Earnest operates a consumer lending business focused on education and personal loans, built on a modern data and engineering stack (Python, React, PostgreSQL, Snowflake, dbt, Airflow). The project and pain-point lists reveal heavy investment in product infrastructure: repayment systems, collections operations, pricing experimentation, and fraud monitoring — suggesting a company scaling lending products and optimizing unit economics through in-house engineering rather than vendor reliance.
Earnest is a public consumer lender headquartered in Oakland, California, offering education and personal loans to individual borrowers. Founded in 2013, the company operates as a remote-first organization with 201–500 employees. The lending platform is built on in-house systems for repayment, collections, pricing, and fraud detection, indicating a vertical-software approach to consumer credit risk and portfolio management.
Frontend: React, React Native, Angular, Redux, TypeScript, Node.js. Backend: Python, PostgreSQL, Kubernetes, Docker. Data: Snowflake, Redshift, dbt, Apache Airflow. Analytics: Looker, Tableau. Infrastructure: AWS, Terraform, Ansible. Credit data via Experian.
Core projects include personal loan program expansion, repayment and collections systems, end-to-end pricing systems, pricing experimentation platforms, and fraud monitoring and analysis.
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Earnest'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.