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Job Description

Own EvolutionIQ’s Short Term Disability (STD) AI-first roadmap, partnering with data science, engineering, and enterprise carriers to turn product ideas into working prototypes.

Responsibilities

  • Partner with data-science teams to quantify value and surface product opportunities
  • Lead roadmap planning and execution for AI-first products across the STD product line
  • Build and ship AI-first capabilities that guide and augment human decision-making in STD claims
  • Collaborate with major insurance carrier stakeholders to identify problems, test concepts, and deliver measurable business outcomes
  • Bring early product concepts to customers and use feedback to decide what to build next
  • Coordinate with customer success, sales, and product marketing to support go-to-market strategy for new capabilities
  • Write code and develop working prototypes alongside engineers, leveraging AI coding tools as a core workflow
  • Define value propositions, adoption hypotheses, and kill criteria; apply discipline to stop work that is not landing
  • Contribute to the strategic direction of STD products across the broader platform

Requirements

  • 4+ years of product management experience in enterprise software or high-production SaaS
  • Built something from nothing at least once, ideally in environments emphasizing velocity and scrappiness
  • Strong product sense for the economic and workflow problems a specific buyer needs solved, from early exploration to a compelling prototype
  • Deep experience in at least one complex, regulated vertical (examples: fintech, healthtech, legaltech, HCM, or similar)
  • Technical capability to contribute directly to working software and build alongside engineers using AI coding tools
  • Experience serving as a product leader on at least one AI-core product
  • Practical AI tool usage daily in actual work (not novelty)
  • Comfort collaborating across multiple disciplines and teams, leading initiatives across product, engineering, data science, and customer success
  • Discipline around killing work that isn’t working
  • 0-to-1 product building (from concept through market validation)
  • Fast domain learning to turn new industry context into product insight
  • Commercial instinct: ability to present to enterprise buyers and build an ROI-forward value proposition
  • AI fluency: hands-on experience with AI-first product building and a realistic view of current capabilities and limits
  • Experimentation discipline: define hypotheses, set kill criteria, test with real customers, and make clear-eyed go/no-go decisions

Benefits

  • Annual bonus plan
  • Company equity plan (RSUs)
  • Medical, dental, and vision
  • Short-term and long-term disability
  • Life insurance and AD&D
  • 401k matching
  • Additional family, wellness, and pet benefits
  • Paid time off and sick leave
  • 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
  • Flexible schedule for new parents returning to work
  • Catered lunches
  • Happy hours
  • Pet-friendly spaces
  • Monthly technology stipend
  • $1,000/year per employee for professional development
  • Opportunities for tuition reimbursement
  • Sponsorship for candidates currently in the U.S. who need to transfer their active visa

What you’ll achieve with us

  • Take product concepts from a blank page to working prototypes in front of major insurance carriers
  • Shape disability claims handling by building AI-first products that expand what claims organizations can do
  • Work across a broad product surface, including modernization of revenue-generating offerings and launches of new AI-first product lines
  • Build deep expertise in a large, complex industry where AI is expected to change established practice
  • Operate at the intersection of enterprise distribution, strong data access, and carrier relationships, supported by an AI-native team that ships like a startup

Location: New York, NY (onsite)

Compensation: USD 220,000 per yearly

Experience: 4+ years (Senior or Lead determined based on experience)

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