I lead AI-first product delivery end to end: discovery, evaluation, prompts, guardrails, telemetry and launch, using Claude, Cursor, Lovable and Bolt. Ex-founder (Wocal, £2.7M pre-money), currently Founder & CPO at Co-Ride and fractional CPO for founders across the UK, US and Europe.
AI PM vs TRADITIONAL PM
TRADITIONAL PM
AI PRODUCT MANAGER
A longer take: AI Product Manager vs Traditional PM: what actually changes.
THE SKEPTIC'S QUESTION
Fair question, and I hear it weekly. My honest answer: the title is new, the work is not. Every PM I know who ships AI features has, by necessity, learnt to own model choice, prompts, evals and telemetry. Whether their business card says "AI PM" or "Senior PM" is a branding choice.
Where the role is genuinely different: the ratio of time spent on prototyping, evaluation and guardrails. In a traditional PM week I might spend 10% on prototyping. In an AI PM week it's 40%, because I can, and because eval quality is now a product KPI.
So yes, it's real. And no, you don't need to hire an "AI PM" if your existing product team has picked up the tools. What you do need is someone accountable for the AI product surface: its accuracy, its cost per query, and its failure modes. That accountability is the job.
CAREER EXPERIENCE
See how this experience plays out today via AI Product Manager work and fractional CPO engagements.
VENTURES & PROJECTS
Each venture is scored 0-10 across five dimensions relevant to product leadership.
I take on a small number of fractional CPO engagements and teach the AI product MVP course.
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Every stage from first idea to first revenue, mapped end to end.
Contract, fractional and advisory engagements — current availability.
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