Better operates a direct mortgage lender with an AI platform (Tinman) at its core, complemented by a voice-based loan assistant (Betsy) launched in late 2024. The tech stack reflects a mature fintech operation: React + Node.js for frontend, PostgreSQL + MySQL + Oracle for data, Salesforce + Encompass for origination workflow, and Looker + Tableau for analytics. Hiring has accelerated across finance and operations roles, while active projects cluster around regulatory compliance, cost reduction per loan, and automation of validation and reporting—indicating a phase focused on operational efficiency and risk management rather than feature velocity.
Notable leadership hires: Sales Contact Center Lead
Better is a publicly traded (NASDAQ: BETR) direct mortgage lender founded in 2016, headquartered in New York. The company has funded more than $100 billion in loan volume and operates across mortgage origination, home equity finance, and real estate services. Better Mortgage Corporation holds NMLS #330511 and is licensed to originate in multiple states. The business model combines direct lending with fintech tooling: Tinman (proprietary AI platform) and Betsy (voice AI assistant) anchor the customer-facing experience, while backend operations rely on Encompass for loan servicing, Salesforce for customer relationship management, and Oracle/PostgreSQL for core data infrastructure. The 1,000–5,000 person organization spans lending, compliance, operations, and technology, with recent hiring velocity concentrated in finance and operations functions.
Better uses React and Node.js for frontend, PostgreSQL and MySQL for transactional data, Oracle for enterprise systems, Salesforce for CRM, Encompass for loan origination/servicing, and Looker/Tableau for analytics. Figma and Sketch handle design workflows.
Active projects include enhancing the Tinman AI platform, improving production efficiency, automating validation and compliance testing, regulatory reporting and examination coordination, and building cost allocation and forecasting models to reduce cost per loan.
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