO, after nearly a decade leading engineering teams at Amazon Web Services, and today leads all engineering for Snapchat, spanning product experiences, multi-cloud infrastructure, and the company's machine learning and generative AI platforms.
What you'll learn:
How Snap lets designers and product managers ship production code, with an AI agent running the first review pass on 90% of code within 5 minutes
What Casper is: the AI teammate any team at Snap can invoke from Slack or Jira to build a working prototype from a conversation
How Snap turned company-wide AI adoption into business impact after early prototypes were being built and thrown away
How lean startup squads mix engineers, designers, and data scientists to launch zero-to-one bets inside a mature platform
Key takeaways:
Quality control does not have to slow down who gets to ship, it has to change what reviews the work first
Widespread AI adoption is not the same as business impact, and the gap between the two is where most AI investment is being wasted right now
Small, cross-functional teams with blurred roles can move faster than traditional org structures, even inside a billion-user company
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