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Open nowPosted 89 days ago

Senior Product Manager (Short Term Disability Product)

EvolutionIQ20 open roles

Pay
$220,000 a year
Where
New York, NY
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Your applicationOpen nowSenior Product Manager (Short Term Disability Product)EvolutionIQ · New York, NY
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. EvolutionIQ postings stay open a median of 50 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 89 days ago

EvolutionIQ median: 50 days open

The posting

About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't.

Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026.

About the Role: We are hiring a Senior Product Manager to help build the next generation of AI-first products for our Short Term Disability product line. You'll own features and initiatives on the STD modules and help execute an ambitious multi-year roadmap delivering next-generation workflows, synthesis, insights, and decision guidance technologies to our disability carrier customers.

While no two days are the same, on any given day you can expect to:

  • Work closely with data-science partners to quantify value and identify product opportunities
  • Drive the roadmap and execution for AI-first products
  • Build and ship AI-first products that guide and augment human decision-making in STD claims
  • Work directly with stakeholders at major insurance carriers to uncover problems, test product concepts, and drive business outcomes
  • Get early product concepts in front of customers and use their reactions to make real decisions about what to build next
  • Partner with customer success, sales, and product marketing to support go-to-market strategy for new capabilities
  • Write code and build working prototypes alongside your engineers, using AI coding tools as a core part of how you work
  • Define clear value propositions, adoption hypotheses, and kill criteria for your work, and have the discipline to walk away from work that isn't landing
  • Contribute to the strategic direction of STD products broadly

What You'll Achieve with Us

  • Take product concepts from a blank page to working prototypes in front of the largest insurance carriers in the world
  • Shape the future of how disability claims are handled by building AI-first products that change what's possible for claims organizations
  • Work across a uniquely broad product surface — from modernizing established, revenue-generating products to launching entirely new AI-first product lines
  • 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

About You

  • You are a seasoned Product professional 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 carry that framing from early exploration through a compelling prototype.
  • 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. 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 strategy and hands a spec to engineering. You build alongside your engineers using AI coding tools.
  • You have been a product leader on at least one product where AI was core to the value proposition, and you use AI tools daily in your actual work, not as a novelty, but as part of how you operate.
  • You are comfortable working with multiple disciplines across multiple teams. You'll be leading initiatives across product, engineering, data science, and CS. You're energized by that breadth rather than needing a single, fixed lane.
  • You have real discipline around killing work that isn't working. The intellectual honesty required to walk away from something you've built and care about, because the customer signal says no, is rarer than it sounds.

Key Competencies

  • 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.
  • 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.
  • Technical contribution. You can prototype, build, and ship alongside engineers, working in AI coding environments and making 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 work well alongside sales and revenue teams.
  • AI fluency. You have practical, hands-on experience building AI-first products and a realistic sense of current capabilities and limitations.
  • 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.

Experience:

  • 4+ years of product management experience in enterprise software or high-production SaaS environment (Senior or Lead will be determined based on experience)
  • 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

Work-life, Culture & Perks:

  • Compensation: The base salary range is up to $220K, 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 as 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.

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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