Senior Product Manager, Revenue Cycle Management AI
New
P
PointClickCareHealth Tech
Remote- CanadaFull-TimeSenior
Salary$133,200 - $148,000 a year + bonus
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Job Details
- Experience
- 5+ years of software product management experience, with at least 2 years as the primary product owner of an AI or ML-powered product
- Required Skills
- AgileProduct ManagementData scienceSaaS
Requirements
- Bachelor's degree in business, Healthcare technology, computer science, or a related field.
- 5+ years of software product management experience.
- At least 2 years as the primary product owner of an AI or ML-powered product shipped to production customers.
- Proven experience in healthcare billing, revenue cycle management, or claims.
- Track record of managing products through beta programs and into general availability.
- Experience defining success metrics and feedback loops for AI products, including model performance monitoring.
- Ability to work at the intersection of domain expertise and AI product design.
- Strong written and oral communication skills for technical and non-technical stakeholders.
- Solid understanding of agile practices.
- Experience managing SaaS products.
Responsibilities
- Own the full product lifecycle for one or more RCM AI Products from 0-1, GA launch, and through growth.
- Define and own the roadmap, prioritizing opportunities across billing, claims, collections, and pre-billing workflows.
- Translate AI model outputs, confidence thresholds, and recommendation accuracy tradeoffs into product decisions and customer-facing feature design.
- Define success metrics for AI products including recommendation adoption rate, billing event capture rate, and measurable revenue impact per customer.
- Partner with advanced technology, data science, engineering, and cross-functional teams to evaluate model performance and define feedback loops.
- Engage with billing managers, RCM directors, and facility operators to understand current and future customer needs.
- Prioritize product investments and trade-offs using data-driven analysis to build business cases and quantify ROI.
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