As an Offensive Security Engineer on the Application Security team within Security, you'll pioneer how Coinbase uses frontier AI models to scale vulnerability discovery, red team AI systems, and automate security workflows. This role bridges traditional penetration testing with next-generation AI-augmented offensive security, directly accelerating our ability to protect products and customers. You'll own the development of AI-driven security tooling and collaborate across Vulnerability Management, Offensive Security, and Incident Response to fundamentally shift how we operate.

What you'll do:

• Build, deploy, and maintain custom security scanners that leverage frontier models to detect vulnerabilities at scale across Coinbase's product surface.
• Lead red teaming efforts against internal AI systems, including jailbreak testing, prompt injection analysis, and tool abuse simulation.
• Develop AI-driven automation for vulnerability triage, validation, and remediation workflows to accelerate the bug bounty and vulnerability response pipelines.
• Partner with engineering teams to prioritize, remediate, and verify fixes for critical vulnerabilities discovered through AI-augmented and manual testing.
• Mentor junior security engineers on integrating AI into offensive security workflows to scale team capabilities.

Required Skills and Experience:

• 3+ years of experience in application security, penetration testing, or offensive security with demonstrated ability to build custom security tooling.
• Hands-on experience using LLMs or frontier models to automate security tasks, scale vulnerability research, or build security scanners.
• Demonstrated experience red teaming AI-based systems (prompt injection, jailbreak testing, tool abuse).
• Deep understanding of common vulnerability classes (OWASP Top 10, SANS Top 25) and proven track record identifying and exploiting them in production environments.
• Proficiency in at least one programming language (Python, Go, or similar) with experience writing production-grade security tooling.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.