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NeueHealth is a value-driven healthcare company committed to making high-quality, coordinated care accessible and affordable across the ACA Marketplace, Medicare, and Medicaid. The company operates owned clinics (Centrum Health and Premier Medical) and partners with affiliated providers nationwide, while enabling providers to succeed in performance-based arrangements through technology and services.
The Senior AI Product Manager is responsible for identifying, defining, prioritizing, launching, and continuously improving AI-enabled products and capabilities that advance NeueHealth's business, clinical, operational, member, provider, and stakeholder objectives. This role translates ambiguous business problems into clear product requirements, success metrics, and adoption plans to ensure launched solutions deliver measurable impact.
Key responsibilities include:
- Identify and shape AI product opportunities through stakeholder discovery, workflow analysis, value sizing, feasibility assessment, and risk identification
- Own product artifacts (one-pagers, PRDs, user stories, acceptance criteria, launch criteria, KPIs) for AI solutions
- Partner with the Head of AI to prioritize work based on business value, user impact, strategic fit, feasibility, risk, compliance, and capacity
- Maintain and communicate roadmaps/backlogs for assigned AI features, workflows, or product areas
- Make timely product decisions during implementation regarding scope, requirements, tradeoffs, and outcome alignment
- Verify completed solutions meet product requirements, acceptance criteria, user needs, and success measures
- Support UAT, workflow validation, pilot planning, launch readiness, and post-launch feedback collection
- Drive adoption through stakeholder communication, rollout planning, training, user guidance, change management, and support workflows
- Own post-launch KPI monitoring, user feedback analysis, bug/enhancement intake, and continuous improvement recommendations
- Partner with Engineering, Compliance, Security, Legal, Clinical, and Operations to ensure AI solutions are responsible, secure, compliant, auditable, and trustworthy
- Maintain comprehensive product documentation including requirements, roadmap materials, decision logs, launch plans, KPI definitions, stakeholder updates, and performance summaries
The Senior AI Product Manager reports to the Head of AI Product & Engineering and works closely with the Director of AI Engineering, AI Engineers, Data, Platform, Security, Compliance, Legal, Operations, Clinical, and business stakeholders. This is a work-from-home position with preferred candidate locations in TX, MN, or FL, subject to business need.
Requirements:
- Strong familiarity with modern AI/ML or LLM concepts
- Bachelor's degree in Business, Computer Science, or Data Science (equivalent practical experience may be considered)
- 4+ years of product management experience across the full development lifecycle with ownership responsibility
- Demonstrated ability to translate ambiguous business problems into clear product requirements, priorities, success metrics, and execution plans
- Strong stakeholder management skills, including ability to align business, technology, operations, clinical, compliance, and executive stakeholders
- Strong data and analytical skills with ability to define KPIs, interpret data, evaluate product performance, and make evidence-based prioritization decisions
- Comfortable partnering with engineering and security teams on feasibility, architecture tradeoffs, data dependencies, integration needs, implementation sequencing, testing, and launch readiness
- Strong written and verbal communication skills, including ability to create clear product documents, executive summaries, roadmap materials, user guidance, and launch communications
- Comfortable operating in fast-paced, evolving agile environment with ambiguity, competing priorities, rapid learning, and bias toward action
Preferred Experience:
- Hands-on experience building with AI
- Experience deploying solutions with embedded AI capabilities including human-in-the-loop requirements, escalation paths, review workflows, exception handling, and operational controls
- Experience working in healthcare
- Strong data fluency, including ability to define metrics, shape data requirements, interpret analyses, and use data to inform product decisions
- Code literacy
- Databricks experience
