Product Manager - R01564936

BrillioJersey City, NJ

About The Position

We are seeking an AI Product Manager with deep healthcare domain experience (preferably pharmacy services) to drive rapid experimentation and delivery of AI-enabled products. This role will work at the intersection of business, clinical workflows, operations, and technology to identify high-impact opportunities, design solutions, and rapidly test and scale AI-driven capabilities across pharmacy and patient service journeys. This is a hands-on, execution-oriented role focused on turning ideas into measurable outcomes quickly.

Requirements

  • 6–10+ years in Product Management or Product Ownership
  • Strong healthcare domain experience, preferably in Pharmacy services (specialty pharmacy preferred), Patient services / HUB services, Payer or PBM ecosystems
  • Proven experience working on data-driven or AI-enabled products
  • Demonstrated ability to drive rapid experimentation and MVP delivery
  • Strong ability to work across business, clinical, and technical teams
  • Highly execution-oriented (bias for action)
  • Strong problem framer (not just backlog manager)
  • Comfortable with ambiguity and iteration
  • Deep empathy for patients and frontline users
  • Data-driven decision maker
  • Able to balance speed vs. cost

Nice To Haves

  • Experience with Prior Authorization (PA), Benefits Verification (BV), or patient onboarding workflows
  • Experience with Call center / omnichannel patient engagement platforms
  • Familiarity with LLMs / Generative AI applications
  • Familiarity with workflow automation tools
  • Familiarity with Data platforms (e.g., modern data stack)
  • Experience in regulated environments (HIPAA, compliance constraints)

Responsibilities

  • Identify & Prioritize High-Impact AI Use Cases: Work with business, operations, and clinical stakeholders to identify opportunities across Benefits verification (BV) / Prior Authorization (PA), Patient onboarding & education, Adherence & refill management, Call center / pharmacist workflows. Translate business pain points into clear problem statements and opportunity areas.
  • Drive Rapid Experimentation: Convert ideas into testable hypotheses and experiments. Design MVPs and pilots using AI/LLM capabilities, workflow automation, and data-driven decisioning. Run fast iteration cycles: Prototype → test → learn → refine. Define success metrics and evaluate outcomes quickly.
  • Build & Deliver AI-Enabled Products: Own end-to-end product lifecycle: Problem definition → solution design → development → launch → iteration. Partner with Engineering, Data Science, and Design teams to build scalable, production-ready solutions and integrate AI into real workflows. Ensure usability for frontline users (pharmacists, agents, care teams).
  • Bridge Business, Clinical, and Technology Teams: Act as a translator between business/operations (pharmacy, patient services) and technology (engineering, AI/ML teams). Ensure solutions are operationally feasible, clinically appropriate, and technically scalable.
  • Embed AI into Real Workflows: Design solutions that augment human decision-making (not replace blindly), incorporate human-in-the-loop controls, and fit seamlessly into existing systems (CRM, workflow tools, call center platforms). Drive adoption across end users.
  • Measure Impact & Scale: Track operational efficiency (e.g., reduced handling time, faster approvals), experience metrics (patient, agent, pharmacist), and business outcomes (conversion, adherence, cost reduction). Scale successful pilots into broader deployment.

Benefits

  • Great Place to Work® certification
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