Security Engineer, AI Vulnerability Management

RobinhoodMenlo Park, CA
Hybrid

About The Position

Robinhood is seeking a Security Engineer specializing in AI Vulnerability Management to join their elite team. This role involves applying frontier technologies to financial problems, focusing on building systems and practices to protect the company's platform, infrastructure, and customers at scale. The Security Engineering team collaborates with other engineering teams to reduce security risks through automation, visibility, and secure tooling. The AI Vulnerability Management role specifically aims to enhance vulnerability management capabilities using automation, scalable tooling, and AI-assisted workflows. Responsibilities include developing integrations, improving security visibility, supporting incident response, and creating reliable remediation workflows. This position is based in the Menlo Park office, requiring at least 3 days per week in-person.

Requirements

  • 3+ years of experience in security engineering, infrastructure security, or security automation roles
  • Proficiency in Python or Go, including experience building scalable internal tools, APIs, or automation workflows
  • Experience working with AWS, Kubernetes, or modern cloud-native infrastructure environments
  • Familiarity with vulnerability management concepts, including CVSS, exploitability analysis, and remediation prioritization
  • Experience using security tooling such as Snyk, Semgrep, Wiz, EndorLabs, or TruffleHog
  • This position is restricted to US citizens or lawful permanent residents due to legal requirements.

Responsibilities

  • Build and maintain automation workflows that support vulnerability discovery, prioritization, and remediation across cloud and application environments
  • Develop tooling and integrations that connect vulnerability findings with infrastructure context, runtime data, and threat intelligence signals
  • Create CI/CD guardrails and developer workflows that help prevent common security issues from reaching production systems
  • Support the response to high-priority vulnerabilities and zero-day events through analysis, remediation coordination, and exposure assessment
  • Build dashboards and reporting workflows that translate security findings into clear operational insights for engineering teams and leadership

Benefits

  • Performance-driven compensation with multipliers for outsized impact
  • Bonus programs
  • Equity ownership
  • 401(k) matching
  • 100% paid health insurance for employees
  • 90% coverage for dependents on health insurance
  • Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance
  • Fertility benefits
  • Mental health benefits
  • Company holidays
  • Paid time off
  • Sick time
  • Parental leave
  • Catered meals
  • Events
  • Comfortable workspaces
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service