Client-Facing AI Insurance Product Manager

Dearborn Labs

New York (NY)

Hybride

USD 135 000 - 165 000

Plein temps

14 jours+

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Résumé du poste

Dearborn Labs is seeking a Product Manager, Client Solutions to translate client needs into AI‑driven product requirements. You will sit with client stakeholders, identify bottlenecks, and shape discoveries into actionable specifications, roadmaps, and outcomes.

You’ll stay embedded with engineering and AI teams as the owner of delivery and value realization. If you’ve written effective user stories and acceptance criteria and can balance client conversations with technical feasibility, this

Qualifications

  • Experience writing user stories and acceptance criteria that guide engineering.
  • Experience using AI thoughtfully to translate problems into spec workstreams.
  • Comfort working with external stakeholders and earning credibility quickly.
  • Strong data sense and basic SQL skills for data exploration and validation.
  • Ability to manage multiple client engagements in an agile setup.

Responsabilités

  • Own the engagement backlog and prioritize by client value, feasibility, and impact.
  • Translate client problems into detailed specifications for engineering and AI teams.
  • Monitor agentic acceptance testing to ensure specifications are met in production.
  • Run UAT to validate the system against real client workflows and outcomes.
  • Own client communication end to end with proactive updates and escalation paths.
  • Contribute to the Dearborn Labs playbook by documenting effective approaches.
  • Scope engagements from discovery sprints to full AI-enabled production builds.

Connaissances

AI product mgmt
Stakeholder mgmt
Agile/Scrum
User stories
SQL basics
Communication
Travel readiness

Description du poste

Dearborn Labs is seeking a Product Manager, Client Solutions to translate client needs into AI‑driven product requirements. You will sit with client stakeholders, identify bottlenecks, and shape discoveries into actionable specifications, roadmaps, and outcomes.

You’ll stay embedded with engineering and AI teams as the owner of delivery and value realization. If you’ve written effective user stories and acceptance criteria and can balance client conversations with technical feasibility, this

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