CURE is a nonprofit reciprocal exchange founded in 1990 to offer car insurance priced primarily on driving record, rejecting education, occupation, and credit-based rating used by competitors. The tech stack—Guidewire, Snowflake, Kafka, dbt, Spark—reveals a data-heavy operation, yet hiring is skewed 11:1 toward legal and claims staff over engineering and data roles, suggesting the business is litigation-heavy (PIP claims dominate pain points) and scaling through legal infrastructure rather than platform innovation.
CURE insures drivers in the United States as a nonprofit mutual insurer, operating under a reciprocal exchange model. The company emphasizes driving-record-based pricing and explicitly excludes demographic factors (education, occupation, credit score) from underwriting. Currently expanding into new state markets, CURE is managing a complex caseload of personal injury protection and insurance defense litigation. The organization operates with 201–500 employees, headquartered in Princeton, NJ, and is hiring primarily for legal, claims processing, and customer service roles.
Guidewire (core insurance platform), Snowflake and BigQuery for data warehousing, Kafka and Kinesis for streaming, dbt for transformation, and Apache Spark for batch processing. Also uses Westlaw for legal research and Duck Creek for underwriting.
Princeton, New Jersey. CURE was founded in 1990 and operates as a nonprofit reciprocal exchange, currently hiring only in the United States.
CURE Auto Insurance (Citizens United Reciprocal Exchange)'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.