Owns what an AI product does and why: use-case selection, model capability trade-offs, safety requirements and the roadmap. The translation layer between technical teams and the business.
The roles people usually hold before this one, and the skills each move needs. Every skill is tagged with its IoAI competency framework domain.
Analysts already sit between data and decisions; the step is owning the product those decisions belong to, not just the evidence.
You already run delivery; the step is technical literacy deep enough to make good product calls about models, data and risk.
Where this role usually leads next, and what each move takes.
Associate accreditation recognises exactly the competencies an AI Product Manager needs: an evidence-based assessment against the five domains, reviewed by the IoAI, renewed annually.
An evidence-based credential from the UK's professional body for AI carries further than another line on a CV. Apply when you are ready, or find your level first.
Your route into AI on one interactive map: pick your starting point and follow the lines.
Live UK roles with honest salary bands, including AI Product Manager openings when employers post them.
The five domains behind every skill on this page, and what they look like at each level.
