Robinhood is looking to solve the business and technical problem of protecting and responsibly managing customer data across its platform, ensuring trust, transparency, and compliance in every data flow, especially with evolving regulatory expectations and accelerating AI innovation.
Requirements
- Strong coding and problem-solving skills with proficiency in Python or Go (or similar languages)
- Experience with server-side frameworks such as Django or GoLang
- Familiarity with Kubernetes, AWS, and cloud-native development
Responsibilities
- Design and build backend services and automation frameworks that instrument, govern, and enforce data usage, retention, and access policies across Robinhood’s online and analytical systems.
- Partner with AI/ML, Risk, and Privacy teams to operationalize governance and compliance in emerging AI systems, including ML Models and Agentic AI workflows
- Enable governance Robinhood’s offline analytical systems and new data infrastructure workflows
- Build internal tools and automation that strengthen our enterprise data governance posture by enabling auditability, data integrity, and privacy respecting design across our infrastructure
- Own end-to-end delivery of governance solutions from design and prototyping to production deployment driving measurable impact in data reliability, compliance readiness, and trust
Other
- This role is based in our Menlo Park, CA or Bellevue, WA offices, with in-person attendance expected at least 3 days per week.
- Excellent communication skills with a proven ability to work cross-functionally
- Curiosity and drive to navigate complex systems, regulatory requirements, and fast-changing technology
- Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
- Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
