About the job
Be a Part of the Financial Revolution.
Our goal is to make finance accessible to everyone. With an anticipated transfer of $124 trillion in assets passing to younger generations in the coming two decades, we stand at the forefront of a monumental cultural and financial transition. If you are eager to contribute to this pivotal moment in history, we invite you to read on.
About Our Team and Your Role
We are assembling a top-tier team dedicated to applying cutting-edge technologies to tackle the most pressing challenges in finance. We seek imaginative thinkers and adept problem-solvers, individuals who are driven to make a difference. At Robinhood, complacency is not an option; it is a place where ambitious professionals can excel. We are a dynamic team with high ethical standards, where expectations are elevated, and so are the rewards.
We perceive security as a challenge of engineering and design rather than merely administrative. We are in search of a lead architect for our innovative automated defense systems. As a Senior Vulnerability Management Engineer, you will evolve our program into a self-sustaining security platform that goes beyond traditional "scan-and-patch" methodologies. Your leadership will drive the transition to an Intelligence-Driven Defense model through the integration of Agentic AI and Machine Learning, automating the identification, prioritization, and mitigation of risks at scale, ultimately reducing security costs for our developers.
This position is based in our Menlo Park, CA office, with a requirement for in-person attendance at least three days per week.
We believe that in-person collaboration accelerates progress, ignites innovation, and fosters community. Our office environment is deliberately crafted to energize and support high-performing teams.
Key Responsibilities
- Strategic RBVM Vision: Serve as the technical lead, establishing a multi-year strategy and guiding the transition to Risk-Based Vulnerability Management (RBVM), prioritizing vulnerabilities based on actual exploitability and business relevance.
- Architect Agentic AI Systems: Design and implement AI agents that autonomously triage findings, correlate threat intelligence, and produce actionable remediation solutions (e.g., automated Pull Requests for dependency updates and configuration drift).
- Develop Exposure Intelligence: Create systems that link vulnerabilities with runtime context to enhance overall security posture.
