“The only real voyage of discovery consists not in seeking new landscapes, but in having new eyes.”
Marcel Proust
Photo by Rachel Wu
Op-Ed: McConaughey Didn't Prepare Me For This Tesseract
How juggling full-time work on Google AI and a full-time Stanford MBA taught me to view our tangled Education-Work future
5 years launching AI at Google: 10 Lessons in Navigating Ambiguity
My first day at Google HQ, I felt like a lost sock in a washing machine – tumbled, confused, and wondering how I got there. I'd gone from building AI products in the scrappy, ramen-fueled world of startups to the polished, multi-generational ecosystem of Google. Let's just say the learning curve was…steep. And while I can't promise you a magic formula for navigating the chaos, I can share some hilariously awkward missteps and hard-won wisdom from my five-year AI adventure.
From Research to Reality: A Practical Guide to Machine Translation in Customer Support
Thinking about using AI translation in your business? As part of a product incubation PM team, I led the global chat launches and rollouts to productionize and scale the ML models. I’m sharing this internal document, used to launch Google's global machine translation efforts, provides a no-nonsense guide to the technology's capabilities – and its inevitable imperfections.
Why Everyone Should Read AI Research Papers
In the world of AI product management, where the hype cycle spins faster than a GPU training the latest LLM, there's one practice I advocate strongly: read the research papers. Ask any software engineer, and they'll tell you they can distinguish a good AI PM from a bad one based solely on how they talk about the technology. If you're building AI-powered products, skeptical about AI, or just tired of the hype, this is essential.