Subject Matter Expert, Managed Care & Payor Contracting

Role Details

• Full-Time
• Office Location - New York City (preferred)

Role Overview

Contract terms determine what a health system is owed, but that language lives in amendments, appendices, and institutional memory rather than anywhere a system can easily query. As our subject matter expert for this domain, you will bring that judgment into the product itself, shaping how our agents read contract language, model expected reimbursement, and monitor payor behavior, while holding model output to the standard a working contracting leader would apply.

This position reports to Adam Albrecht, Head of Domain Intelligence.

What You'll Do

To facilitate the development of these systems, you will

• Develop and deliver subject matter expertise in managed care contracting and payor strategy to support AI product development and customer margin realization
• Work closely with our engineering, product, and design teams to define and develop AI systems for contracting and payor performance workflows
• Build proprietary benchmarks and datasets to evaluate models and AI agents against real-world contracting tasks including, but not limited to: contract clause extraction and classification, expected-reimbursement modeling, payor policy monitoring, value-based contract reconciliation, and renewal scenario analysis
• Act as the company's direct line of insight into upcoming policy changes across the managed care landscape
• Partner with customer delivery to understand our customer's contracting cycles, identify pain points, and translate complex contractual and financial requirements into technical solutions

What You Have

• 7+ years in managed care contracting, payor strategy, network management, or an equivalent function, ideally with exposure to rate modeling, term negotiation, and payor performance monitoring
• Strong proficiency with contract modeling and management tools (Epic contracts, nThrive, Strata, or similar) and Medicare fee-schedule mechanics (PFS, OPPS, IPPS) as the reference most commercial terms are built against
• Ability to convert workflows and hypotheses into structured data, rules, and logic for algorithms and quality measurement as well as the expertise to link data points that may not already speak to each other in ways that enhance performance
• Demonstrated ability to deliver high-quality analyses on demanding deadlines
• Ability to effectively communicate with a variety of internal and external stakeholders and translate complex problems between contracting, legal, product, and engineering teams
• Ability to define positive outcomes in situations with underspecified success criteria
• Deep intellectual curiosity and eagerness to learn across domains, particularly at the intersection of payor contracting and AI
• Willingness and desire to do work in the trenches - e.g., reading contract amendments to build a structured clause taxonomy, grading model-extracted terms line by line, reconciling paid-versus-expected at claim level to prove a model got it right. Getting AI to read a contract like an operator requires a lot of reading contracts like an operator

Nice to Have

• Experience at a high-growth startup, or on both the provider and payor side
• Familiarity with SQL, Python, or other data tools
• Prior exposure to AI/ML concepts or prompt engineering

Anticipated compensation: $175,000 - $250,000 and Equity