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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 a critical pain point: healthcare finance teams spend excessive time on manual data work rather than strategic decision-making.
As Subject Matter Expert for Pharmacy & Supply Chain, you will be the domain authority shaping how AI agents reason about contract pricing, tier compliance, and 340B integrity. Your expertise will directly influence product development and ensure model outputs meet the standards that working pharmacy and supply chain leaders would apply.
Key responsibilities include:
- Develop and deliver subject matter expertise in pharmacy economics and healthcare supply chain to support AI product development and customer margin realization
- Work closely with engineering, product, and design teams to define and develop AI systems for pharmacy and supply chain workflows
- Build proprietary benchmarks and datasets to evaluate models and AI agents against real-world sourcing and pharmacy tasks, including distributor and contract price audit, GPO tier compliance, 340B capture and integrity review, item master normalization, and cost-to-reimbursement analysis
- Partner with customer delivery to understand purchasing and value analysis cycles, identify pain points, and translate complex financial and clinical requirements into technical solutions
You bring 7+ years in hospital pharmacy business operations, supply chain, value analysis, or equivalent function, with exposure to contract pricing, purchasing compliance, and spend management. You have strong proficiency with ERP and materials systems (GHX, Premier, PeopleSoft), item master structure, GPO tier mechanics, and 340B split-billing platforms. You can convert workflows and hypotheses into structured data, rules, and logic for algorithms. You excel at communicating with diverse stakeholders—clinicians, supply chain leaders, product teams, and engineers—and can translate complex problems across domains. You're willing to do detailed analytical work, such as grading model-flagged invoice lines and normalizing item masters by hand.
Nice-to-have skills include startup experience, familiarity with physician preference items and service-line sourcing, SQL/Python proficiency, and exposure to AI/ML concepts.
