Tell me about a time you had to cut scope to ship faster.

"I had a warm intro, so the front of the process was pretty light: a recruiter logistics call and then a very casual hiring manager conversation. After that it got serious fast with a four-interview skills loop that was much more AI-specific than a normal PM process. The hardest parts were the rounds on LLM evals, high-stakes tool use, post-launch diagnosis, and designing for net-new form factors like smart glasses. The final step was a director-level interview plus a people and culture chat. The whole thing felt less like generic PM interviewing and more like, 'Can you ship useful AI in the real world even when the model is still unreliable?'"

"I got in through an internal referral, and the recruiter step was so lightweight that it barely felt like a real screen. The process after that was pretty thorough: one conversation with a hiring manager about my background, then another where I got a vague fine-tuning strategy prompt and turned it into a deck, then separate product sense and execution rounds before a big final loop. The most memorable part was the range of angles they tested, including abstract product sense cases, execution, GTM, engineering partnerships, legal and ethics, and standard PM behavioral work. I actually thought it was a good experience because the interviewers were generally engaged, the conversations felt real, and they were pretty good about articulating what each round was trying to assess. Compared with some other AI-company loops, this one felt much more structured and systematic."