Senior Security Engineer, AI Vulnerability Management

Robinhood

Hybrid

Quick summary

Work type: Hybrid
Location: Menlo Park, CA
Salary: $187,000–$220,000 / yr
Posted: 51 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k

This role $204k

$158k most similar roles pay here $244k

This role pays more than 55% of similar roles. Most pay $166,500–$235,750 — the shaded band above. At the midpoint, this role pays about $204k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 81 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 80 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Security Engineer, AI Vulnerability Management

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As a Senior Security Engineer at Robinhood, you will join the team responsible for transforming security from an administrative task to an engineering challenge. Your role involves leading the development of next-generation automated defense systems that leverage Agentic AI and Machine Learning to automate vulnerability management, prioritization, and remediation at scale. You will set strategic vision for Risk-Based Vulnerability Management (RBVM), architect agentic AI systems, build exposure intelligence tools, and create self-healing CI/CD pipelines. Key technologies include Go or Python, AWS, Kubernetes, and platforms like Snyk and Semgrep. Ideal candidates have 5+ years of experience in Security Engineering with a focus on automation and security platform initiatives, hands-on AI deployment, bug bounty expertise, and deep knowledge of modern risk frameworks.

Skills

AWS Kubernetes Python Go CI/CD Snyk Semgrep Wiz EndorLabs TruffleHog LangChain AutoGPT CVSS EPSS CISA KEV

What you'll do

Set the strategic vision for Risk-Based Vulnerability Management (RBVM).
Design and deploy AI agents to autonomously triage security findings.
Develop systems correlating vulnerabilities with runtime context and topology.
Automate triage processes and create self-healing CI/CD guardrails.
Build high-fidelity dashboards translating complex security signals into insights.

What we're looking for

5+ years of Security Engineering experience with a track record of leading high-impact automation initiatives.
Hands-on experience building or deploying agentic systems and LLM orchestration frameworks to solve complex security problems at scale.
Active participation in Bug Bounty programs, understanding attacker exploitation methods, and translating findings into systemic fixes.
Strong software engineering background with proficiency in Go or Python, focusing on scalable API-driven security tooling.
Deep knowledge of securing AWS and Kubernetes-based architectures, including vulnerability management and modern risk frameworks.

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