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CopilotIQ

Director of Product, Payor Solutions

Posted 7 Days Ago
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Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Director of Product, Payor Solutions drives product strategy for CopilotIQ, focusing on developing AI-powered solutions for health payors to enhance care models and patient engagement.
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At the forefront of health tech innovation, CopilotIQ+Biofourmis is transforming in-home care with the industry's first AI-driven platform that supports individuals through every stage of their health journey-from pre-surgical optimization to acute, post-acute and chronic care. We are helping people live healthier, longer lives by bringing personalized, proactive care directly into their homes. With CopilotIQ's commitment to enhancing the lives of seniors with chronic conditions and Biofourmis' advanced data-driven insights and virtual care solutions, we're setting a new standard in accessible healthcare. If you're passionate about driving real change in healthcare, join the CopilotIQ+Biofourmis Team!

What is the Director of Product, Payor Solutions role?

The Director of Product, Payor Solutions will lead product strategy and execution for CopilotIQ’s platform serving payors and risk-bearing entities.

This role is responsible for driving the development of products that win with health plans by improving enrollment and engagement, delivering measurable clinical outcomes, and enabling scalable, cost-efficient care models powered by a blend of human and agentic AI.

You will work cross-functionally with engineering, clinical, data, and commercial teams to translate complex reimbursement, regulatory, and operational requirements into intuitive, scalable product experiences.

This role is highly collaborative and execution-focused, with strong exposure to customers and the market.

What you’ll be doing:

  • Own and drive key components of the product roadmap focused on payor and risk-bearing customers, ensuring alignment to business goals, customer needs, and clinical outcomes
  • Translate payor requirements (quality measures, utilization management, reporting, ROI expectations) into scalable product capabilities
  • Lead the development of agentic AI-powered workflows, including:
    • Enrollment and engagement automation
    • Intelligent care orchestration and escalation pathways
  • Partner closely with Engineering and Data teams to build products that leverage real-time data (biomarkers, claims, ADT, medication) to drive proactive interventions and measurable outcomes
  • Collaborate with Clinical leadership to ensure products align with care models, clinical protocols, and regulatory requirements
  • Support Sales, Marketing, and Client Success in enterprise sales cycles, pilots, and implementations by clearly articulating product value, ROI, and differentiation
  • Gather and synthesize customer feedback (payors, providers, partners) to continuously refine product direction and prioritize high-impact features
  • Define and track KPIs related to product adoption, engagement, clinical outcomes, and unit economics
  • Contribute to competitive positioning, pricing strategy, and go-to-market alignment for payor-focused products
  • Partner on evaluating and integrating third-party solutions (e.g., data vendors, device integrations, AI capabilities) where appropriate

What you’ll bring

  • 8+ years of product management experience, ideally in healthcare, digital health, or value-based care
  • Strong understanding of payor dynamics, including Medicare Advantage, risk-based models, and healthcare economics
  • Experience building or working with AI-driven or automation-first products, ideally including conversational AI, workflow automation, or decision support systems
  • Ability to operate at the intersection of product, clinical, and operational workflows, translating complex requirements into simple, scalable solutions
  • Strong cross-functional leadership skills with the ability to influence across engineering, clinical, and commercial teams
  • Experience working in fast-paced, high-growth environments with a focus on execution and iteration
  • Data-driven mindset with experience defining and using metrics to guide product decisions

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