Snowflake CEO on Winning the AI Arms Race
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What is the current market turmoil and why does it matter for Snowflake?
I feel like we are in day two of the pandemic where we all knew something was wildly different, but we didn't quite know what.
Welcome back to the Mad Podcast. I'm your host, Matt Turk from Firstmark. We have a very special episode today with Sridhar Ramaswamy, the CEO of Snowflake, one of the most important public companies, not just in data and AI, but in technology in general. Before taking the helm at Snowflake in 2024, Sridhar had an incredible 15-year run at Google, where he was an early employee and then rose through the ranks to Lead ads and commerce. He then left to start Neva, an AI-driven search startup, which was acquired by Snowflake in 2023. This is a broad and deep episode where we discussed technical topics such as AI agents.
Years in three years, if you and I want auto insurance, we are going to go to some conversational interface and it's going to go to different sites. Come back to you with okay, here are your top four options. And the impact of iceberg. We started supporting iceberg as an open format. Our big aha moment with this was that we realized that it unlocked many, many things that were impossible for us. Open formats now have opened up a ton of new opportunities for us to participate in. in earlier stages of the data life cycle.
But also covered entrepreneurial lessons from Scherter's time at Neva and got a glimpse into how a world-class public company CEO thinks strategically about winning in one of the most exciting but also most competitive markets today. This
thing of becoming Snowflake CEO was very much an accident and a little bit of a happenstance that came together. There is such a thing as having too much money, even as a startup. Starting from zero is a gift, because every dollar you make after zero is money you
didn't have before. This episode is a special treat. Please enjoy this awesome conversation with Street R. Shreddhar, welcome. Hey Matt, great to be here. So first of all, a big thank you for uh taking time out of your hectic schedule to speak with us. Uh you are the CEO of one of the most important software companies in the world. Uh but it so happens that we're also recording this during a particularly tumultuous couple of days in public markets, so we appreciate it uh even more. Thank you for having me. I think tomorrow
Tumultuous is appropriate. I feel like uh we are in day two of the pandemic where we all knew something was wildly different, but we didn't quite know what. Yes. So it has that sort of uh something's big, but we don't quite know kind of feeling to it.
Yes. Here we still hoping that uh by the time this episode comes out, which will be uh in about a week from now, uh things will everything have gotten back to back to normal. Okay. Right. I I I will take that all day long. A very good place to start uh would be to talk about the recent evolution of Snowflake. So interestingly, asking around me, I think um people's mental model of Snowflake is still somewhat stuck around what Snowflake was at the time of its IPO, back in September 2020. Uh but there's been a a pretty remarkable evolution since. So can you uh help us? Update our priors and talk about that evolution from what it was to what it is today. Yeah. Snowflake.
and cloud centric view. of analytics. That was the origin of the company now twelve years ago. And the core thesis was actually quite simple. It is that in a cloud computing environment. You could scale storage and compute. And implicitly memory. independently. Now you think, come on, that's not a big observation. But if you go back to how computing has always been purchased. It's always been purchased as boxes, which has meant fixed trade offs between Compute power, memory, and storage. And if you didn't like any one aspect of these three dimensions, Generally that's too bad, you would wait some more years to do your next upgrade. Snowflake basically created an analytic product that used the near infinite scalability of cloud storage.
To create this amazing analytic platform. Ве і фінте тоді. Нью аналіз, діпер аналізис он сам.
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Chapters
6 chapters
1
What is the current market turmoil and why does it matter for Snowflake?
0:00–14:07
2
How did Snowflake evolve from its IPO to become an AI‑focused data cloud?
14:07–31:24
3
Why were financial‑services firms the first big adopters of Snowflake?
31:24–44:05
4
What exactly is the “AI Data Cloud” and how does it differ from traditional analytics?
44:05–58:42
5
How do Cortex Search and Cortex Analyst enable AI‑powered data queries?
58:42–1:05:22
6
In what ways did Sridhar’s experience at Google and Neeva shape Snowflake’s AI product vision?
1:05:22–1:23:34
Speakers
1 identifiedMore from The MAD Podcast with Matt Turck
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