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: Glean's largest customer holds over 1 billion internal documents
“One of our largest customers. They have more than one billion documents inside their company. Now hear this, you know, when Alain and I, you know, when we were working on search, At Google, you know, in 2004, the entire internet was actually one billion docume…”
Jain: Pre-SaaS enterprise search failed because turnkey products were impossible
“Most of the companies started in the pre-SaaS world, they failed because you could just couldn't build a turnkey product. But SaaS actually allowed you to actually build something, you know which is my insight.”
Jain: Models reason significantly better when data is pre-organized
“There is a good amount of, ah, work that you have to do and present the information, ah, to the model in some, you know, in some organized fashion. That's when they're going to actually do a much better job reading that information, reasoning over it, and givi…”
Jain: About 90% of enterprise knowledge is private within a company
“Most of the knowledge, I should say, like, 90% of the knowledge inside the company is private in some shape or form inside, within your company.”
Jain: Users adopted Glean search immediately but struggled with conversational Assistant
“Everybody has been trained over the last 20 years to actually type in, you know, one or two keywords, like Google has sort of taught us, you know, on what search can do. So with search, we never had a problem. Like, you know, we launched our product, we had, l…”
Jain: Glean faced nonexistent enterprise search budgets, unlike Rubrik
“In Rupert, we're an established market, like the budget, several dollars, and you had to actually replace an old technology with a new technology. Here we were in a market where we had no budgets. There was no concept of buying a search product in the enterpri…”
Jain: Enterprise search requires top-down sales because full-corpus indexing is expensive
“We cannot offer the product to one individual inside a company. Even one person, you know, their search needs require us to actually search over all the entire company's information for them. So it's expensive. You have to actually index, you know, all of your…”
Jain: Looking closely at market priors leads founders to kill their ideas
“The more you look at priors, the more you're going to actually, likely you're going to actually ultimately kill your own idea.”
Jain: Finding internal information inside Google was super hard
“Even at Google, like, it was a big joke, you know, always we had internally, like, you know, All of us were spending all of our time making it easy for people to find things, but not us internally at Google. It's super hard to find anything inside the company.”
Arvind Jain: Most enterprise AI use cases rely on closed models
“Today, the, for most customer use cases the companies are using the closed, closed models at the moment”
Arvind Jain: Glean evaluates new AI models within 30 minutes
“We need to have a way within, like, you know, 30 minutes to know how well it's going to do on our product, right? I mean, and you can do those things. You can actually build the right, you know, evaluation frameworks, things like that.”
Arvind Jain: Every worker will have a team of AI assistants
“And the future that I see with AI is that every person who works is going to have this amazing team of assistants, coworkers, and coaches around them that is going to actually make them a lot more effective.”
Jain: Rubrik tripled its engineering headcount without increasing total code output
“We actually tripled the size of the engineering team, but like, you know, still write, you know, the same amount of code.”
Jain: Prior enterprise search efforts, including Google's, failed to satisfy users
“Well, historically, like this is not a new problem, like helping employees find information at work. So there have been companies, you know, Google had a product too, and, but nobody really solved it in a way where somebody liked the product, somebody actually…”
Jain: Early investors offered to back him but rejected Glean's product idea
“There were investors who would tell me like, you know, that they would back me, you know, because I've experienced building a company before, but they didn't want to back, you know, the idea that I was working on.”
Jain: Software engineers spend one-third of their working time searching for information
“I know all these engineers, they're spending one third of their time just trying to find things.”
Jain: Founders should ignore the vitamin versus painkiller framework and just build
“And I think it's important, like it's important sometimes not to overanalyze and actually focus on the use end user and the problem and just go and solve it.”
Jain: Enterprise search startups require heavy upfront R&D and roughly 20 engineers
“Search requires a lot of R&D, lots of technology to be built. So we wanted to build a team of about 20 people and divide it into, like, you know, three different areas, you know, of our technology stack.”
Jain: Language models were originally built specifically to improve Google Search
“All of this research happened in Google. And LLMs were actually, or these language models were actually built, you know, with one purpose, which is to make search better, to make Google search better.”
Jain: ChatGPT turned workplace search from a vitamin into a painkiller
“And this is where, you know, the transition happened from the vitamin to the painkiller. When people saw that if only I had something like ChatGPT inside my company or all of my company knowledge, people realized that, whoa, like that, no, this is something I …”
Jain: Copying company data into multiple AI tools destroys data governance
“The governance is actually a big part internally. And so when you have these like tens of different AI tools coming into the company, all of them need to work with knowledge, your enterprise knowledge. And so if you start to just copy your enterprise knowledge…”
Jain: Glean combines ChatGPT, Claude, and Gemini into one product
“Today the way to think about Glean is that first, it's a super set of JetGPD, Cloud, Gemini, All of those combined into one product experience.”
Glean Used Transformers for Semantic Matching in Version One
“The version, one of our product actually already used transformers for semantic, you know, matching”
Glean Built Custom Enterprise Embeddings on Top of BERT
“We started with this BERT model that Google had put in open domain, which was trained on all of the internet's, you know, data and knowledge. And we would then take those models and then for every customer of ours, we'd actually build custom embeddings, you kn…”
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 → |