Senior Security Engineer, AI Vulnerability Management

5+ years in Security Engineering with a track record of leading high-impact automation or security platform initiatives at a Senior or Staff level.

AI & Agentic System Fluency:

Hands-on experience building or deploying agentic systems or LLM orchestration frameworks (e.g., LangChain, AutoGPT) to solve complex security or engineering problems at scale.

Active experience participating in or managing Bug Bounty programs; a deep understanding of how attackers exploit vulnerabilities and how to translate those findings into systemic fixes.

Engineering Excellence:

Strong software engineering background with proficiency in Go or Python and a history of building scalable, API-driven security tooling.

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).

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:

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.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.