How to Build an AI Co-Pilot to Ace Your PM Interviews | Ben Erez (ex-Meta)
Use Ben's proven product sense template to create your own AI interview co-pilot. Plus try his advanced version that feels like a "calibrated interviewer that's available 24/7"
Dear subscribers,
Today, I want to share a new episode with Ben Erez.
Ben is a former meta PM who has helped hundreds of people land great jobs. One of the most unique things that Ben has built is an AI co-pilot that his students say feels like having a "calibrated interviewer that's available 24/7." I got him to show me exactly how to build this AI co-pilot using his proven templates and prompts.
Watch now on YouTube, Apple, and Spotify.
Ben and I talked about:
(00:00) The current state of the PM job market
(02:07) The exact structure of the product sense interview
(08:58) How to build your AI interview co-pilot step-by-step
(12:36) Live demo: AI co-pilot walking through a Meta interview question
(13:33) Why Ben designed the AI to be the candidate, not the interviewer
(25:23) How to prioritize the right user segments and problems to solve
(32:13) The biggest mistakes candidates make when challenged by interviewers
This episode covers how to build a simple AI co-pilot based on Ben’s free product sense template. Check out Ben’s advanced interview AI co-pilot for help prepping Meta-style product sense and analytical thinking interviews.
🎙️ Coming up next on Behind the Craft
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All 100% free, subscribe if you like these practical, hands-on tutorials 🙂
Top 10 takeaways I learned from this episode
Find your candidate-market fit. Companies like Vercel get 3,000+ applications for each role. So instead of casting a wide net, target specific roles that match your background like "L7 AI trust and safety product lead."
Treat product sense interviews like a game with clear rules. Most candidates fail because they treat it like a casual conversation. Instead, follow a strict framework of motivation → segmentation → problems → solutions and manage your time.
Spend 70% of interview time on users and problems, not solutions. The solution phase should be around 10 minutes in a 35-minute interview. Interviewers want to see how you think through strategy and prioritization.
Build a simple AI interview copilot using Projects. Set up a ChatGPT or Claude project with some questions from Lewis Lin's question bank, Ben’s product sense post for Lenny, and his product sense template below with step by step guidance: