AI Product Manager Recruitment

Not always. For AI-first platform roles, some clients now put AI product experience ahead of sector knowledge, because an industry can often be learned faster than hands-on AI experience. Sector depth still matters in heavily regulated settings, where the rules shape what the product can do. Being open on this point usually widens the shortlist.

We ask what they shipped, how they measured whether it worked and what happened when it did not. We separate what they designed themselves from what the engineers around them built. We also ask how they handled evaluation, edge cases and checking outputs before they reached users. People with real experience tend to answer with specifics.

Not usually, though many now build quick prototypes with AI coding assistants. That can speed up discovery and make conversations with engineers more concrete. The stronger candidates are clear that understanding the architecture, the data and the risks matters more than writing production code. We ask how they scope prototype work and what they would still hand to an engineer.

More companies are now hiring AI product managers permanently, having accepted that the need is not going away. Contract can still suit a defined piece of work, such as a pilot or a first proof of concept, where the longer-term shape of the team is unclear. If you are unsure which applies, we can talk it through before the search starts.

Clients can get in touch to discuss a brief, and candidates are welcome to register their interest. The quickest route is our contact page or a call to +44 203 397 4565, and one of our consultants will pick things up from there.