Lessons in product leadership and AI strategy from Glean, Google, Amazon, and Slack | Tamar Yehoshua (Product at Glean, ex-Google and Slack)

Tamar Yehoshua is the president of product and technology at Glean. 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. She also led product and engineering teams at Google, working on search, identity, and privacy, and at A9.com, an Amazon company. Tamar has served on the board of directors for RetailMeNot, ServiceNow, Snyk, and Yext. In our conversation, we discuss:• Why you don’t need to be a well-run company to win• The impact of AI on product management and the future of work• How to build strong cross-functional relationships, especially with engineers• Lessons learned from working with leaders like Jeff Bezos and Stewart Butterfield• Strategies for staying ahead in a rapidly evolving tech landscape• Much more—Brought to you by:• Explo—Embed customer-facing analytics in your product• Sprig⁠⁠—Build products for people, not data points• Sidebar—Accelerate your career by surrounding yourself with extraordinary peers—Find the transcript and show notes at: https://www.lennysnewsletter.com/p/you-dont-need-to-be-a-well-run-company-to-win-tamar-yehoshua—Where to find Tamar Yehoshua:• X: https://x.com/TYehoshua• LinkedIn: https://www.linkedin.com/in/tamar-yehoshua-886217/• Newsletter: https://tamaryehoshua.substack.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Tamar’s background(02:09) Key advice for career success(06:54) Understanding people and motivations(09:33) The importance of impact(11:20) Navigating company chaos(18:40) Career planning: a different perspective(26:22) Lessons from industry leaders(37:59) Building stronger cross-functional relationships(42:00) Streamlining OKR reviews with async methods(45:26) Why you shouldn’t worry so much about m