VP of AI Security Research

Core responsibilities:

• Lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems
• Oversee advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and deliver executive-level threat intelligence and risk assessments to inform corporate AI strategy
• Define and implement AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalize automated red-team engines to continuously stress-test models at scale
• Partner with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems

This role creates positive change by safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises and tech platforms every day through AI security solutions that enable organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Required qualifications:

• 12+ years of relevant industry experience in cybersecurity, machine learning security, or related fields with a focus on enterprise-scale products and AI systems
• Extensive leadership experience managing and scaling security or R&D organizations, with a strong track record of building high-performance teams and driving complex projects to completion
• Deep expertise in cybersecurity and AI – proven understanding of AI threats, adversarial machine learning, LLM vulnerabilities, and AI safety frameworks
• Strategic mindset and execution skills, with the ability to set vision and direction for AI security initiatives and also dive into technical details when needed

No specific benefits, compensation, or perks mentioned in the job posting.