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No Priors Ep. 115 | With Glean Founder and CEO Arvind Jain

Arvind Jain joins Sarah and Elad on this episode of No Priors. Arvind is the founder and CEO of Glean, an AI-powered enterprise search platform. He previously co-founded Rubrik and spent over a decade as an engineering leader at Google.

Elad GilhostArvind JainguestSarah Guohost

May 15, 202531mWatch on YouTube ↗

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EPISODE INFO

Released: May 15, 2025
Duration: 31m
Channel: No Priors
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

Arvind Jain joins Sarah and Elad on this episode of No Priors. Arvind is the founder and CEO of Glean, an AI-powered enterprise search platform. He previously co-founded Rubrik and spent over a decade as an engineering leader at Google. In this episode, Arvind shares how LLMs are transforming enterprise search, why most tools in the space have failed, and the opportunity to build apps powered by internal knowledge. He discusses how much customization is still needed on top of foundation models, what made building Glean uniquely challenging compared to Arvind’s previous ventures, and what’s next for the company. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @jainarvind Show Notes: 0:00 Introduction 0:58 How LLMs are changing search 2:05 Building out Glean’s platform 5:09 Why most search companies failed 8:41 Out of the box vs. bespoke models 10:26 Creating apps on top of internal knowledge 15:34 User behaviors & insights 19:11 Unique challenges of building Glean 21:51 Product-led growth vs. enterprise sales 25:00 Succeeding in traditionally bad markets 27:08 What Glean is excited to build next

SPEAKERS

Elad Gil
host
Arvind Jain
guest
Sarah Guo
host
Narrator
other

EPISODE SUMMARY

In this episode of No Priors, featuring Elad Gil and Arvind Jain, No Priors Ep. 115 | With Glean Founder and CEO Arvind Jain explores Glean’s Arvind Jain on Reinventing Enterprise Search with AI Agents Arvind Jain, founder and CEO of Glean and former Google search leader, explains how large language models and transformers have fundamentally changed enterprise search from brittle keyword matching to deep semantic understanding.

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