Product Manager, R37
Phare HealthAbout the role
About Us
Phare Health is now part of R1 and its AI innovation engine, R37 Lab, bringing Phare’s frontier clinical reasoning technology together with one of the largest healthcare platforms in the U.S.
At R37 and Phare, we are building the first AI-native Healthcare Revenue Operating System: a connected platform that reasons over full medical records, payer logic, and financial workflows to automate medical coding, billing, and follow-up.
Backed by real customers, real data, and real distribution, we operate on a national scale. Our agentic AI systems already power production workflows across 95 of the top 100 U.S. health systems, processing hundreds of millions of patient encounters each year, including:
180M+ Claims
550M+ Patient encounters
1.2B+ Workflow actions and outcomes each year
This is startup-level ownership with enterprise-level impact. If you want to build AI that ships, scales, and measurably improves how healthcare works, this is the place to do it.
We are hiring across several seniority levels ranging from Mid-level up to Staff. At a minimum, we would expect 5 years of product management experience with 2 years of healthcare experience.
The Role
As a Product Manager for the R37 Product Team, you will help define product strategy and drive outcomes across complex, high-impact initiatives within R37’s Ai-native healthcare revenue operating system. This role combines product leadership and technical expertise to shape strategy, guide execution, and influence outcomes across high‑impact, cross‑functional initiatives. In this role, you will need strong expertise in data analysis, prompt engineering, and problem solving, serving as a crucial bridge between business stakeholders and engineering.
Here’s what you will experience working as a Product Manager:
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
Required Skills:
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.)
Benefits
Top-of-market compensation (salary + bonus)
Flexible PTO
Comprehensive health benefits
401(k) matching
Hiring Flow
Recruiter Interview
Intro call with Hiring Manager
Case Studies
Leadership Interviews
Offer
Interview Logistics Notice
As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will
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