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Senior Privacy Engineer

Upstart
CompanyUpstart
CategoryEngineering
LocationUnited States | Remote
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted7 Jul 2026
Last verified3 Aug 2026
SourceEmployer ATS (greenhouse)
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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 1,800 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 that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team:  Upstart’s Privacy Engineering team builds the systems, tools, and technical controls that help protect borrower, applicant, partner, and Upstarter data across our products and platforms. The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning to make privacy-by-design practical and scalable. As a Privacy Engineer II at Upstart, you will build software and services that embed privacy controls into the core architecture of Upstart’s products and technical systems. You will help implement privacy-enhancing technologies, data minimization patterns, and governance tooling that support responsible data use across Upstart’s AI lending marketplace. How you’ll make an impact  Design, build, and operate privacy engineering services that support user control, data governance, anonymization, pseudonymization, retention, deletion, and auditability Implement privacy-by-design patterns and data minimization controls across Upstart’s products, services, data pipelines, and machine learning systems Build APIs, libraries, services, and developer tools that help engineering teams standardize privacy enforcement across the technology stack  Partner with Security, Legal, Compliance, Product, Data, Machine Learning, and Infrastructure teams to translate privacy requirements into clear technical specifications  Support privacy reviews, data flow assessments, and technical risk assessments for new products, data uses, and platform capabilities  Improve the reliability, observability, and maintainability of privacy systems through testing, monitoring, documentation, and thoughtful technical design Minimum Qualifications   Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience, and 3+ years of experience in software engineering Experience building and operating production software systems using programming languages such as Python, Go, Java, Scala, C++, Rust, or similar languages  Experience building APIs, microservices, libraries, or backend services that support data governance, privacy controls, security controls, or data platform capabilities  Experience with at least two privacy or security domains such as anonymization, pseudonymization, data retention, delet
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