Jobs · Marketing · North Carolina

Senior Product Manager, Care Console

Verily Health · Raleigh, NC · 3 days ago
MarketingFull-time

Responsibilities

  • Own the AI-First Strategy Execution: Champion an AI-first approach to build tools that act as a force multiplier—empowering care teams to exponentially scale their panel management beyond traditional models.
  • Orchestrate Cross-Functional Execution: Direct a dedicated engineering squad while serving as the collaborative hub for dozens of stakeholders. Manage upward and influence without authority to secure resources and align priorities across shared platform engineering teams, UX, Data Science, Quality, and Regulatory.
  • Clinical Prioritization & Stakeholder Management: Leverage deep clinical software experience to rapidly triage complex requests. Bring the domain expertise to negotiate product priorities directly with medical experts and health system leaders, effectively separating immediate needs from long-term goals.
  • Build a Unified Platform: Balance requirements from internal teams (e.g., Verily’s Lightpath Solution) and external health system partners (via Verily’s Pre Platform Solution). Consolidate these diverse needs into a single backlog to build scalable, reusable features rather than bespoke solutions.

Qualifications

  • Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Healthcare Informatics, Medicine or equivalent practical experience, coupled with 5+ years of progressive product management experience.
  • Mandatory Provider-Facing Experience: A minimum of 3+ years directly defining, building, and scaling clinical-facing software tools (e.g., Care Management Platforms, EHRs, or Remote Patient Monitoring) used by healthcare professionals.
  • Matrix Leadership: Proven ability to influence without authority, successfully collaborating across complex cross-functional teams including Data Science, Engineering, Clinical, Quality, and Regulatory stakeholders.
  • Preferred Qualifications: Experience in leading development of AI-driven products (e.g., LLMs, machine learning, or agentic workflows) within a complex, regulated enterprise environment. Deep, hands-on experience with healthcare data interoperability, including bidirectional EHR integrations and a strong working knowledge of healthcare data standards (e.g., FHIR, HL7). Formal clinical credential or background (e.g., RN, MD, PharmD, etc.) combined with technical product management experience. Direct experience building and deploying formal Clinical Decision Support (CDS) systems, automated triage, or AI-copilots specifically for clinical care teams.

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