
Principal Product Manager
Posted Sep 11

Posted Sep 11
This is a fully remote position, open to applicants in United States.
• Take ownership and lead the product vision, strategy, roadmap, and operational framework for enterprise healthcare RCM platforms.
• Establish and expand the AI product vision throughout the RCM lifecycle, pinpointing automation, predictive, and intelligent decision-making opportunities.
• Conduct discovery processes to identify, validate, and prioritize high-impact opportunities by leveraging customer insights, data analysis, and AI-driven signals.
• Convert AI/ML capabilities into scalable, customer-focused product solutions.
• Collaborate with Engineering, Data Science, and Data Platform teams to create, deploy, and operationalize AI/ML models in a production environment.
• Manage the entire AI product lifecycle, from hypothesis and experimentation to evaluation, workflow integration, production readiness, rollout, monitoring, adoption, and continuous improvement.
• Ensure adherence to responsible AI practices, including data governance, HIPAA compliance, explainability, and bias mitigation.
• Develop compelling business cases and effectively communicate value, ROI, and trade-offs.
• Work in partnership with Product, Engineering, Design, and Operations to deliver AI-powered solutions from initial concept to large-scale implementation.
• Establish success metrics, such as cash acceleration, denial reduction, precision/recall, and adoption metrics.
• Lead product strategy discussions with clients and executives.
• Shape product and organizational direction through AI thought leadership, market insights, technical fluency, and healthcare expertise.
• Mentor Product Managers and enhance AI product management practices and standards.
• Over 10 years of product management experience, including ownership of complex SaaS or enterprise platforms.
• Extensive healthcare experience, particularly in Revenue Cycle Management or Revenue Integrity domains is highly preferred.
• Proven track record in transforming AI/ML, generative AI, agentic, or AI platform capabilities from experimentation to production deployment and scaled adoption.
• Strong working knowledge of large language models, agent architectures and tools, retrieval-augmented generation, prompt and context design, predictive modeling, evaluation frameworks, human-in-the-loop systems, and production monitoring.
• Capability to partner effectively with Engineering and application teams.
• Established ability to define and implement AI-first product and platform strategies linked to measurable business results.
• Exceptional communication skills for client interactions, capable of translating intricate AI concepts into clear business benefits.
• Strong analytical and strategic thinking skills, including the ability to interpret data trends and model outputs.
• Experience in influencing cross-functional teams and senior leaders without formal authority.
• Familiarity with Agile environments and managing multiple delivery teams.
• Ability to excel in ambiguous and fast-paced, innovation-driven settings.
• Competitive benefits package.
• Opportunity for continuous learning and collaboration across various groups.
• Career development opportunities.
• Meaningful work that serves communities globally.
• Commitment to equal employment opportunities and reasonable accommodation support.
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