AI-powered credit underwriting and loan decisioning platform
TomoCredit builds AI-driven credit underwriting and loan decisioning for lenders and consumers. The hiring profile is heavily weighted toward marketing (12 roles) and product/engineering (8 combined), with accelerating velocity—a pattern that signals early-stage demand generation and product-market refinement rather than infrastructure scaling. The tech stack is consumer-facing (React, React Native, Braze, Mixpanel) layered over data infrastructure (PostgreSQL, Redshift, Lambda), and the project list centers on activation, conversion, and personalization, indicating the company is balancing core lending product with go-to-market motion.
Notable leadership hires: Marketing Director
TomoCredit operates an AI and machine learning platform for credit underwriting and loan decisioning, positioned at the intersection of fintech and consumer lending. The platform enables lenders to expand their addressable markets by automating and improving credit risk assessment, while helping consumers access credit products and manage personal finances. Based in San Francisco with 51–200 employees, the company is growing across marketing, product, and engineering. The technical foundation spans React and Node.js front-ends, AWS infrastructure (Lambda, RDS, Redshift), and behavioral analytics (Mixpanel, Braze). Current challenges include replacing legacy credit systems, optimizing conversion funnels, and scaling paid social acquisition.
TomoCredit uses React, React Native, Node.js, and TypeScript for application development; PostgreSQL and Redshift for data; AWS Lambda, RDS, and EBS for cloud infrastructure; and Mixpanel, Braze, and Hightouch for analytics and activation.
Current projects include an activation and conversion engine, AI-powered personalization, segmentation strategies, paid social media scaling, full-funnel lifecycle strategy, and general ledger financial close processes.
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