Senior Security Engineer, AI Vulnerability Management

Job Description

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. At Robinhood, we view security as an engineering and design challenge, not an administrative one. We are looking for a lead architect for our next-generation automated defense systems. As a Senior Vulnerability Management Engineer, you will transform the program into a self-scaling security platform that transcends traditional "scan-and-patch" cycles. You will lead the shift to an Intelligence-Driven Defense model by leveraging Agentic AI and Machine Learning to automate the discovery, prioritization, and remediation of risk at scale, ultimately making security "cheap" for our developers. This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Set Strategic RBVM Vision: Act as the technical lighthouse, defining the multi-year roadmap and driving the move toward Risk-Based Vulnerability Management (RBVM), prioritizing vulnerabilities based on real-world exploitability and business context. Architect Agentic AI Systems: Design and deploy AI agents that autonomously triage findings, correlate threat intelligence, and generate production-ready remediations (e.g., automated Pull Requests for dependency updates and config drift). Build Exposure Intelligence: Develop systems that correlate vulnerabilities with runtime context and infrastructure topology (Kubernetes/AWS) to accurately model real-world blast radius and ensure engineers only fix what is actually exploitable. Automate Triage & Self-Healing: Create "paved roads" and CI/CD guardrails that prevent specific vulnerability categ

Required Skills