Staff Product Manager - Inpatient Clinical AI

GetWellNetwork, Inc.

9d•Remote

About The Position

We’re building inpatient AI that understands the patient, the clinician, and the moment — not just the chart. You will own strategy and execution for Inpatient Clinical AI: a context-aware, hyper-personalized intelligence layer embedded into hospital workflows that adapts to patient state, clinician role, and care moments across the inpatient journey. This role requires an entrepreneurial, hands-on product leader who can move fast, navigate ambiguity, and ship products that clinicians use in high-pressure hospital environments.

Requirements

7+ years of product management experience with deep healthcare exposure
Direct experience building products for inpatient hospital settings
Strong understanding of hospital workflows: rounds, handoffs, discharge planning, multidisciplinary care
Experience shipping products integrated into major EHRs (Epic strongly preferred)
Deep empathy for hospitalists, nurses, and care teams
Proven ability to take products 0 → 1 → scale in healthcare environments
Strong analytical and problem-solving skills; comfortable defining success metrics and tracking outcomes
Ability to work deeply with engineering and design to prototype, iterate, and ship
Experience operating effectively across distributed, global teams
Adhere to all organizational information security policies and protect all sensitive information, including but not limited to electronic protected health information (ePHI), protected health information (PHI), personally identifiable information (PII), and Get Well information based on data classifications in accordance with organizational policy and Federal, State, local, and international regulations.

Nice To Haves

Hands-on experience building LLM-based clinical products
Familiarity with prompt engineering, RAG, clinical NLP, or summarization systems
Understanding of AI safety, hallucination mitigation, and clinical validation approaches
Technical depth to debug with engineers and make informed architecture tradeoffs
Comfort working with SQL, clinical data models, and AI product KPIs
Working knowledge of HL7, FHIR, and healthcare integration patterns
Familiarity with modern cloud platforms (Azure preferred, AWS acceptable)
Experience with EHR integration and healthcare data exchange architectures
Understanding of clinical validation requirements for AI/ML products
Familiarity with HIPAA, BAAs, hospital IT security, and clinical governance
Experience running clinical pilots, gathering real-world evidence, and supporting procurement reviews
Awareness of the competitive clinical AI landscape and ability to define clear differentiation

Responsibilities

Owning AI-driven clinical intelligence across inpatient workflows (admission → rounds → handoffs → discharge)
Decision support that augments clinical judgment without disrupting autonomy or workflow
End-to-end product ownership: strategy, roadmap, execution, and go-to-market from pilots to scaled adoption
Cross-functional leadership with global engineering, clinical, design, and data teams
Deep customer partnerships with health systems to validate, iterate, and drive adoption
Setting product standards and patterns for how AI is responsibly deployed across inpatient workflows at GW RhythmX
Identifying documentation and clinical gaps that impact LOS, quality, or reimbursement before discharge
Delivering role-specific insights for hospitalists, nurses, case managers, and CDI teams