Senior Product Manager, Agentic AI

Sr Product Manager for Agentic AI Team 

 

Start your next chapter at Revecore! For over 25 years, we’ve been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We’re powered by people, driven by technology, and dedicated to our clients and employees.
 
As part of our team, you’ll be rewarded with:

• Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment 

• 12 paid holidays and flexible paid time off

• 401(k) contributions

• Employee Resource Groups that build community 

• Career growth opportunities

• An excellent work/life balance 

 
Location: Remote – USA 

 
Position Summary 

The Product Manager, Agentic AI is responsible for driving the definition, delivery, and evolution of Revecore’s agentic AI capabilities, starting with Ops. This role partners closely with the Director of AI Engineering, AI Architect, and AI Developers, as well as Data Engineering and Data Science, to turn business problems into well-scoped, phased agentic workflows. The Product Manager operates at the intersection of revenue cycle operations and emerging AI capability — translating ambiguous business needs into clear PRDs and a prioritized backlog, while ensuring the team grows its autonomy responsibly, one earned phase at a time. This role is critical to making sure Revecore’s investment in agentic AI builds real trust with ops analysts and stakeholders, rather than outpacing it. 

 

Key Responsibilities 

• Own day-to-day backlog management for the Agentic AI team — intake, prioritization, and sequencing of work using the team’s scoring framework. 

• Drive the PRD process end-to-end: partner with the AI Architect, AI engineers, and data scientists to scope new agentic use cases, write and maintain PRDs, and shepherd them through review. 

• Serve as the primary intake point for stakeholder requests, translating business needs into well-scoped problems. 

• Partner with the Director, AI Engineering on phase-gate decisions — determining when a workflow is ready to advance from agent-assisted to semi-autonomous, and eventually to fully autonomous. 

• Track and report on adoption, trust, success metrics, and revenue impact for each shipped workflow. 

• Collaborate with Data Engineering and Data Science leads on shared initiatives, including data access and model choices, per the cross-team collaboration model. 

• Facilitate discussions to balance business priorities, technical feasibility, and responsible-autonomy considerations across competing use cases. 

• Translate ops workflows (claims, denials, remits) into a structured engineering backlog — complete with detailed requirements, acceptance criteria, and success metrics for each item. 

• Help build the team’s foundational processes and documentation as we go — planning cadence, discovery templates, and prioritization criteria. 

• Participate in phase-gate reviews to ensure workflows meet trust, accuracy, and adoption thresholds before advancing in within the AI engineering team. 

• Maintain the team’s PRD template and prioritization framework as living documents, refining them as the team learns. 

• Coordinate deep