
10,000+ employees
Founded 2003
🏥 Healthcare
☁️ SaaS
🤖 Artificial Intelligence
💰 Private Equity Round - R1 RCM on 2025-05
Healthcare • SaaS • Artificial Intelligence
R1 RCM is a healthcare revenue cycle management company that provides enterprise-grade technology and services to help providers reduce costs, increase revenue, and streamline operations. R1’s Phare Revenue Operating System is an AI-driven platform that uses specialist “agentic” AI agents, orchestration, and two decades of domain data (including ~280M yearly transactions) to automate intake, coding, claims handling, and payment follow-up with human oversight and compliance guardrails. The company also offers operating partnerships (managing revenue cycle operations and staff) and an AI lab called R37 that builds and deploys automated agents and products (Phare Access, Phare Claim, Phare Flow) aimed at real-time adjudication and comprehensive automation of the revenue cycle.
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10,000+ employees
Founded 2003
🏥 Healthcare
☁️ SaaS
🤖 Artificial Intelligence
💰 Private Equity Round - R1 RCM on 2025-05
Healthcare • SaaS • Artificial Intelligence
R1 RCM is a healthcare revenue cycle management company that provides enterprise-grade technology and services to help providers reduce costs, increase revenue, and streamline operations. R1’s Phare Revenue Operating System is an AI-driven platform that uses specialist “agentic” AI agents, orchestration, and two decades of domain data (including ~280M yearly transactions) to automate intake, coding, claims handling, and payment follow-up with human oversight and compliance guardrails. The company also offers operating partnerships (managing revenue cycle operations and staff) and an AI lab called R37 that builds and deploys automated agents and products (Phare Access, Phare Claim, Phare Flow) aimed at real-time adjudication and comprehensive automation of the revenue cycle.
• Own and drive product vision, strategy, roadmap, and operating model for enterprise healthcare RCM platforms • Define and scale AI product vision across the RCM lifecycle, identifying opportunities for automation, prediction, and intelligent decisioning • Lead discovery to identify, validate, and prioritize high-impact opportunities using customer insights, data analysis, and AI-driven signals • Translate AI/ML capabilities into scalable, customer-centric product solutions • Partner with Engineering, Data Science, and Data Platform teams to build, deploy, and operationalize AI/ML models in production • Drive the end-to-end AI product lifecycle from hypothesis and experimentation through evaluation, workflow integration, production readiness, rollout, monitoring, adoption, and continuous improvement • Ensure responsible AI practices, including data governance, HIPAA compliance, explainability, and bias mitigation • Build business cases and articulate value, ROI, and tradeoffs • Collaborate across Product, Engineering, Design, and Operations to deliver AI-powered solutions from concept through scale • Define success metrics, including cash acceleration, denial reduction, precision/recall, and adoption metrics • Lead client-facing and executive product strategy discussions • Influence product and organizational direction through AI thought leadership, market insights, technical fluency, and healthcare expertise • Mentor Product Managers and elevate AI product management methods and standards
• 10+ years of product management experience, including ownership of complex SaaS or enterprise platforms • Deep healthcare experience, with strong preference for Revenue Cycle Management or Revenue Integrity domains • Proven experience productizing AI/ML, generative AI, agentic, or AI platform capabilities from experimentation through production deployment and scaled adoption • Strong working fluency in large language models, agent architectures and tool use, retrieval-augmented generation, prompt and context design, predictive modeling, evaluation frameworks, human-in-the-loop systems, and production monitoring • Ability to partner credibly with Engineering and application teams • Demonstrated ability to define and execute AI-first product and platform strategies tied to measurable business outcomes • Exceptional client-facing communication skills and ability to translate complex AI concepts into clear business value • Strong analytical and strategic thinking, including ability to interpret data trends and model outputs • Experience influencing cross-functional teams and senior leaders without formal authority • Experience operating in Agile environments and managing multiple delivery teams • Ability to thrive in ambiguity and fast-paced, innovation-driven environments
• Competitive benefits package • Opportunity to constantly learn and collaborate across groups • Career development opportunities • Meaningful work serving communities around the world • Equal employment opportunity and reasonable accommodation support
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