Auto lending enablement with risk analytics and insured loan programs
Open Lending equips banks and credit unions with automated decisioning, risk-based pricing and insurance-backed protection for vehicle loans. Its stack centers on a Databricks lakehouse (Delta Lake, Unity Catalog, Spark Structured Streaming) fed by Kafka and Azure Event Hubs, pointing to streaming credit data pipelines, with OpenAI API in use. Hiring is minimal and focused on claims, suggesting a steady-state operation rather than expansion.
Open Lending, founded in 2000 and headquartered in Austin, Texas, provides automotive lending enablement solutions to financial institutions such as banks and credit unions across the United States. Its flagship offering, Lenders Protection, combines predictive analytics, automated decision technology, risk-based pricing and insurance-enabled risk mitigation. The company is privately held and employs between 201 and 500 people. Its commercial operations run on Salesforce and HubSpot, with Power BI and Tableau used for reporting.
Open Lending runs on AWS, Azure and GCP with Kubernetes and Docker, a Databricks lakehouse with Delta Lake, Unity Catalog and Spark, Kafka and Azure Event Hubs for streaming, plus Python, Power BI, Tableau, Salesforce and HubSpot.
Hiring is currently minimal, with recent activity concentrated in the claims function at mid-level seniority, based in the United States.
Open Lending is headquartered in Austin, Texas, and serves banks, credit unions and other financial institutions across the United States.
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Open Lending'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.