Works with
Hire one when
- You have many AI ideas and no clear order
- Your AI project lacks a definition of done
- Leadership wants AI results they can measure
What they do
What an AI Product Manager does for you.
Find and rank the AI use cases worth building
Write specs with measurable success criteria
Plan releases in safe, testable steps
Work with engineers on quality and cost trade-offs
Report progress to leadership in plain language
Engineers from our own team, matched to your stack.
Start with a callHow hiring works
Four steps, no CV pile.
- 1
Intro call
What you're building, the stack and the seniority you need.
- 2
Matched engineers
We put forward engineers from our own team who fit, not a stack of CVs.
- 3
Trial week
They work on your real backlog, so you judge the work, not the interview.
- 4
Embedded
Your stand-ups, your tools, your code review. Scale up or down as you need.
AI features fail in different ways. AI product managers plan for uncertain answers, testing, cost and human review from the start.
Yes. Many teams start with part-time product leadership.
Typically within one to two weeks of scoping the role, because our engineers are already part of our delivery process.
Engineers from our own team. We do not resell freelancers from a marketplace.
Either works: you manage the work directly while we handle technical oversight, or we manage the engagement end to end.
Other roles
Build the rest of the team.
AI Agent Engineer
Agents and tool-using workflows, built for production.
LLM Engineer
LLM applications across OpenAI, Claude and open models.
Claude Developer
Products and agents built on Anthropic's Claude.
RAG Engineer
Search and retrieval over your documents and data.
Full-Stack Engineer
React, Next.js and Node, from database to interface.
Mobile Engineer
Flutter apps for iOS and Android from one codebase.