---
title: 'Subject Matter Expert, Managed Care & Payor Contracting at Translucent'
canonical: 'https://feeny.ai/job/subject-matter-expert-managed-care-payor-contracting-translucent-new-york-city-rmvhksjmajm2'
type: 'job'
last_seen: '2026-09-04'
---

# Subject Matter Expert, Managed Care & Payor Contracting at Translucent

- **Company:** Translucent
- **Location:** New York City, NY
- **Posted:** 2026-08-11
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/translucent/jobs/4364242009

## Job description

## ROLE DETAILS

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

## WHY TRANSLUCENT

Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.

Translucent is changing that. We’re building the AI-native financial platform designed exclusively for healthcare — giving every finance team, department, and service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.

Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we’ve already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we’re just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place.

## 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

## About Translucent

## Company Overview
- **One-liner**: Translucent is an agentic AI platform that serves as healthcare’s financial operating system, giving finance and clinical operators real-time visibility and root-cause analysis across claims, labor, clinical output, P&L, budgets, and contract economics.
- **Entity Type**: Private (Series A, $27M led by GV in March 2026; total funding $34M)
- **Headquarters**: New York, New York, United States
- **Founded**: 2024
- **Founders**: Jack O’Hara (CEO) and Max Jones (Co-Founder)

## Core Business
- **Primary industry**: Healthcare financial technology (Hospitals and Health Care)
- **Target customers**: B2B – health systems, medical groups, and hospitals (from large multi-billion-dollar organizations to small rural hospitals)
- **Mission/purpose**: Automate manual data work so healthcare finance teams can focus on moving the margin, giving hospitals the financial clarity to thrive while delivering excellent patient care.

## Products & Services
- **Translucent Platform**: A unified SaaS platform that connects six domains of financial truth – Claims, Labor, Clinical Output, P&L, Budget & Forecasts, and Contract Economics. AI agents analyze millions of scenarios in real time, delivering full traceability from enterprise totals to individual transactions. The platform enables finance teams to act on current data instead of waiting for month-end reports.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $34M (Seed $7M led by NEA in September 2025; Series A $27M led by GV in March 2026)
- **Notable Investors/Partners**: GV (Google Ventures), New Enterprise Associates (NEA), FPV Ventures, Virtue, Redesign Health
- **Growth Signals**: Headcount grew 357% year-over-year (to 23 employees as of mid-2026); expanding from NYC to Australia; active hiring across engineering, insights, and delivery roles; strong LinkedIn follower growth (+8993% yearly); customer testimonials from CFOs at Northwestern Medicine and Sutter Health.

## Competitive Advantages
- **Agentic AI at scale**: AI agents simultaneously analyze millions of scenarios across every dimension of healthcare finance – a scale no human team could achieve.
- **Unified data across six domains**: Breaks down silos between claims, labor, clinical output, P&L, budgets, and contract economics, providing full traceability.
- **Real-time, proactive decision-making**: 24/7 AI agents enable teams to act on current data, eliminating month-end reporting delays.
- **Force multiplication**: Customers report 97% of routine financial analysis completed without manual effort, 56% increase in charges from the same provider cohort, and 17% increase in finance team capacity without adding headcount.

## Strategic Focus
- Scale the financial operating system for healthcare, deepening integration with health systems and expanding the agentic AI capabilities to cover more financial workflows. Recent Series A funding will accelerate product development and go-to-market.

## Why Work Here
- **Culture**: Values include “Iterate with Urgency” (ship real vs. perfect), “Default to Lean” (constraints as creative fuel), “Focus Relentlessly” (say no to good ideas), “Own the Outcome” (full responsibility), “Earn & Extend Trust” (transparency), and “Share Context Freely.”
- **Work environment**: NYC preferred for most roles; hybrid/office policy not explicitly stated but headquarters in New York.
- **Notable perks/engineering culture**: Small, fast-growing team (23 people) with high ownership; technical stack includes Python, TypeScript, React, Java, Swift, Google Cloud, Vercel, Datadog, Prometheus, and more. Current open roles: Senior AI Engineer, Senior Fullstack Software Engineer, FP&A Applied Researcher, Healthcare Actuary Applied Researcher, Healthcare Economist Applied Researcher, Technical Recruiter.
- **Growth opportunity**: Joining at an early stage (founded 2024) with rapid headcount expansion and strong investor backing – opportunity to shape the product and culture.

## Sources
1. [translucent.ai](https://www.translucent.ai/)
2. [translucent.ai/careers](https://www.translucent.ai/careers)
3. [LinkedIn](https://www.linkedin.com/company/translucentai)
4. [Translucent Blog – Series A Announcement](https://www.translucent.ai/blog/translucent-ai-raises-27m-series-a-led-by-gv)
5. [Greenhouse Jobs Page](https://job-boards.greenhouse.io/translucent)

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