Base Salary
$165k - $228k/yr
Responsibilities
- Design, build, and operate privacy engineering services supporting user control, data governance, anonymization, pseudonymization, retention, deletion, and auditability.
- Implement privacy-by-design and data minimization controls across products, services, data pipelines, and machine learning systems.
- Build APIs, libraries, services, and developer tools that standardize privacy enforcement across the technology stack.
- Partner with Security, Legal, Compliance, Product, Data, Machine Learning, and Infrastructure teams to define technical privacy requirements.
- Support privacy reviews, data flow assessments, and technical risk assessments for products, data uses, and platform capabilities.
- Improve the reliability, observability, maintainability, testing, monitoring, and documentation of privacy systems.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
- At least 3 years of software engineering experience.
- Experience building and operating production software using languages such as Python, Go, Java, Scala, C++, Rust, or similar.
- Experience building APIs, libraries, backend services, or related systems for data governance, privacy controls, security controls, or data platforms.
- Experience in at least two privacy or security domains, such as anonymization, pseudonymization, retention, deletion, lineage, access control, encryption, audit logging, or data minimization.
- Experience translating privacy, security, compliance, or data protection requirements into software systems or technical workflows.
- Knowledge of privacy-by-design, privacy-enhancing technologies, purpose limitation, consent, retention, deletion, and data subject rights.
- Preferred experience with data governance systems, data catalogs, lineage tooling, personally identifiable information detection, redaction, or automated policy enforcement.
- Preferred experience supporting privacy reviews, threat modeling, data flow mapping, or technical risk assessments.
- Experience with machine learning systems, financial services, lending, or another regulated data environment is preferred.
Benefits
- Digital-first remote work arrangement across most of the U.S., with team onsites typically once or twice per quarter for 2–4 consecutive days.
- Medical, dental, vision, wellness resources, and health savings account contributions for eligible plans.
- 401(k) or Group Retirement Savings Plan with company match, plus an Employee Stock Purchase Plan for eligible U.S. employees.
- Life insurance, disability coverage, paid time off, sick leave, company holidays, and paid family and parental leave.
- Family-centered fertility, parenthood, and caregiving benefits, plus an Employee Assistance Program.
- Annual wellness and productivity allowances, financial wellness resources, team events, and employee resource groups.
- Onsite catered lunches and stocked micro-kitchens at company offices.
About Upstart
Upstart (NASDAQ: UPST) 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 AI, lenders can approve more borrowers at lower rates while delivering the exceptional digital-first experience customers demand. More than 90% of loans are fully automated, with no human intervention by Upstart. Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans. Upstart is based in San Mateo, California. Upstart Network, Inc. NMLS #936133 | All mortgage lending conducted by Upstart Mortgage, LLC. NMLS #2443873 nmlsconsumeraccess.org