Develop a strategy for OpenAI's fine-tuning capabilities using publicly available docs.

"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."