91 - How to Become an AI PM, Moats in AI with Guillaume Boniface-Chang (ex-Synthesia, ex-Google)
Update: 2024-12-02
Description
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/
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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