The Team:
Upstart's Get Back On Track (GBOT) team helps borrowers who fall behind on repayment with responsibility and empathy. Our mission is to support Upstart's growth by helping borrowers return to current status through personalized, effective experiences powered by ML and AI, while building dependable tools that simplify the complexities of debt management for everyone involved.
When borrowers are back on track, all stakeholders benefit. Lenders and investors see stronger performance and greater confidence in Upstart's ecosystem. Borrowers who meet their obligations can maintain or rebuild their credit, improving long-term access to credit. Most importantly when repayment operates efficiently, Upstart can approve more borrowers at better rates, driving business growth and broader societal impact.
As the Senior Engineering Manager for GBOT, you will lead a team of 10+ engineers, partnering closely with Product, Risk, Operations, and Machine Learning to translate business needs into resilient, scalable technical solutions. This role reports to the Sr Director of Engineering and is focused on driving architectural clarity and building systems that balance speed, reliability, and compliance.
How you'll make an impact
- Lead, coach, and develop a high-performing engineering team focused on providing high quality solutions and incrementally increase .
- Foster a collaborative and inclusive team culture that promotes innovation, continuous learning, and excellence.
- Oversee the design, development, and implementation of cross functional projects which drive business outcomes.
- Ensure the reliability, performance, and scalability of customer facing products, leveraging best practices in software engineering.
- Collaborate with architecture and infrastructure teams to ensure alignment with broader engineering goals.
- Partner with product manager, product designer, engineering leaders across Upstart, legal, operations, analytics, and compliance teams to gather requirements and ensure solutions meet business needs and regulatory standards.
- Communicate effectively with stakeholders to keep them informed of project status, risks, and opportunities.
- Manage project timelines and resources to deliver high-quality product solutions on time.
- Implement frameworks to ensure efficient project execution and continuous delivery.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field (or its equivalent) and +10 years of experience, including 5 years of direct people management experience.
- Proven success leading and scaling high-performing engineering teams (e.g., growing headcount, improving delivery metrics, or managing multiple squads)
- Experienced in workflow automation, data integrations, and event-driven architectures that power operational efficiency.
- Demonstrated ability to partner closely with Product, and ML teams to deploy models at scale and build scalable production ready systems
- Exceptional communication skills with the ability to influence technical and non-technical audiences
- Strong analytical, organizational, and strategic thinking skills with a bias for action
Preferred Qualifications
- Experience building products in fintech, credit servicing, or customer support environments
- Background in lending, recoveries, or collections systems with complex policy and compliance requirements.
- Experience developing senior engineers, tech leads, or emerging engineering leaders
- Demonstrated ability to balance speed, quality, reliability, and compliance in high-stakes technical environments
- Experience managing critical production issues in regulated environments where customer impact and compliance intersect.
Position location This role is available in the following locations: Remote
Time zone requirements The team operates on the East/West coast time zones.
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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