
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/
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98 - Behind the $5B Fintech: Ivan Vasylchenko on Trade Republic’s Rise

97 – From Babbel to MyTutor: Building Edtech That Works, with Geoff Stead (Former CPO, Babbel & MyTutor)

96 - From Google to Mate Academy, VC-Backed Expansion for EdTechs with Roman Apostol

95 - From Product to Portfolio: Operator's Guide in Navigating Equity & Angel Investing with Mike Oliinyk, Montonio
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