Evolutioniq
New

Director, Product (Auto P&C)

United StatesUnited States·New Yorkexecutive
OtherDirector Product
0 views0 saves0 applied

Quick Summary

Overview

About Us: EvolutionIQ's mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient,

Technical Tools
OtherDirector Product

About the Role

~1 min read
  • Take a new product area from a blank page to a working prototype in front of the largest insurance carriers in the world, and build the case for whether it becomes a committed product line
  • Shape the future of how auto casualty claims are handled by building AI-first products that change what's possible for claims organizations
  • Build and grow a product team around a new product area as it graduates from experiment to committed business line
  • Develop deep expertise in a massive, complex industry where AI is about to reshape decades of established practice
  • Work at the intersection of a market-leading enterprise with unmatched data and carrier relationships and an AI-native team that ships like a startup
  • Influence the strategic direction of a core business unit growing toward a much larger ambition, with direct access to the executives making those decisions
  • You are a product leader who has built something from nothing at least once, ideally at a company where velocity and scrappiness were the norm. You think about products in terms of the economic and workflow problems they solve for a specific buyer, and you can hold that framing from early exploration through a prototype compelling enough to pitch a real value proposition and ROI case to a senior claims executive.
  • You have gone deep in at least one complex, regulated vertical (fintech, healthtech, legaltech, HCM, or similar) and can speak specifically about how you built that understanding: what you got wrong early, how your product thinking evolved, and what you learned about which domain workflows are essential versus which exist out of habit. We care less about which vertical and more about evidence that you know how to learn a complex domain quickly and turn that knowledge into good product decisions.
  • You are technical enough to contribute directly to working software. On a small team, there is no room for someone who shapes the strategy and hands a spec to engineering. You build alongside your engineers using AI coding tools, with enough depth to make real contributions and enough product sense to know when what you've built is good versus just functional.
  • You have shipped at least one product where AI was core to the value proposition, and you can have a grounded conversation about when AI is the right approach versus when something simpler works better. You use AI tools daily in your actual work, not as a novelty but as part of how you operate.
  • You have real discipline around killing work that isn't working. The intellectual honesty required to walk away from something you've built, pitched, and care about, because the customer signal says no, is rarer than it sounds. Especially at the Director level, where many PMs have spent years learning to advocate for their product rather than evaluate it.
  • 0-to-1 product building. You have taken a product from concept through market validation and can point to specific decisions you made along the way, what you learned from customers, and how the product evolved from your initial vision.
  • Domain learning velocity. You can go deep in a new industry quickly, distinguish essential complexity from accumulated habit, and turn domain knowledge into product insight. Auto casualty has decades of process, regulation, and institutional practice, and the person we hire will need to learn it fast and well.
  • Technical contribution. You can prototype, build, and ship alongside engineers. You think of yourself as a product person, but you write code, work in AI coding environments, and make direct technical contributions to the products you own.
  • Commercial instinct. You are comfortable in front of enterprise buyers, can construct a compelling value proposition and ROI case, and understand how to work alongside sales and revenue teams to build the commercial footprint of a new product.
  • AI fluency. You have practical, hands-on experience building AI-first products and a realistic sense of current capabilities and limitations. You make good judgment calls about what's technically feasible and what will actually deliver value.
  • Experimentation discipline. You define hypotheses, set kill criteria, test ideas with real customers, and make clear-eyed decisions about what to continue and what to stop. You do not confuse conviction with evidence.
  • 5+ years of product management experience in enterprise software or high-production SaaS environment
  • At least one 0-to-1 product build, ideally in a startup or high-velocity environment
  • Deep experience in at least one complex, regulated vertical
  • Demonstrated experience building and shipping AI-driven products
  • Track record of working directly with enterprise customers and senior stakeholders to validate product direction
  • Comfort operating in ambiguity, with a bias toward action and learning over extensive upfront planning
  • Experience delivering results in a sales/GTM context, communicating effectively across stakeholders from end users to C-level executives

What We Offer

~1 min read
Compensation: The base salary range is $235-260K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

Location & Eligibility

Where is the job
New York, United States
On-site at the office
Who can apply
US

Listing Details

Posted
May 29, 2026
First seen
May 30, 2026
Last seen
May 30, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
60%
Scored at
May 30, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Evolutioniq
Evolutioniq
greenhouse

EvolutionIQ is an AI-powered claims guidance platform for the insurance industry, designed to improve claims processing, reduce costs, and help injured individuals recover faster.

Employees
125
Founded
2019
View company profile
Newsletter

Stay ahead of the market

Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

A
B
C
D
Join 12,000+ marketers

No spam. Unsubscribe at any time.

EvolutioniqDirector, Product (Auto P&C)