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Salary: USD 175,000 - 250,000 / annual
Translucent is an AI-native financial platform built exclusively for healthcare providers. The company was founded in 2024 and is backed by GV, NEA, FPV, and Virtue. Translucent has already been deployed by healthcare organizations managing over $5 billion in combined revenue, addressing the critical challenge that healthcare finance teams spend more time finding and cleaning data than using it to drive decisions.
As Subject Matter Expert for Clinical Operations & Throughput, you will be the bridge between clinical operations expertise and AI product development. Your role is to embed deep domain knowledge into AI agents that help healthcare organizations optimize patient flow, capacity utilization, and operational margins.
Key responsibilities include:
- Develop and deliver subject matter expertise in clinical operations and patient flow to support AI product development and customer margin realization
- Work closely with engineering, product, and design teams to define and develop AI systems for throughput and capacity workflows
- Build proprietary benchmarks and datasets to evaluate models and AI agents against real-world clinical operations tasks, including length-of-stay variance analysis, operating room block utilization, emergency department flow, imaging and lab utilization review, and discharge barrier identification
- Partner with customer delivery teams to understand customer capacity and flow operations, identify pain points, and translate complex clinical and operational requirements into technical solutions
You bring 7+ years in clinical operations, patient flow, perioperative services, or equivalent function, ideally with exposure to length of stay, clinical utilization, and capacity management. You have strong proficiency with clinical operations and data systems (Epic, financial platforms, analytic tools, Excel) and fluency in throughput metric definitions and their failure modes. You can convert workflows and hypotheses into structured data, rules, and logic for algorithms. You communicate effectively across clinical, financial, operations, product, and engineering stakeholders. You're willing to do detailed analytical work—grading model outputs, hand-auditing cases, pressure-testing capacity gains—to ensure AI reasoning about flow is grounded in operational reality.
Nice-to-have skills include experience at high-growth startups, familiarity with SQL/Python or other data tools, and prior exposure to AI/ML concepts or prompt engineering.
