Arvind Jain
Co-founder & CEO, Glean. On 7 shows, 8 appearances, plus 1 compilation re-air not counted. The Shows tab opens the full record on each.
founderexecutiveengineer@jainarvind ↗LinkedIn ↗glean.com ↗
Arvind Jain is the co-founder and CEO of Glean, an enterprise AI search platform. Previously, he co-founded Rubrik and served as a Distinguished Engineer at Google working on Search, Maps, and YouTube.
7shows
8appearances
102statements
11resolved
4supported
5contradicted
36%fully supported
42said about them ↓ Everything Arvind Jain said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Jain: Nvidia is heavily investing in US open-source AI model development
“There's a lot of motivated parties that actually want to promote, like, including NVIDIA, for example, You know, they're putting a lot of investment in promoting, like, you know, development of great open source models in the US.”
Jain: the model layer is definitely commoditizing for most enterprise use cases
“90% or greater of use cases cannot be fully handled by many, many different models, including open source models. So there's definitely there's definitely commoditization from that perspective. In fact, like, you know, we are clean that's actually one of our c…”
Jain: Generative AI will not fizzle out like robotic process automation
“It's fundamental, it's different, and the, and that's why, like, you know, I don't think, you know, we, this technology is going to fizzle out. And it's not like, you know, you don't have to be, like, a financial expert or, you know, like, sort of a deep think…”
Jain: AI intelligence layer may capture half of enterprise value
“I know we do think that the intelligence layer is actually going to be a pretty thick one. Maybe, you know, it's, it will capture half of the enterprise value.”
Jain: Enterprise search requires transformer models due to scarce user signals
“On the web, even if you don't have good semantic understanding, there is so much that you're going to learn from people's behavior because, you know, you have a billion people, you know, coming and using your product. In the enterprise, you don't have that lux…”
Jain: Enterprises Care More About Process Automation Than Personal AI Assistants
“Businesses are actually a lot more, more interested in, not in that, but in actually thinking about how they can transform their company with AI, how they can take specific business processes, you know, where they're spending a lot of money and how, how do the…”
Jain: Startups should run PLG and enterprise sales simultaneously
“So the right recipe for me, like, you know, if I had a choice, I would actually start both the motions simultaneously. Like, I don't want to actually Say that, look, you know, for the first three years, I'm, I will actually focus, you know on just being PLG an…”
Arvind Jain: AI agents are shifting from RAG to process automation
“Agents are now getting a lot more powerful. They are, You know, they're getting they're sort of shifting from sort of basic two step rack kind of application flow where you take a task, you find some information, and then you make AI work on it to generate the…”
Arvind Jain: Enterprise software cannot build eBay-style network effects
“In enterprises, you know, it's sort of hard to explore. It's hard to actually you know, have, like, Network effects like, you know, the kind that you have with eBay. Like, you know, enterprise software doesn't work that way.”
Jain: Big Tech safety nets and zero consequences for failure breed complacency
“Cause sometimes I feel like, you know, at Google, I was not feeling challenged anymore. Cause you know, we're such a successful company and we could always, you know, take big problems, you know, and work on them. And it didn't matter if they failed. Cause lik…”
Jain: He avoided early feedback from business people to protect his idea
“In fact, the more people I would talk to, like, you know, especially people who are, Who have business acumen, like they would actually turn, turn me farther from this idea. So I actually chose not to talk to too many people.”
Jain: Glean skipped TAM analysis entirely because the market did not exist
“Like, you know, sometimes we sort of talk to our team about it, so we didn't do any TAM analysis. Like, how do you do TAM? There's no product in the market. Nobody actually is even solving this problem.”
Jain: Avoid using friends as early design partners; prioritize cold outreach instead
“I didn't actually go and, like, you know, hit my friends, you know, and say, like, hey, can you actually, you know, take this product and give me feedback? Because I felt like, you know, they'll all be very nice to me. And they will do it like, you know, even …”
Jain: First-time founders optimize for entrepreneurial success; repeat founders focus on problems
“For a first time founder, like, you know, they're actually trying to, their goal is actually You know, succeed as an entrepreneur. They want to actually learn that, you know, that art. Sort of like, you know, it's personal in that sense. You know, for me, that…”
Jain: Mental surrender pushes the true startup failure rate closer to 99%
“Like, you hear these stats that nine out of 10 startups fail, and I like to tell them that, like, look, no, it's not nine out of 10, it's 99 out of hundred, because you didn't count all the first 90 startups that the founder killed themselves, like, you know, …”
Jain: Information seeking is the world's largest AI application today
“That's like the largest application or use case for AI in the world today. Is in fact information seeking and question answering.”
