Job Details

Senior Product Manager - Revenue Cycle Management (REMOTE)

EnableComp provides Specialty Revenue Cycle Management solutions for healthcare organizations, leveraging over 24 years of industry-leading expertise and its unified E360 RCM intelligent automation platform to improve financial sustainability for hospitals, health systems, and ambulatory surgery centers (ASCs) nationwide. Powered by proprietary algorithms, iterative intelligence from 10M+ processed claims, and expert human-in-the-loop integration, EnableComp provides solutions across the revenue lifecycle for Veterans Administration, Workers' Compensation, Motor Vehicle Accidents, and Out-of-State Medicaid claims as well as denials for all payer classes. By partnering with clients to supercharge the reimbursement process, EnableComp removes the burden of payment from patients and provider organizations while enabling accelerated cash, higher and more accurate yield, clean AR management, reduced denials, and data-rich performance management. EnableComp is a multi-year recipient the Top Workplaces award and was recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024 and is among the top one percent of companies to make the Inc. 5000 list of the fastest-growing private companies in the United States for the last eleven years.

Key Responsibilities

• AI Framework Development & Strategy (40%)
• Partner with Engineering to define and deliver agentic AI framework architecture
• Translate complex RCM analyst workflows into automated AI-driven processes
• Oversee development of AI agents for complex claims automation
• Establish governance framework for AI model performance, accuracy, and compliance
• Drive adoption of AI automation into operational workflows with minimal disruption
• Define success metrics and ROI measurement for AI implementation initiatives
• Modern Lakehouse Platform Leadership (35%)
• Lead product strategy for structured and unstructured data aggregation platform
• Collaborate with Engineering on lakehouse architecture decisions and technology stack
• Prioritize data ingestion capabilities based on operational impact and technical feasibility
• Oversee integration between modern lakehouse and legacy .NET SQL database systems
• Establish data governance, security, and compliance frameworks for healthcare data
• Define APIs and data access patterns for both AI agents and operational systems
• Operations Partnership & Legacy Integration (25%)
• Collaborate with RCM Operations leadership to identify automation opportunities
• Translate operational pain points into technical product requirements for AI agents
• Ensure seamless integration between new AI systems and existing .NET 4.5 application
• Partner with operational liaisons to manage change management and user adoption
• Establish KPIs for operational efficiency improvements and accuracy metrics
• Lead cross-functional teams to deliver integrated technology solutions

Requirements & Qualifications

• 7+ years product management experience with 5+ years in senior technical product roles
• Strong technical background in data architecture, AI/ML systems, and enterprise software
• Experience with modern data platforms (lakehouse, data mesh architectures)
• Proven track record with AI/ML product development and agentic frameworks
• Understanding of legacy system integration and modernization strategies
• Healthcare technology experience, preferably in RCM, claims processing, or healthcare payments
• Proven ability to translate business requirements into detailed technical specifications
• Strong background in B2B enterprise software and operational workflow optimization
• Experience identifying and developing adjacent product opportunities
• Financial acumen for ROI analysis and business case development
• MBA or equivalent advanced degree preferred

Special Considerations & Prerequisites

• Technical fluency in healthcare data standards (HL7, X12, FHIR)
• Experience with .NET ecosystem and SQL Server integration patterns
• Change management experience in operational technology transformations
• Strong stakeholder management skills across technical and operational teams
• Strategic thinking with ability to balance technical debt, innovation, and business value