Assume the model needs a 20% precision improvement in 2 weeks to 1 month and you have 8 to 10 contractors. How would you approach it, what data would you use, and how would you leverage the team?

"I expected a PM interview, but both rounds felt way more like deep ML and post-training screens, with a weirdly competitive vibe and very little context on what success looked like. The role itself sounded kind of insane in scope, like product, engineering, data science, contractor management, and project execution all rolled into one person. The second round was a technical case about improving model precision with a contractor team, and it felt like he had decided pretty quickly because the call ended early. I got a polite rejection saying I was good at what I do but they were looking for something different, and honestly by then I already had a lot of red flags about the setup."