Sales Executive: Enterprise AI Automation, R37 - Phare

R1 RCM is an innovation lab focused on building AI-native solutions to transform healthcare revenue cycle operations. The Vice President of Sales will drive enterprise adoption of PhareOS, owning revenue growth and managing complex sales cycles in the healthcare sector.

Responsibilities:

• Drive new business with hospitals, health systems, and large provider organizations, selling AI-powered revenue cycle platforms used in production at scale
• Own the full enterprise sales lifecycle, from technical and clinical discovery through solution architecture, value modeling, contracting, and implementation handoff
• Lead complex, multi-stakeholder AI sales cycles, engaging executives across Revenue Cycle, HIM, Compliance, Clinical Leadership, and IT/Security
• Position advanced AI capabilities (e.g., autonomous workflows, human-in-the-loop systems, model governance, accuracy / precision tradeoffs, explainability, and regulatory alignment) in a way that builds executive trust and clinical confidence
• Partner closely with Product, Data Science, and Engineering to translate customer requirements, validation criteria, and regulatory constraints into sales narratives, pilots, and ROI frameworks
• Help shape go-to-market strategy for new AI products and model iterations, incorporating real-world feedback on performance, adoption, and operational impact
• Build repeatable, scalable sales motions, forecasting rigor, and technical enablement as the sales organization grows
• Serve as a credible internal voice of the market, providing clear, analytically grounded feedback on buyer concerns, competitive dynamics, and AI adoption barriers

Requirements:

• Significant experience selling AI-driven healthcare software to enterprise provider organizations (experience with ML-based, autonomous, or decision-support systems strongly preferred)
• Strong understanding of how machine learning systems are commercialized in healthcare, including model performance, deployment at scale, change management, and trust
• Familiarity with revenue cycle operations (coding, CDI, denials, prior auth, HIM) and how AI can meaningfully automate and augment these workflows
• Ability to engage credibly with C-suite, VP, and technical stakeholders, including discussions about AI reliability, compliance, and operational impact
• Highly consultative, intellectually curious, and comfortable navigating ambiguous, evolving AI product roadmaps
• Track record of exceeding revenue targets in high-growth AI, health tech, or vertical SaaS environments