Upstart Holdings, Inc. logo

Sr. Software Engineer, Personal Loans Engineering

Job Overview

Location

United States | Remote

Job Type

Full-time

Category

Software Engineering

Date Posted

April 6, 2026

Full Job Description

đź“‹ Description

  • • As a Sr. Software Engineer on the Personal Loans Engineering team at Upstart, you will own and improve key steps in the loan application funnel to increase funded-loan conversion and reduce applicant drop-off, directly impacting the company’s mission to expand access to affordable credit through AI-driven lending.
  • • Day to day, you will design and implement cleaner service boundaries and APIs to decouple tightly coupled systems, partner with cross-functional teams including Growth, Verifications Platform, and Risk to deliver end-to-end applicant outcomes, and lead high-stakes changes that improve user experience while maintaining compliance and business continuity.
  • • You will join a mission-driven, digital-first engineering team at Upstart, a leading AI lending marketplace that powers over one million predictions per borrower using 1,800+ signals, with a culture that values in-person connection through quarterly onsites despite remote flexibility across the U.S. and Canada.
  • • In this role, you will deepen your expertise in scalable consumer-facing systems, experiment-driven development, and intelligent automation (e.g., AI-driven nudges), while mentoring other engineers and influencing product-first technical decisions in a regulated fintech environment.

Skills & Technologies

Ruby
React
Rails
AWS
Docker
Senior
Remote
Degree Required

Ready to Apply?

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Upstart Holdings, Inc. logo
Upstart Holdings, Inc.
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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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