Senior Product Manager — Conversational AI for Care Navigation

CVS Health•New York, MA

21h•$130,295 - $260,590

About The Position

The Senior Manager, Digital Product will lead product management for care discovery experiences, including digital assistant capabilities on the Health100 (H100) platform, an AI-native consumer engagement platform designed to connect and coordinate care across the healthcare ecosystem. The platform uses data, context, and intelligence to provide a patient-centric, always-on healthcare partner. Haio is the AI conversational assistant powering this experience. The role will help build a connected, personalized healthcare product that bridges provider discovery, appointment booking, and care coordination across primary and preventive care, specialist care, diagnostics, and chronic condition management. The product manager will set product vision and strategy, define measurable outcomes, and lead discovery and delivery of AI-powered products in partnership with engineering, design, data science, clinical, legal, compliance, and business stakeholders. The position requires deep product management knowledge in AI, experience with LLM-driven conversational workflows in healthcare, and the ability to shape broad opportunities into scalable digital experiences.

Requirements

7+ years of product management experience shipping consumer mobile products or healthcare products.
7+ years of experience with APIs, integrations, and mobile architecture.
7+ years of experience with analytics skills and product analytics and experimentation tools.
7+ years of experience with healthcare systems such as provider directories, scheduling platforms, or EHR integrations.
7+ years of experience with conversational interfaces or AI-driven user experiences.
Must be able to work East Coast business hours.
Bachelor's degree or equivalent work experience.

Nice To Haves

Experience with LLMs, prompt engineering, or fine-tuning.
Comfort working in regulated environments with privacy and compliance constraints.
Prior experience with appointment scheduling systems or vendors such as Kyruus, Zocdoc, or Epic scheduling.
Background in patient navigation, care coordination, or patient engagement products.
Familiarity with FHIR, HL7, SMART on FHIR, or healthcare interoperability standards.
Experience designing AI safety, evaluation, and guardrails.
Excellent cross-functional leadership and communication skills.
MBA or advanced degree in a technical or healthcare field.

Responsibilities

Enable the product vision, strategy, and roadmap for AI-enabled health assistant experiences that help users understand their health, take action, and navigate care opportunities across providers, pharmacies, insurers, and other healthcare partners.
Identify high-value opportunities to apply AI, personalization, and intelligence to turn connected health data into actionable insights, proactive guidance, and care navigation support.
Translate customer needs, healthcare journeys, longitudinal health records, clinical context, and ecosystem data into product requirements, user experiences, and measurable outcomes.
Partner with engineering, design, data science, clinical, legal, compliance, privacy, security, and business teams to define, test, and deliver safe, trustworthy AI-enabled capabilities.
Lead discovery and experimentation for assistant-driven experiences, including health record summarization, lab and diagnosis explanation, trend interpretation, medication understanding, symptom triage, prescription guidance, pre-appointment preparation, next-best actions, coaching, and care navigation support.
Define success metrics for customer outcomes, engagement, product performance, quality, safety, trust, and business value; use data and feedback to learn and iterate.
Balance customer impact, clinical safety, responsible AI considerations, business priorities, technical feasibility, and speed to market in product prioritization.
Influence cross-functional partners and senior leaders to align on product direction, trade-offs, ecosystem integrations, and technology choices, including build-versus-buy decisions and platform integration.
Communicate product strategy, roadmap, customer impact, risk mitigation, AI-related trade-offs, and progress against measurable outcomes in executive settings.