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.
Key Responsibilities
1. 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
2. Drive Rapid Experimentation
Convert ideas into testable hypotheses and experiments
Design MVPs and pilots using:
AI/LLM capabilities
Workflow automation
Data-driven decisioning
Run fast iteration cycles:
Prototype test learn refine
Define success metrics and evaluate outcomes quickly
3. 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
Integrate AI into real workflows (not just standalone models)
Ensure usability for frontline users (pharmacists, agents, care teams)
4. Bridge Business, Clinical, and Technology Teams
Act as a translator between:
Business/operations (pharmacy, patient services)
Technology (engineering, AI/ML teams)
Ensure solutions are:
Operationally feasible
Clinically appropriate
Technically scalable
5. Embed AI into Real Workflows
Design solutions that:
Augment human decision-making (not replace blindly)
Incorporate human-in-the-loop controls
Fit seamlessly into existing systems (CRM, workflow tools, call center platforms)
Drive adoption across end users
6. Measure Impact & Scale
Track:
Operational efficiency (e.g., reduced handling time, faster approvals)
Experience metrics (patient, agent, pharmacist)
Business outcomes (conversion, adherence, cost reduction)
Scale successful pilots into broader deployment
Key Traits
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 compliance vs scale
Required Qualifications
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
Preferred Qualifications
Experience with:
Prior Authorization (PA), Benefits Verification (BV), or patient onboarding workflows
Call center / omnichannel patient engagement platforms
Familiarity with:
LLMs / Generative AI applications
Workflow automation tools
Data platforms (e.g., modern data stack)
Experience in regulated environments (HIPAA, compliance constraints)
