about / the story
About productinterview.com
A PM interview resource built by someone who has sat on both sides of the table, recalibrated for the year feasibility stopped being the constraint.
I'm Stephen Walker. I co-founded and run Klu.ai, an LLM evaluation and optimization platform, and I write Product Strategy, a newsletter read by product people from early-stage startups to enterprises. You can find more of my work at smw.ai. I've shipped products, hired PMs, run loops, and spoken about how AI reshapes product work at conferences like the EU CPO Conference and the GFK Summit. This site is what I wish candidates had walked in with.
Why I built this
Most interview prep is scraped from everywhere and averaged into the median. It teaches you to pass for a competent candidate, which is exactly the bar that no longer clears a loop. I kept seeing strong people fail rounds because the advice they studied was calibrated to a job that doesn't exist anymore, while their judgment never had a fair chance to show up in the format interviewers actually score. So I wrote the resource against the actual rubric interviewers score: the strong-hire bar, not the average answer.
What changed in 2026
For most of product management, the job lived at the intersection of viable, feasible, and usable. AI collapsed two of those. Almost anything is now feasible, and usability has a strong floor: you have to work to ship something genuinely hard to use. That leaves the two that still separate good PMs from great ones. Viable: is this a problem people and companies will pay to solve, in a market big enough to fund the work and turn a profit? Lovable: does it meet people where they work, anticipate what they need, and use the right interactions to get the job done, without being obnoxious about it? Every page here is written through that lens, because that's where loops are won and lost now.
How to use it
Start with the 2026 PM interview guide, then drill into the question bank by round, study the company guides for the loops you're facing, and use the frameworks for structure without sounding rehearsed. If you're interviewing for AI PM roles, the AI PM track covers evals, agents, model behavior, and the new build rounds.
Get in touch
Found something wrong, or want to tell me what your loop actually tested? Use the contact page. The feedback keeps this calibrated.