Netflix is paying $900K for AI PMs. Meta is paying $1M+. Here's how to become one:

The real insight here isn’t “LLMs are bad at science” (that’s the obvious take). The deeper story is about what this reveals about the entire AI scaling paradigm and where the industry is actually headed. This paper finds high benchmark scores do not correlate with scientific

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Major cheat code in life: Stop consuming advice from people who aren't living the life you want. Miserable people give miserable advice. Broke people give broke advice. Stuck people tell you to stay stuck. Filter your inputs by their outputs.

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This is where those licensing deals get interesting…

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Over the past 3 months, I’ve used one AI prototyping tool the most: Figma Make. Here’s why: 1. Easiest for design to pick up With other AI prototyping tools, there’s a step of lossiness from the AI prototype to a designer’s Figma files. You have to use some sort of plugin to

This is epically bad for Meta. Meta built an optimization loop that treats scammers as premium customers. Meta’s systems detect fraud. When they’re 95%+ certain, they ban. When they’re 90% certain? They charge the scammer more money to keep running. They call it “penalty bids.”

50% day for you today? Good on you for at least going

What they don’t tell you: 90% of the jobs on LinkedIn aren’t actually hiring

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AI PM jobs pay really well, better than PM. The best time to start was 2023. The second best time is now.

Step 7: Ace the homework & interview You've done the work. Now you need to prove it in 45 minutes. Nail the homework Learn the interviews AI Product Sense, AI Technical Understanding 🔗 Guide:

Step 6: Snag interviews Applications alone won't cut it. Nail everything: Resume: Show your AI journey, quantify impact Cover letters: Connect the dots, short and sweet Network: Informational interviews turn into real ones Target companies: Product focus matters 🔗 Guide:

Step 5: Network strategically I'd guess > 80% of top AI PM jobs are filled through networking. Build relationships: Communities: Reddit, Twitter, LinkedIn Groups, GitHub Events: NeurIPS, ICML, AI Engineer Summit Connections: Informational interviews, mentorships Content: Blog,

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Step 4: Structure your portfolio Hiring managers spend 6 seconds on your resume. Your portfolio is where you make them stop. • Make it stand out: Use visuals, keep it concise • Connect to PM: Draw parallels to AI challenges • Make it discoverable: SEO, LinkedIn pinned

Step 3 - Gain hands-on experience You don't need to be an engineer. You need to ship something. Build something real with AI coding tools: Stage 1: Set up Cursor Stage 2: Build a basic app with AI-generated code Stage 3: Add auth and a marketing site Stage 4: Integrate Stripe

Step 2 - Take relevant courses People love to hate on courses but they work! a. Foundational: AI for everyone, elements of AI b. Intermediate: AI PM certificate, Karpathy's course c. Advanced: NLP specialization, CS230 by Andrew Ng 🔗 AI PM course:

Step 1 - Shape your content diet As Sergey Brin said, "you can't go a month without following AI news." So find your favorites. I recommend: YouTube: Karpathy, Wolfe, Isenberg, Dwarkesh Newsletters: The Batch, Superhuman, Nate Jones Twitter: Yuchen Jin, Dario Amodei, Jim Fan,

Here's everything you need to do to become an AI PM in 2026 (and potentially get an OpenAI $500K+ job):

Everyone’s treating this like another AI job post. Look closer. The Instagram co-founder who scaled to 1 billion users just signaled Anthropic’s biggest consumer bet yet. Mike Krieger has been at Anthropic for 18 months. During that time, he embedded almost all product resources

OpenAI is raising $100B at an $830B valuation the same week Morgan Stanley projects they’ll hit $200B in revenue by 2030. Let’s do the math on what investors are actually buying. At $830B valuation with $19B current annualized revenue, you’re paying 44x revenue for a company