AI product managers who ship outcomes, not demos.

People who pick the right AI problems, define what good looks like, and get engineering, legal and the business pulling in the same direction.

01 · The role

What a strong hire does.

Most AI initiatives stall between the demo and the business case. AI product managers and business analysts close that gap: they choose use cases worth building, set measurable goals and manage the risks unique to AI.

  • Finding and prioritizing AI use cases with real value
  • Requirements that define quality and failure modes
  • Success metrics and evaluation plans
  • Risk, privacy and responsible-AI reviews
  • Coordinating engineering, data, legal and operations
  • Driving adoption after launch
02 · When to hire

Signs you need one now.

You have many AI ideas and no clear roadmap

Pilots succeed technically but never reach users

Engineering and the business define success differently

03 · How we vet

Interviewed by someone who has done the job.

What we test
  • Shipping AI or data products end to end
  • Turning business problems into measurable requirements
  • Understanding model limits, evaluation and cost
  • Responsible AI and governance judgment
  • Stakeholder management and communication
  • Change management and adoption

Every candidate is also rated Strong, Solid or Developing on our six dimensions. Only those rated Strong on all six reach you. See the full process →

Questions from the technical deep-dive
  • "Which AI idea did you kill, and why?"
  • "How did you define 'good enough' before launch?"
  • "What changed in the business after it shipped?"
04 · How to engage

The right model for this role.

Recommended

Contract-to-hire or direct hire

Product roles shape strategy over time, so most clients bring them in-house.

Every placement

30-day replacement

If a placement doesn't work out in the first 30 days, we replace them at no extra fee.

To start

Free scoping call

30 minutes, then a written role brief within 48 hours. No fee until a candidate starts.

05 · FAQ

Questions we hear most.

What does an AI product manager do that a regular PM doesn't?

They manage uncertainty unique to AI: probabilistic outputs, quality that has to be measured, costs that scale with usage, and risks around privacy and fairness. They also know enough about models to make trade-offs with engineers.

Do you place AI business analysts too?

Yes. AI business analysts document processes, gather requirements and measure impact for AI and automation projects. We vet them on the same six dimensions.

Contract-to-hire or direct hire?

Product roles shape strategy over time, so most clients choose contract-to-hire or direct hire. We recommend a model in your role brief.

Hiring AI product managers? Let's scope it.

30 minutes, no cost, and you'll leave with a sharper role brief whether you hire through us or not.

Book a role-scoping call