Senior AI Product Manager
New
N
NeueHealthHealthcare
Remote; Preferred candidate locations include TX, MN, or FLFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years of product management experience
- Required Skills
- AgileData AnalysisProduct ManagementStakeholder managementDatabricksLLM
Requirements
- 4+ years of product management experience across the full development lifecycle.
- Strong familiarity with modern AI/ML or LLM concepts.
- Bachelor’s degree in Business, Computer Science, or Data Science (or equivalent practical experience).
- Demonstrated ability to translate ambiguous business problems into clear product requirements and execution plans.
- Strong stakeholder management skills to align business, technology, operations, clinical, and compliance teams.
- Strong data and analytical skills to define KPIs and make evidence-based prioritization decisions.
- Experience partnering with engineering and security teams on feasibility, architecture tradeoffs, and implementation.
- Excellent written and verbal communication skills for documentation and executive summaries.
- Comfortable operating in a fast-paced, evolving agile environment.
Responsibilities
- Identify and shape AI product opportunities through stakeholder discovery, workflow analysis, value sizing, feasibility assessment, and risk identification.
- Own one-pagers, PRDs, user stories, acceptance criteria, launch criteria, and 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 the roadmap or backlog for assigned AI features, workflows, products, or product areas.
- Make timely product decisions during implementation, including scope, requirements, tradeoffs, and outcome alignment.
- 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.
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