CEOInterviews.AI
Start App
Try: AI strategy tariffs earnings guidance layoffs interest rates growth

Tony Gentilcore

Co-Founder & Head of Product Engineering, Glean

Search every verified Tony Gentilcore interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Tony Gentilcore, co-founder and head of product engineering at Glean, appeared at the company's Glean:GO 2026 conference in August 2026, where he discussed the company's approach to AI cost management and model selection. He described Glean's auto-routing feature as "spend aware," comparing its cost-reduction behavior to a phone's low-power mode, and stated that the company's business model improves when tokens "do more work" rather than when more tokens are consumed. He also expressed optimism about open-source models, saying their inference costs are "order of magnitude" cheaper than those of premium models. In a July 2026 interview, Gentilcore discussed the "SaaSpocalypse," comparing it to an asteroid that wiped out the dinosaurs but allowed birds to thrive, and argued that outcome-based pricing models would not survive, predicting a drift back toward per-seat pricing. He also said that the most productive individuals could "run unicorn companies" while less productive people remain where they are today, and emphasized the importance of "high agency" in hiring. During the interview, he noted that his main concern for Glean is not competition but the inability to get past initial hurdles in security, connectivity, or system integration during pilot phases.

Recent appearances

  • Glean:GO 2026 Keynote

    LIVE: Watch the Glean:GO morning keynote to see how enterprise context and intelligence are transforming the way work gets done. Join the virtual event for more: https://glean-it.com/GO2026 00:00 Conference Opening and Welcome 06:11 Keynote Introduction: AI Progress and Enterprise Impact 11:51 Glean Founder and CEO, Arvind Jain - Welcome and the Challenge of Enterprise AI Context 17:02 Glean's Context Engine, AI Platform, Memory, Model Choice, and Cost Efficiency 23:41 Glean Tau 25:12 Proactive AI Demo: Interactive Dashboards, Team Chat, and Independent Agents 33:14 Glean Transform: Identify…

    Watch on YouTube ↗

  • Tony Gentilcore - Glean, the $7.2B Startup Sam Altman Warned Investors About

    Earlier this year, the "SaaSpocalypse" wiped out something like $2 trillion of SaaS market cap in a matter of weeks — so I sat down with Tony Gentilcore, co-founder of Glean and formerly one of the minds behind Google Search and Chrome, to figure out what's actually happening to software in the agent era. We get into a lot: why Tony thinks outcome-based pricing (the model Sierra and Decagon are famous for) won't survive, and why companies will drift back toward per-seat. Why the "no Chinese models" rule every enterprise swears by tends to evaporate the moment finance sees the token bill — and…

    Watch on YouTube ↗

  • How Glean became a Work AI leader: Focus, moats, and metrics with Co-Founder Tony Gentilcore

    Behind the scenes of how Glean went from “enterprise search” to a $200M+ ARR work AI platform, Co-Founder and Engineering Leader, Tony Gentilcore, and Head of India R&D, Garvit Juniwal, unpack the real playbook for building enduring enterprise AI products and companies. Learn how they navigated platform shifts from search to assistants to agents, and why Glean’s context graph and pure-play enterprise focus became its moat. What you’ll learn: • How Glean evolved from enterprise search to a work AI platform with assistants and agents grounded in retrieval-augmented generation and context graph…

    Watch on YouTube ↗

  • Glean & Lanai Co-Founders on Making Winning Enterprise AI Investments

    The first is Tony Gentilcore from Glean—your company's private, AI-powered Google for everything from Slack to Salesforce.

    Watch on YouTube ↗

Other executives at Glean

The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →