The Woman Behind Gemini: How AI Is Actually Built and Who It Will Replace | Sneha Shah
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Who is Sneha Shah and what is her background in Amazon and Google?
What is up, The Entrepreneur? DNA, AI, AI. It's all anyone can talk about. This episode is gonna blow your mind with the guest I have today. Now, us, us little people, we're just getting into AI. This is a big topic for us, but for the big boys, the Amazons, the Googles, this has been around for a long time. And I have the Queen Bee who has been running this for these companies for the last two decades. She is the lead AI specialist for Google and Amazon. Sneha Shah is here. How are you?
Doing very well. Thank you, Justin, for having me and very honored to have that level of introduction.
Yeah. I just told you off camera, I was like, you're like the little ninja in the back pocket of all these big, big companies, and no one knows it's you like behind the scenes being the the magician you are. Now you're on your own thing, and we're gonna get to Hazel and everything that you're up to today. But I wanna take a step back. I think, you know, for for most of the common people, the lay people, as we say, we look at Amazon and we say, it does this shipping thing and we look at Google and we say it does this search engine optimization thing and we do it. We use it. I I order and well, my wife orders Amazon probably ten times a day, right? And, you know, now AI's in the search engine category.
But for the most part, Google over the last decade, I go to Google to go search Whatever I want. You are literally one of the founding members of how Amazon started Amazon delivery, correct?
Absolutely. I was part of the team that made same day delivery happen. This is the magic where you order the previous night and it shows up at your doorstep seven in the morning. Uh, we scaled it to about ten countries. Um and super proud of um the uh the scale that we've been able to build this app.
Yeah. I you know, it's funny because I just live here, I wasn't even aware Amazon had that many are you uh well not you, but are they a hundred percent in in most all countries at this point?
many, many countries at this point.
Now walk us through what it took to build something at that scale, right? Like it wasn't like, oh, I'm just gonna start in San Francisco. And I'm just gonna do Amazon San Francisco. Like, did you start with a state, a couple states? Do you just go national? And how did you build to scale with that?
Correct. So uh a lo a lot of people and a lot of team effort goes into this. I have to say, you know, many years went into building this. It is a combination of software, infrastructure, uh, as well as the the delivery team that powers this. But yes, we Amazon has the culture of starting small. You know, they they make it into a startup within uh the larger organization. Uh we started the delivery in Seattle, actually starts that small. Then you expand into bigger metros just to test the scale, and then you expand into countries. Uh, you know, some of the bigger challenges was countries like uh India. You know, the population is huge. Uh, so the volume is immense. Uh, you know, is there even the infrastructure to support it?
So uh it it's it is a gradual rollout. It took us many years, but we were pioneers in that. Even a Walmart uh took, you know, almost half a decade to follow on and be able to meet that. So huge endeavor.
Oh my gosh. Were you one of those like little pods that started it in Seattle or made built it out in Seattle and then let it expand? At what point were When did you exit that? I mean, I can only imagine that was all consuming for how long?
Yeah, yeah. I spent about five years building that. Um my my team is the one that that got to decide. uh you know will FedEx make this promise that we made our customer will UPS or USPS or whoever uh make that promise eventually we realized that Amazon should become the transportation itself like running the the the last mile delivery we call it like the the trucks or the the small cars to go and deliver it right and uh you know all of these different programs come together over many, many years to make that promise uh as as what we are today. Um and therefore, you know, yes, I saw it over five years, uh, grew it to like I said, you know, 10 countries.
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Chapters
8 chapters
1
Who is Sneha Shah and what is her background in Amazon and Google?
0:01–5:43
2
How did Amazon build and scale same‑day delivery across multiple countries?
5:43–9:58
3
What was the purpose of Cloud Spanner and how did it change global data storage?
9:58–14:43
4
How did Vertex AI evolve into Gemini Enterprise and what does it do?
14:43–19:41
5
Why is Amazon’s delivery model considered a losing model and where does Amazon make its money?
19:41–25:01
6
What is Hazel AI, how does it work for large system integrators, and who are its ideal customers?
25:01–30:08
7
Which jobs will AI replace, which new roles will emerge, and how should people level up?
30:08–34:09
8
Where is the AI industry headed in the next few years and what impact will it have on enterprises and society?
34:09–38:51
Speakers
1 identifiedMore from The Entrepreneur DNA
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