Description
As the Head of AI Security at Gong, you will be the ultimate authority and strategic leader responsible for securing the company's 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 proprietary AI technologies, multi-agent systems, and RAG architectures.
Responsibilities
- Develop and implement Gong's end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents
- Design secure-by-design frameworks and security architecture for AI-powered products and platforms
- Develop AI threat modeling, adversarial testing, red teaming, and vulnerability management programs
- Establish AI governance, internal security policies, and alignment with emerging global AI regulations and standards
- Implement security tooling, automation frameworks, and continuous monitoring capabilities for AI environments
- Provide cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams
Challenges
- Protect AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage
- Prevent sensitive customer and enterprise data from leaking into training sets or model outputs
- Secure complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale
- Embed security seamlessly into the ML lifecycle without slowing innovation
- Build scalable AI security operations through automation, monitoring, and continuous adversarial testing
- Navigate evolving AI governance, compliance, and regulatory requirements across global markets
Impact
- 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
Requirements
- 7+ years of experience in cybersecurity, with at least 2+ years explicitly dedicated to securing data science environments, ML pipelines, or AI-native applications
- 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
- Deep understanding of deep learning architectures, LLM mechanics, vector databases, and multi-agent orchestration frameworks
- Strong familiarity with MITRE ATLAS, OWASP GenAI Security Project