Jobs / United States / CVS Pharmacy INC

CVS Pharmacy INC

Sr. Product Manager Digital Health AI

8 Locations Posted today

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Skills this job asks for

Product managementPharmacyComplianceLLMsA/B testingTriage

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 191 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What CVS Pharmacy INC paid sponsored hires in similar roles3 certified filings for “Manager, Data Engineer” (Data Scientists) in GA: $110k–$162k, median $110k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 191 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What CVS Pharmacy INC paid sponsored hires in similar roles
3 certified filings for “Manager, Data Engineer” (Data Scientists) in GA: $110k–$162k, median $110k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Manager, Digital Product leads product management for AI-enabled health experiences, including digital assistant capabilities for Health100 — a first-of-its-kind, AI-native consumer engagement platform designed to meaningfully connect health information across the fragmented healthcare ecosystem and make it actionable. The H100 platform enables a uniquely patient-centric experience that leverages data, context, and intelligence to provide an always-on personal healthcare partner that helps consumers better understand their health and navigate care. Front and center to that is Haio — an AI conversational assistant powering this end-to-end experience.   You'll have the opportunity to help build, from the ground up, a connected and personalized healthcare product that bridges pharmacy, insurance, clinical, and health records data to the benefit of our users. You’ll set product vision and strategy, define measurable outcomes, and lead the discovery and delivery of AI-powered products in close partnership with engineering, design, data science, clinical, legal, compliance, and business stakeholders. You bring a deep understanding of product management within the AI space, experience with LLM-driven conversational workflows in the healthcare space, and the ability to translate amorphous opportunities into scalable, best-in-class digital experiences. What you'll do • Own product vision, strategy, and roadmap for AI-enabled health assistant (Haio) experiences within Health100 — helping 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 transform connected health data into actionable insights, proactive guidance, and care navigation support. • Translate complex customer needs, healthcare journeys, longitudinal health records, clinical context, and ecosystem data into clear product requirements, user experiences, and measurable product outcomes. • Partner closely 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, initiative-taking coaching, and care navigation support. • Define success metrics tied to 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 when making product prioritization decisions. • Influence cross-functional partners and senior leaders to align on product direction, key trade-offs, ecosystem integrations, and technology choices, including build vs. buy decisions for AI-enabled capabilities and platform integration. • Communicate clearly in executive settings, including product strategy, roadmap, customer impact, risk mitigation, AI-related trade-offs, a

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