Note: The job is a remote job and is open to candidates in USA. Dearborn Labs builds and deploys production AI systems for insurance companies. The Product Manager, Client Solutions translates client needs into AI product engagements, owns requirements and roadmaps, and guides solutions through delivery and validation in clients’ operations.
Responsibilities
- Scope engagements across the full spectrum — from short discovery sprints that define the opportunity to full product builds that ship AI systems into production
- Use AI to translate client problems into detailed specifications that can be consumed agentically, bringing client solutions to market at the speed of AI
- Own the product backlog for the engagement team, prioritizing based on client value, technical feasibility, and what will actually move the client's business
- Monitor agentic acceptance testing to ensure your specifications are delivered accurately through our custom agentic engineering harness
- Run UAT that validates the system against the client's real workflow — you're accountable for whether it actually works for them
- Own client communication end to end: proactive updates, clear escalation paths, no surprises
- Bring a point of view back to the client and the team — not just status updates, but a read on what's working, what isn't, and what should happen next
- Contribute to the Dearborn Labs playbook — document what works so the next engagement moves faster
Skills
- Previous insurance experience, preferably personal auto or broader P&C — you understand the industry well enough to earn credibility with a client fast
- Experience writing user stories and acceptance criteria that turn ambiguous requirements into something engineering can build against
- Experience using AI thoughtfully to build engineering specifications more quickly
- Genuine comfort being embedded with external stakeholders — building trust, navigating ambiguity, and driving a room full of people who don't report to you toward a decision
- Ability to manage deliverables in an agile environment while juggling multiple client engagements at once, without losing the details
- Obsessive attention to detail paired with high curiosity — you notice the thing that's slightly off before it becomes the client's problem
- Deep understanding of data and enough SQL chops to be dangerous
- Excellent communication, internally and externally — you can navigate complex relationships on both sides of the table to get the job done
- Experience using AI coding agents
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