
Job Overview
Location
United States | Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
April 14, 2026
Full Job Description
đź“‹ Description
- • As a Software Engineer on the Borrower Experience team at Upstart, you will design and deliver borrower-facing features across web, mobile, and AI-powered experiences to improve self-service outcomes and payment success, directly contributing to the mission of reducing the cost and complexity of borrowing for all Americans.
- • Day to day, you will translate servicing workflows into intuitive, scalable product experiences, build and maintain full-stack systems integrating backend services with modern frontend frameworks, drive experimentation through A/B testing and analytics, and partner with Product, Design, Analytics, and Engineering to deliver high-quality solutions that reduce friction and inbound contact volume.
- • You will join Upstart’s Borrower Experience (BX) team, responsible for evolving the borrower-facing servicing experience across digital channels, working within a digital-first culture that values in-person connection through quarterly onsites and supports collaboration across 80+ cities in the US and Canada, with optional office presence in Columbus, Austin, the Bay Area, or New York City.
- • In this role, you will deepen your expertise in full-stack engineering, AI-integrated systems, and scalable distributed architectures while contributing to architectural decisions that unify systems into a cohesive, trusted borrower experience, advancing both your technical impact and professional growth in a mission-driven fintech environment.
Skills & Technologies
About Upstart Holdings, Inc.
Upstart Holdings, Inc. operates a cloud-based lending platform that uses artificial intelligence to assess borrower credit risk beyond traditional FICO scores. Founded by ex-Googlers in 2012 and headquartered in San Mateo, California, the company partners with banks and credit unions to originate personal, auto refinance, and small-dollar loans. Its machine-learning models analyze education, employment, and cash-flow data to predict default likelihood, enabling higher approval rates and lower APRs for consumers while reducing fraud and loss rates for lenders. Upstart earns fees from loan facilitation, servicing, and referral services; it does not hold loans on its balance sheet.
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