Education and personal lending platform with in-house collections operations
Earnest is an Oakland-based consumer lender focused on financing higher education and personal loans, running a TypeScript, Node.js and React stack on AWS with Kubernetes, Terraform and an Airflow-plus-dbt data layer. The newest signal is operational: Verint WFM is being adopted, and job posts center on collections performance, forecasting automation and capacity modeling, pointing to a push to professionalize servicing alongside loan-volume growth.
Earnest is a consumer lending company founded in 2013 and headquartered in Oakland, California, with a remote-first workforce of 201–500 employees. It offers lending products aimed at making higher education more affordable, and it is expanding into personal loans. The company sells directly to consumers through customer-facing web and mobile lending applications. It operates in the United States under NMLS licensing and runs its own customer servicing and collections functions.
Earnest builds with TypeScript, Node.js, React, React Native and PostgreSQL on AWS, using Docker, Kubernetes and Terraform, with Airflow, dbt, Looker and Tableau for data and Braze and HubSpot for engagement.
Yes, hiring is accelerating in the United States, spread across operations, data, engineering, finance and marketing, with a tilt toward manager, senior and director-level roles.
Earnest is rolling out a new workforce management platform (Verint WFM), automating forecasting and scheduling, building an end-to-end collections strategy, scaling its lending ecosystem and defining an AI integration roadmap.
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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.