Healthcare pricing, contract intelligence and revenue cycle platform
Turquoise builds software that ties healthcare pricing data, payer-provider contracting and revenue cycle workflows together for finance teams. The stack pairs a Django/Python and React/Vue product with a dbt, Airflow, Redshift and Polars data layer plus RAG, pointing to heavy pricing-data processing. Hiring skews sales-led and senior, with Gong, Outreach and Salesloft in place and pain points extending into life sciences and manufacturer contracting.
Notable leadership hires: Strategy Director
Turquoise is a privately held healthcare technology company headquartered in San Diego, CA, with 201–500 employees. Its platform combines healthcare price transparency data, contract intelligence and revenue cycle tooling so finance teams at providers and other healthcare organizations can negotiate and get paid more efficiently. The product is built on Python, Django, PostgreSQL, React, Vue and TypeScript, running on AWS. Hiring is concentrated in the United States across sales, product, engineering, data, design and operations.
Turquoise uses Python, Django, PostgreSQL, React, Vue and TypeScript on AWS, with dbt, Apache Airflow, Redshift, Pandas and Polars for data, plus Salesforce, Gong, Outreach and Salesloft for sales.
Yes. Sales is the largest hiring area at Turquoise, followed by product, with mostly senior-level roles based in the United States and a Strategy Director leadership opening.
Job posts point to digital transformation of healthcare contracting, expanding its price transparency platform, value-based pricing model development, frontend data visualization components and enterprise sales growth.
Other companies in the same industry, closest in size
Turquoise's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.