---
title: 'Subject Matter Expert, Workforce & Labor Productivity at Translucent'
canonical: 'https://feeny.ai/job/subject-matter-expert-workforce-labor-productivity-translucent-new-york-city-t9dkze3m2kzq'
type: 'job'
last_seen: '2026-09-04'
---

# Subject Matter Expert, Workforce & Labor Productivity at Translucent

- **Company:** Translucent
- **Location:** New York City, NY
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/translucent/jobs/4367054009

## 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

Labor is the largest line on most provider income statements and among the hardest to reason about, because a staffing variance can be a model problem, a demand problem, or a byproduct of the competitive landscape. As our subject matter expert for this domain, you will bring that judgment into the product itself, shaping how our agents reason about premium labor, staffing to census, and productivity standards, while holding model output to the standard a healthcare workforce 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 healthcare workforce and productivity management 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 workforce and labor workflows
- Build proprietary benchmarks and datasets to evaluate models and AI agents against real-world workforce tasks including, but not limited to: agency and premium labor analysis, staffing-to-census matching, productivity benchmarking, overtime and incentive-shift attribution, and schedule variance review
- Partner with customer delivery to understand our customer’s staffing and scheduling cycles, identify pain points, and translate complex operational and financial requirements into technical solutions

## WHAT YOU HAVE

- 7+ years in healthcare workforce operations, nursing operations, staffing management, or an equivalent function, ideally with exposure to premium labor, productivity standards, and labor budgeting
- Strong proficiency with time-and-attendance and scheduling systems (UKG/Kronos, API Healthcare, or similar) and labor benchmark sources (Premier, Vizient, or similar), plus fluency in productive versus non-productive hours and worked-hours-per-unit-of-service definitions
- 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 workforce operations, 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 workforce management and AI
- Willingness and desire to do work in the trenches — e.g., grading model-flagged staffing variances against what a manager actually faced that shift, reconstructing schedules to trace where premium pay originates, checking flex decisions against census by hand. Getting AI to reason about staffing requires a lot of reasoning about staffing

## NICE TO HAVE

- Experience at a high-growth startup, or across multiple labor markets and union environments
- 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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