Phare HealthRemote
Product Manager, R37
United States of America
Full Time
4 weeks ago
$140,000 - $300,000 USD
Visa Sponsor
Key skills
Product managementHealthcare domain knowledgeSaaS experienceSQLPythonData platformsAI/ML systemsMachine learning modeling techniquesLarge Language ModelsArtificial IntelligenceBusiness Intelligence toolsStakeholder managementExecutive communicationAIMachine LearningMLNLPAnalyticsBITableauPower BISaaSLeadershipStakeholder ManagementProduct ManagementCommunicationCollaboration
About this role
Phare Health, now part of R1 and its AI innovation engine, R37 Lab, is developing an AI-native Healthcare Revenue Operating System. The Product Manager will define product strategy and drive outcomes for high-impact initiatives, combining product leadership and technical expertise to enhance healthcare revenue cycle solutions.
Responsibilities:
- Drive product strategy and execution for innovative healthcare revenue cycle solutions, grounded in research, stakeholder insight, and business expertise
- Lead project planning and execution by running meetings and guiding teams through high-quality plans and roadmaps that connect product vision to measurable progress
- Generate strategic product insights by solving complex business challenges, identifying high-leverage data signals, and translating AI/ML model outputs into clear product direction
- Engage and align stakeholders across business teams, engineering, other product groups, and leadership; distill complex concepts into clear, business-focused language
- Lead cross-functional collaboration to identify root causes, shape strategy, and drive alignment through clear communication
- Apply deep knowledge of healthcare revenue cycle processes and regulations to guide compliant product development and ensure solutions are relevant and impactful
Requirements:
- 5+ years of product management, with 2+ years of healthcare and/or SaaS experience
- Strong technical fluency in SQL or Python
- Proven track record of defining product strategy and driving measurable business impact
- Deep experience working with data platforms, AI/ML-driven systems, or highly technical products
- Exceptional stakeholder management and executive communication skills
- Deep knowledge of healthcare revenue cycle operations, regulations, and workflows
- Deep understanding of machine learning modeling techniques (clustering, decision tree learning, and NLP) and their real-world advantages/drawbacks
- Knowledge of real-world use and deployment of Large Language Models (LLMs) and Artificial Intelligence (AI)
- Experience creating analytics tools and visualizing data and model results utilizing a modern BI tool (Power BI, Spotfire, Tableau, etc.)