Senior AI-Native Product Manager - P&C Insurance

Fortegra•Woodbridge Township, NJ

2d•Onsite

About The Position

We are looking for a Senior AI-native Product Manager who builds, not just coordinates. This role is for someone who already operates differently: • You use AI as part of your daily workflow, not occasionally • You move quickly from idea to execution • You collaborate directly with engineers in code and systems, not just documents You will work in a P&C insurance environment where precision, security, and correctness matter, and “good enough” is often not acceptable. The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.

Requirements

5+ years in Property & Casualty (P&C) insurance
5+ years as a Product Manager
1+ year using AI tools as part of your daily workflow

Nice To Haves

Already use tools like ChatGPT, Claude, Copilot, or Cursor as part of how you work
Are comfortable working directly with engineers in GitHub (issues, PRs, discussions)
Can quickly prototype or “vibe code” to explore ideas
Regularly engage with both internal stakeholders and external customers (MGAs, agencies) to understand real problems
Understand how insurance workflows differ across distribution channels and internal teams
Use data and analytics to validate decisions and measure impact
Do not rely on long specs to move work forward
Understand how to validate and refine AI-generated output

Responsibilities

Own product direction and execution for modern web applications
Work directly with engineers in GitHub to shape solutions and drive delivery
Use AI tools daily to accelerate thinking, prototyping, and execution
Lead product discovery across internal and external customers, including: MGAs insurance agencies internal underwriting, claims, and operations teams
Engage directly with customers to understand workflows, pain points, and opportunities for improvement
Translate customer and stakeholder insights into clear, buildable solutions
Define and track success metrics tied to real business outcomes
Use data and analytics to guide prioritization and iteration
Reduce ambiguity and push work forward without relying on heavy process
Make clear tradeoffs between speed, quality, and risk