3 months ago
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 builds an AI-powered lending marketplace and cloud software that connect consumers to banks and credit unions for personal, auto, and home-equity credit. Lenders use Upstart’s credit models and applications to automate originations, while Upstart earns platform and referral fees. Founded in 2012 and headquartered in San Mateo, California, Upstart is a public company listed on NASDAQ under the ticker UPST.