Jay Parikh
EVP of CoreAI, Microsoft. On 1 show, 1 appearance. The Shows tab opens the full record on each.
executiveengineeroperatorinvestor@jayparikh ↗LinkedIn ↗microsoft.com ↗
Parikh previously spent over a decade as Global Head of Engineering at Facebook, overseeing infrastructure scaling to billions of users, and later served as CEO of Lacework. At Microsoft, he leads the CoreAI group focused on building agent architecture, developer tools, and AI platform infrastructure.
1shows
1appearances
22statements
1resolved
1supported
0contradicted
100%fully supported
Everything Jay Parikh said on any show that made the record, most notable first. Each card names its show and opens the statement there.
AI makes code an output and dramatically shortens software development lifecycles
“Writing code is not the long pole in the tent anymore, and code is an output now. It's not an input, and the half-life of the, as I will talk about, the typical software development life cycle or the product Development life cycle. The half-life of that is dra…”
AI prototyping velocity makes multi-year software engineering bets completely obsolete
“I think it is hard these days to take a bet that is multi-year at this point. Maybe not on the, I would say, Adams-level infrastructure, because those do still take a while, but if it's in, you know, in, in product, in software, because I don't know that it ne…”
Running competing technical bets in parallel resolves uncertainty and accelerates learning
“If I can do both and learn faster, versus do one, fail at it, and then do something else after that, and that takes me four months to figure that out, versus doing two in parallel, and I learn in two months what I would have done in four, that is like a trade …”
Parikh: Infrastructure teams must share fate and accountability with product teams
“If our part worked, and the product piece didn't work, then, like, we still failed. So, those teams had to be fused together, and it was sort of a shared fate. I had no tolerance for this, like, hey, just because you're in infra, you don't need to care about, …”
Steep technology inflections demand IC-led cultures rather than managerial hierarchies
“If you want to be able to really, like, accelerate through one of those steep technology inflections, The people who generally know the best about the technology are actually the ICs. So you have to, like, elevate them, you have to, like, protect them, you hav…”
Hyper-scale technology companies fundamentally cannot rely on third-party infrastructure vendors
“When you take some layer of your kind of core stack, and it's like outsourced to this vendor, and vendor, you know, could be great, but when I was at these companies that were, you know, Kind of N of one in terms of what they were doing scale wise. They weren'…”
Parikh pushed Zuckerberg to prioritize engineering efficiency over pure product features
“You know, I remember talking to Mark and Mark was like, yeah, we can, you know, we have money, so we should just build features and we should put all the engineers working on product. And I said, cool, but I'm going to work on efficiency because I'm not going …”
Dictating granular OKRs prevents engineering teams from thinking independently
“If you're, as an engineering leader, dictating, like, all of the 1051 OKRs for the team, then the team doesn't think on its own. So you've got to come with the right level of that abstraction of the strategy division, the North Star, or kind of maybe the Highe…”
Even multi-year engineering projects must show quantifiable weekly progress
“And you can have big, that type of products or projects that may take a year or two to actually materialize, but you need to demonstrate week over week progress, right? And that is going to be something that is objective, quantifiable, that you're looking at h…”
Operational engineering toil stems from a leadership culture of learned helplessness
“The cause actually is Having built an organization and a leadership that has an ethos of maybe learned helplessness, where, hey, I can't do that, or hey, we would fix that if we had more people, or I could do this if we could, you know, like there's a lot of t…”
Scaling organizations traverse their learning loops at slower speeds
“As an organization gets more people, as it gets more successful, it tends to be that, that, that circle, the diameter gets bigger, and you traverse that circle slower, right, and every kind of revolution around the circle is kind of one unit of learning, and t…”
Microsoft CoreAI tracks engineering focus time via internal quantitative dashboards
“I'd say there's like a set of data that needs to be collected, and it's what we did when I joined and we created this core AI team, right? Which is, first of all, get both qualitative and quantitative data in terms of what is going on in terms of like that pac…”
Executive edicts for earlier deadlines cannot build a durable speed culture
“And if you just say, get it all done on August 15th, you might get it done once or twice with that type of edict. It is not generally going to be a durable like behavior or like a culture that it gets stronger over time.”
Parikh demands teams escalate 24-hour blockers directly to him, bypassing managers
“If you get stuck for more than 24 hours in anything that you're doing, you call me, right? Because I don't want this to be like, oh, we have to talk to our manager who talks to their manager who then comes to me two weeks later.”
Facebook's infrastructure team controversially managed software up through the mobile stack
“At Facebook, the infrastructure team was not just the hardware. It was all of the software. And we actually went quite a bit up the stack to the end consumed, right? So The, a lot of the mobile stack even, in fact, was like run by the infrastructure team, righ…”
Assigning large teams to new external senior hires causes 'organ rejection'
“We oftentimes make such a tragic mistake. You go out there and spend all this time and money to hire great people, and then you're like, they want here, you know, here's like a team of X hundred people, you know, go for it. And then there's all sorts of like, …”
Microsoft CoreAI runs manager-free 'brain trusts' of individual contributors
“One of the things that I do at Microsoft is I have these brain trusts. And they're in different parts of our stack, and these brain trusts are formulated with, like, six to eight senior ICs, mid-level ICs only, and no managers, right?”
Parikh: Major bets must span multiple teams to find global maxima
“Generally speaking, they should be cross-functional in nature, because if it's just a single team with some discontinuous thing, they may be seeking a local maxima, but you may be closing off a global maxima. So I push to have these big bets span multiple team…”
Full-stack vertical integration drastically accelerates massive new product launch cycles
“So we could re-imagine an entire and launch an entire new experience to 1000 of millions of people, billions of In a shockingly short amount of time, because it was all vertically integrated, and everybody that like, built that was, like, employees, engineers …”
Parikh: Facebook scaled deployment from daily to continuous release cadence
“When I was at Facebook, when I joined, we did, which was like, really fast at the time. We used to ship The main core of Facebook once a day, and it was like a Herculean effort that, you know, most of the time went okay, but sometimes it didn't go okay, and, b…”
Small Microsoft CoreAI teams ship code multiple times per day
“We have teams now in Core AI and Microsoft that, you know, that I support, that I work with, that, Are shipping daily, sometimes multiple times a day, and, you know, some of this stuff is, like, newer products, so they don't have lots of tech debt and whatnot,…”
Off-the-shelf infrastructure could not match Facebook's massive scaling requirements
“When I got to Facebook, we weren't building our own data centers, we weren't building our own hardware, we weren't laying around subsea cables, and, you know, those types of things, but over the years, as we saw, one, kind of the scale that we needed to operat…”
One line per show, most statements first. The link opens Jay's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 IN DEPTHLEDGER | EVP of CoreAI, Microsoft | 1 | 22 | 100% 1/1 | full record on In Depth → |