Head of AI Security

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.

• 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

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call it “Own. Solve. Impact.” 

Our security team is at the forefront of a monumental shift in implementing processes. Instead of simply saying "no," we embrace the mindset of "let's explore how we can make it work." Our security team brings a wealth of backgrounds, experience, and wisdom to the table. Which means that age comes before security, or is it the other way around?

If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you!

We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits. If these considerations are important to you when choosing a workplace, we'd love to see you with us. To review Gong's privacy policy, visit  www.gong.io/privacy-policy/  for more details.

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