Software Engineer, Distribution Platform
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
backend distributed systems · data pipelines · audience segmentation · marketing attribution · data processing systems · databases · fault tolerance · monitoring · observability · data modeling
About Upstart
AI lending marketplace connecting consumers with bank and credit union partners across personal, auto, home-equity, and revolving-credit products.
Public · 1000–2000 people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
having a direct impact on Upstart's mission and growth. The team is responsible for some of our highest value distribution channels including digital ads, direct mail, and partner integrations. Our goal is to build an intelligent, unified system that learns, automates, and scales how Upstart engages with our customers on these channels. As a Software Engineer on the Distribution Platform team at Upstart, you will be instrumental in helping us create the tools and systems to target the right users with the right content at the right time. You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning, and Product to create a scalable marketing platform that mobilizes Upstart’s owned channels to drive users to our products efficiently. How you’ll make an impact Work with cross functional partners including product managers, designers, machine
More from the job description
About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way [... source excerpt omitted ...] s including digital ads, direct mail, and partner integrations. Our goal is to build an intelligent, unified system that learns, automates, and scales how Upstart engages with our customers on these channels. As a Software Engineer on the Distribution Platform team at Upstart, you will be instrumental in helping us create the tools and systems to target the right users with the right content at the right time. You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning, and Product to create a scalable marketing platform that mobilizes Upstart’s owned channels to drive users to our products efficiently. How you’ll make an impact Work with [... source excerpt omitted ...] o users in a scalable and efficient manner Make architectural contributions and decisions to improve the reliability of our software and maintainability of our code base Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 3 years of experience Strong proficiency in one or more programming languages such as Ruby, Java, Kotlin, Python, or Javascript Experience building scalable APIs and microservices in a cloud-based environment (e.g., AWS, GCP). Experience leading small to medium sized projects over multiple months and/or multiple engineers Excellent written and verbal communication skills with the ab
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