Tomo operates a mortgage origination platform built on Python microservices, AWS, and Kubernetes, with heavy reliance on Encompass (industry standard LOS) and workflow automation via Zapier and Windmill. The stack reveals a fintech-ops hybrid: Python engineering for custom automation, but sales-and-operations-heavy hiring (8 sales, 5 ops, 3 finance against 1 engineer) indicates the company is scaling go-to-market and loan manufacturing processes faster than core platform development. Active projects around playbook rewrites and loan manufacturing workflows suggest internal pain around operational efficiency and consistency.
Tomo is a mortgage origination and closing platform targeting originators and brokers with automation and AI to reduce loan-cycle time and cost. Based in New York with 51–200 employees, the company focuses on three operational pillars: streamlining the loan manufacturing process, improving lead-to-close conversion, and modernizing mortgage lending workflows. The tech stack bridges legacy (Encompass, Excel-heavy processes) with modern automation (Python, Kubernetes, Zapier, Windmill), reflecting a business in transition from manual workflows toward programmatic loan operations. Regulated as an NMLS-licensed mortgage lender (NMLS #2059741), the platform is subject to compliance and documentation accuracy requirements.
Python, AWS, Kubernetes for backend; Encompass (loan origination system), Zapier and Windmill for workflow automation; Salesforce and HubSpot for CRM; Tableau for analytics; Twilio Flex and RingCentral for contact center operations.
Tomo Mortgage is headquartered in New York, NY. The company is hiring exclusively in the United States.
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