Senior Software Engineer Foundations

The Team: 

Upstart’s Foundations team builds and maintains the large-scale data platforms that support Growth marketing initiatives across the business. The team powers audience segmentation marketing campaign enablement and user session attribution systems that directly influence customer acquisition and loan conversion outcomes.

As a Senior Software Engineer at Upstart you will help scale and extend backend data systems that enable high-quality reliable marketing data workflows. You will partner closely with engineering product and marketing stakeholders to improve data availability maintainability and observability while supporting business-critical marketing operations.

How you’ll make an impact

• Build and maintain scalable backend systems and data pipelines that support audience segmentation and marketing attribution workflows
• Partner with product managers marketers and engineers to deliver data solutions that support customer acquisition and conversion goals
• Extend existing data infrastructure to support increasing data volumes evolving business requirements and new integrations
• Contribute to data quality initiatives by implementing monitoring validation and guardrail mechanisms across critical datasets
• Participate in technical discussions around architecture access patterns and platform scalability to support long-term platform growth

Minimum Qualifications 

• Bachelor’s degree in Computer Science Engineering or Mathematics or a related field (or its equivalent) + 4 years of experience
• 5+ years of experience building and maintaining backend distributed systems or large-scale data platforms
• Experience working with data processing systems databases or data pipelines in production environments
• Experience implementing fault tolerance monitoring and observability practices for backend systems
• Experience collaborating cross-functionally with engineering product or business stakeholders to deliver technical solutions

Preferred Qualifications

• Knowledge of data modeling and schema design best practices for large-scale data systems
• Experience supporting marketing technology attribution or customer segmentation platforms
• Familiarity with data governance privacy and PII security considerations
• Ability to balance short-term feature delivery with long-term platform maintainability and scalability
• Experience contributing to architectural discussions and improving engineering best practices across teams

Position location This role is available in the following locations: Remote 

Travel requirements As a digital first company the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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What We Do

Upstart is the leading AI lending marketplace connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart’s AI models and cloud applications to deliver superior credit products. With Upstart's AI lenders can approve more borrowers at lower rates across races ages and genders while delivering the exceptional digital-first experience customers demand. More than 80% of borrowers are approved instantly with zero documentation to upload. Founded in 2012 Upstart’s platform includes personal loans automotive retail and refinance loans home equity lines of credit and small-dollar “relief” loans. If you are energized by the impact you think you could make at Upstart we'd love to hear from you!

Why Work With Us

Connection to our mission creates a special environment where people feel passionately about the impact they make in the world. Upstart is fast-paced and we encourage ownership at all levels of the organization. As a result culture at Upstart is driven by Upstarters. Upstarters are proactive talented multi-dimensional and collaborative.

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