AI personal finance agent for consumer credit, debt and underwriting
TomoCredit builds AI-driven consumer credit products, pairing ML underwriting with an app built on React Native, GraphQL/Apollo and Node.js on AWS. The hiring mix tilts heavily toward marketing, led by a Marketing Director search, and the growth tooling (Braze, Hightouch, Mixpanel, Snapchat and Google Ads) points to a push on paid acquisition, activation and conversion rather than core platform builds.
Notable leadership hires: Marketing Director
TomoCredit is a privately held San Francisco company with 51–200 employees. It develops an AI personal finance agent that helps consumers handle debt, build credit and manage daily finances. Behind the consumer product, the company applies machine learning to credit underwriting and loan decisioning, positioning its models as a way for lenders to reach more borrowers. Hiring is concentrated in the United States across marketing, engineering, product and finance.
TomoCredit runs React, React Native, TypeScript, GraphQL/Apollo and Node.js on AWS (Lambda, RDS, EBS, CloudWatch), with PostgreSQL and Redshift for data, plus Braze, Hightouch, Mixpanel and HubSpot for growth.
Yes. Marketing is the largest hiring area at TomoCredit, including a Marketing Director role, with smaller openings in engineering, product and finance, all in the United States.
Current initiatives include an activation and conversion engine, AI-powered personalization, lifecycle marketing campaigns, and influencer and social media programs to grow its consumer base.
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TomoCredit'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.