About the role
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As the Head of AI Security , you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures. You’ll Own: Gong’s end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents Secure-by-design frameworks and security architecture for AI-powered products and platforms AI threat modeling, adversarial testing, red teaming, and vulnerability management programs AI governance, internal security policies, and alignment with emerging global AI regulations and standards Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams You’ll Solve: Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage Preventing sensitive customer and enterprise data from leaking into training sets or model outputs Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale Embedding security seamlessly into the ML lifecycle without slowing innovation Building scalable AI security operations through automation, monitoring, and continuous adversarial testing Navigating evolving AI governance, compliance, and regulatory
