Head of AI Security - Gong.io

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 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 requirements across global markets Maintain Gong’s reputation as a leader in secure and trustworthy enterprise AI Build the foundation that allows AI innovation to scale safely and responsibly Strengthen customer trust by protecting highly sensitive conversational and business data Create resilient AI systems that can withstand real-world attacks and emerging threat vectors Drive a security-first AI engineering culture across the organization Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company Experience: 7+ years in cybersecurity, with at least 2+ years explicitly dedicated to securing data science environments, ML pipelines, or AI-native applications. Influence-Based Leadership: Exceptional communication skills with a proven track record of leading cross-functional initiatives and translating highly complex technical AI risks into actionable business strategies for executives. AI/ML Infrastructure: Deep understanding of deep learning architectures, LLM mechanics, vector databases, and multi-agent orchestration frameworks. Security Frameworks: Strong familiarity with MITRE ATLAS , OWASP GenAI Security Project Builder - You will take the security department to its next level in adopting security AI agents

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 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 requirements across global markets Maintain Gong’s reputation as a leader in secure and trustworthy enterprise AI Build the foundation that allows AI innovation to scale safely and responsibly Strengthen customer trust by protecting highly sensitive conversational and business data Create resilient AI systems that can withstand real-world attacks and emerging threat vectors Drive a security-first AI engineering culture across the organization Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company Experience: 7+ years in cybersecurity, with at least 2+ years explicitly dedicated to securing data science environments, ML pipelines, or AI-native applications. Influence-Based Leadership: Exceptional communication skills with a proven track record of leading cross-functional initiatives and translating highly complex technical AI risks into actionable business strategies for executives. AI/ML Infrastructure: Deep understanding of deep learning architectures, LLM mechanics, vector databases, and multi-agent orchestration frameworks. Security Frameworks: Strong familiarity with MITRE ATLAS , OWASP GenAI Security Project Builder - You will take the security department to its next level in adopting security AI agents

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 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 requirements across global markets Maintain Gong’s reputation as a leader in secure and trustworthy enterprise AI Build the foundation that allows AI innovation to scale safely and responsibly Strengthen customer trust by protecting highly sensitive conversational and business data Create resilient AI systems that can withstand real-world attacks and emerging threat vectors Drive a security-first AI engineering culture across the organization Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company Experience: 7+ years in cybersecurity, with at least 2+ years explicitly dedicated to securing data science environments, ML pipelines, or AI-native applications. Influence-Based Leadership: Exceptional communication skills with a proven track record of leading cross-functional initiatives and translating highly complex technical AI risks into actionable business strategies for executives. AI/ML Infrastructure: Deep understanding of deep learning architectures, LLM mechanics, vector databases, and multi-agent orchestration frameworks. Security Frameworks: Strong familiarity with MITRE ATLAS , OWASP GenAI Security Project Builder - You will take the security department to its next level in adopting security AI agents