Senior Product Manager, Agentic AI

Revecore • Remote,

1d • Remote

About The Position

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.

Requirements

• Bachelor’s degree in Business, Computer Science, Information Systems, or a related field; or equivalent work experience (required).
• Experience translating ambiguous business objectives into clear, measurable outcomes and driving execution to deliver on them.
• Demonstrated experience in a product management role, ideally 3-5 years, with a track record of owning a backlog and writing clear PRDs (required).
• Experience partnering closely with engineering and technical leads on scoping, architecture trade-offs, and phased delivery (required).
• Strong stakeholder management skills, with experience translating business requests into well-scoped technical problems (required).
• Proven ownership in building process and roadmap from scratch — driving accountability and outcomes without the benefit of an established playbook (required).
• Strong analytical and problem-solving skills, comfortable reasoning through ambiguous problems across business and technical domains.
• Excellent written and verbal communication skills, with the ability to translate effectively between technical and non-technical audiences.
• Collaborative mindset with a partnership-oriented approach and the ability to build trust across engineering and business stakeholder teams.
• Demonstrated resilience operating in a brand-new, undocumented environment — building process and roadmap simultaneously, with no established playbook to fall back on.
• Attention to detail and a strong sense of ownership over the backlog, PRDs, and prioritization decisions.
• Ability to prioritize effectively and make well-reasoned trade-off decisions in a fast-paced, ambiguous environment.
• Experience with Agile delivery practices including backlog management, sprint planning, and requirements definition.

Nice To Haves

• Master’s degree or advanced coursework in a technical or business discipline (preferred).
• Healthcare revenue cycle management (RCM) or claims/billing domain experience (preferred).
• Experience shipping AI/ML and agentic AI solutions from concept to delivery (preferred).
• Familiarity with AWS (Bedrock or similar) or working alongside a platform/infrastructure team (preferred).
• Background in ops/revenue-cycle consulting, healthcare billing, or a related regulated industry (preferred).

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 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 discovery and refinement for new candidate applications and teams (e.g., Acclaim, Sales, Client Success) before committing to build.
• Represent the Agentic AI team in cross-functional planning and stakeholder reviews.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree