PLAY PODCASTS
91 - How to Become an AI PM, Moats in AI with Guillaume Boniface-Chang (ex-Synthesia, ex-Google)

91 - How to Become an AI PM, Moats in AI with Guillaume Boniface-Chang (ex-Synthesia, ex-Google)

Last week, we sat down with Guillaume Boniface-Ch…

Product&Growth Show

December 2, 202439m 55s

Audio is streamed directly from the publisher (feeds.soundcloud.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

Last week, we sat down with Guillaume Boniface-Chang, formerly of Synthesia and Google Search, to discuss the role of a Product Manager in AI-first companies, moats in AI, and more. Topics covered: - Synthesia: From Building New Technology to Finding Product-Market Fit - What Differentiates AI PMs from Conventional Software PMs? The Role of a Research PM - Synthesia’s Product Process - What’s the Moat in AI? - Why Positioning Is Important - Why Scaling Compute Isn’t the Answer to LLM Challenges - How to Stay on Top of the AI Hype - Why Leave Google to Join a Startup? - Why Developing a Personal Thesis Is Important for PMs - How to Become an AI Product Manager - Advice for Junior PMs Follow Guillaume: Twitter: https://x.com/guillaume_boni Linkedin: https://www.linkedin.com/in/guillaume-bonifacechang/