Jain: Majority of current enterprise AI spend is focused on coding
“I think the majority of the AI spend right now is on coding.”
Jain: Massive AI-generated codebases become unmaintainable over time
“When you write code, for example, with AI you know, we, you know, you can write like, you know, a million lines of code but it becomes incredibly hard to actually maintain it and understand it and manage it over time.”
Jain: Glean never proactively raised funds after its first round
“So first, actually, we never actually went out to race you know, except for our first round of the company, you know, we always had somebody come in, and it was a relationship that got built over some time, and kind of became the de facto, like, you know, that…”
Jain: Open-source developers cannot build AI models without massive upfront funding
“They require a lot of upfront investment, which is not open source friendly in many ways. A lot of open source software has been skunk works, like developers is getting no funding associated with them and they still get something built. They couldn't build mod…”
Jain: Most enterprise employees use ChatGPT and Claude daily
“Everybody in your company is probably using ChatGBD and Claude and other tools on a daily basis.”
Jain: Glean abandoned internal model fine-tuning for pre-built models
“Some of our fine tuning work, building, building models for a specific use case within our product, like, you know, didn't really pan out for us. And ultimately the choice was that, you know, we can go with already built models, whether they are small open sou…”
Jain: CIOs should sign shorter AI contracts as winners remain unclear
“What we tell people is that I think the winners are yet to be identified and so experiment with more vendors, do shorter term contracts.”
The other half of the tape: Arvind Jain's own voice is left out of every number here. Other people bring the name up 39 times in 8 episodes across the shows. 3 statements on the record name them. every mention, with the transcript →
Who brings them up most Pablo Srugo 12Didi Das 10Saam Motamedi 4Mamoon Hamid 4AJ Tennant 4Soham Mazumdar 2Jay Madheswaran 2Brad Gerstner 1
Statements about Arvind Jain, by other people (3)
Das: Early startups should focus solely on whether customers love the product
“At any given point, you have one question you're trying to answer, and you want to go get that answer. That's all that you need to make something work. Don't overthink it. The one question we have right now is not any of that shit. All we need to know is do cu…”
Hamid: Kleiner Perkins co-led Glean's early round at $35M post-money
“We'll be back to Arvind Glean. We did it as a co-led it with Lightspeed at 35 post. And Arvind is a G. You know, he started Rubrik. He's like one of the, you know, Google fellow type of person. He raised a lot. He's like fifteen million at 35 post, so gave up …”
Every mention by year
tap a year for its mentions
A Product Market Fit Show 16
20VC 12
Sourcery 10
BG2 Pod 1
2026 12 mentions in 2 episodes 6 per episode
2025 14 mentions in 2 episodes 7 per episode
2024 13 mentions in 4 episodes 3 per episode
- AJ Tennant: How to Build a Sales Machine and Where Most Go Wrong | E2118 · 20VC with Harry Stebbings
- Mamoon Hamid: AI - Where Value Accrues, Startups vs Incumbents & Scaling Laws | E1217 · 20VC with Harry Stebbings
- Saam Motamedi: Why Series B Won’t Make Money & Why $1M ARR is a BS Milestone for Series A | E1177 · 20VC with Harry Stebbings
- Ep12. Tech Stocks vs the Rest; AI VC Bubble, Calcium CT Scan | BG2 with Bill Gurley & Brad Gerstner · Bg2 Pod
- every mention in 2024, scene by scene →
One line per show, most statements first. The link opens Arvind's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
| 20VCLEDGER | Co-founder & CEO, Glean | 1 | 43 | 33% 3/9 | full record on 20VC → |
 NO PRIORSLEDGER | Co-founder & CEO, Glean | 1 +1 | 21 | 0% 0/1 | full record on No Priors → |
| PRODUCT MARKET FITLEDGER | Co-founder & CEO, Glean | 2 | 19 | — | full record on A Product Market Fit Show → |
| BG2LEDGER | Co-founder & CEO, Glean | 1 | 10 | — | full record on BG2 Pod → |
 MADLEDGER | Co-founder & CEO, Glean | 1 | 7 | 100% 1/1 | full record on the MAD Podcast → |
 SAASTRLEDGER | Co-founder & CEO, Glean | 1 | 1 | — | full record on the Official SaaStr Podcast → |
| SOURCERYLEDGER | Co-founder & CEO, Glean | 1 | 1 | — | full record on Sourcery → |