What does it really take to build AI that transforms the modern workplace? In this episode of Revenue Renegades, we dive deep into the future of organizational knowledge, enterprise search, and agent tooling. Tamar shares firsthand lessons from scaling products at Google, Slack, and Glean, unpacking why building robust search and AI-driven agents for enterprises is so challenging—and why most attempts fall short. She explores how product management evolves in the world of non-deterministic AI, why customer-centric iteration beats flashy features, and the importance of flexibility and communication as the industry evolves at breakneck speed.
About the Guest
Tamar Yehoshua
Former President R&D, Glean
Tamar Yehoshua was most recently the President of Product and Technology at Glean, the AI-powered work assistant, where she now serves as an advisor. Prior to joining Glean, Tamar was Chief Product Officer at Slack, where she led product, design, and research as the company scaled, including a 10x increase in revenue, its public listing, and an acquisition by Salesforce. Tamar also led product and engineering teams at Google, working on Search, Identity and Privacy, and at A9.com, an Amazon company. Additionally, she was a venture partner at IVP. Tamar has served on the board of directors for RetailMeNot, ServiceNow, Snyk, and Yext. She earned her BA in Mathematics from the University of Pennsylvania, and her Masters in Computer Science from The Hebrew University of Jerusalem.