Upstart is a leading AI lending marketplace focused on reducing the cost and complexity of borrowing for Americans. They are seeking a Senior Software Engineer for their Borrower Experience team, responsible for building and evolving borrower-facing servicing experiences across various platforms. The role involves designing scalable solutions to improve borrower interactions and collaborating with multiple teams to enhance service delivery.
Responsibilities:
- Design and deliver borrower-facing features across web, mobile, and AI-powered experiences to improve self-service outcomes and payment success
- Translate servicing workflows into intuitive, scalable product experiences that reduce friction and inbound contact volume
- Build and maintain full-stack systems integrating backend services with modern frontend frameworks
- Drive experimentation through A/B testing, analytics, and observability tools to improve borrower outcomes
- Partner with Product, Design, Analytics, and Engineering to deliver high-quality solutions
- Contribute to architectural decisions and lead initiatives that unify systems into a cohesive borrower experience
Requirements:
- Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
- 4+ years of professional software engineering experience building scalable web and/or mobile applications
- Proficiency in one or more programming languages and modern development frameworks
- Experience designing and building APIs, microservices, and distributed systems in a cloud environment
- Experience leading projects spanning multiple engineers or systems
- Experience building or integrating LLM-powered or agentic systems
- Familiarity with experimentation platforms and analytics tooling
- Experience developing customer-facing financial or fintech products
- Knowledge of modern frontend frameworks and deployment platforms
- Experience working across multiple teams to deliver cohesive user experiences
- Ability to design systems with reliability, safety, and explainability considerations