Principal AI Security Specialist - East

Overview

A field-facing Principal AI Security Specialist who bridges enterprise AI adoption and security, serving as a technical advisor and trusted authority to Fortune 500 executives and architects on securing GenAI deployments.

What you'll do

• Own and execute the technical sales strategy with enterprise account teams, driving complex, high-value AI security opportunities from discovery to close.
• Configure and present tailored, outcome-driven demonstrations of Zscaler's AI security platform to both practitioners and C-level executives.
• Take customers through successful demos and POVs to validate Zscaler's ability to securely enable enterprise AI.
• Act as the field authority on modern AI patterns (such as RAG, agents, and prompt workflows), advising clients on preventing sensitive data exposure and unsanctioned AI usage.
• Collaborate with Product and Engineering to inject real-world customer feedback into the product roadmap.
• Develop reusable demos, technical assets, competitive positioning, and enablement content to scale Zscaler's AI field motion, and share best practices and training with enterprise account teams.

What you'll need

• Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP (Model Context Protocol) orchestration patterns, and the inherent security risks associated with them.
• 10+ years of solutions engineering mastery: a proven track record in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Technical Advisory) navigating complex, enterprise-level sales cycles.
• Solid grasp of cybersecurity principles, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
• Exceptional presentation and storytelling skills, with the ability to translate complex AI architectures into business value and security outcomes.
• Ability to work cross-functionally with Sales, Solutions Engineering, Product, Engineering, Marketing, and other go-to-market teams in a hyper-growth, rapidly evolving market.

Nice to have

• Hands-on AI prototyping: interacting with LLM APIs, scripting, creating agentic automation routines, and building lightweight AI applications.
• Advanced AI risk expertise: direct experience helping enterprises deploy production AI technologies while navigating data leakage, model governance, compliance frameworks, and shadow AI usage.
• A history of creating high-impact field assets, technical workshops, and competitive positioning content that helps broader go-to-market teams win.

Details

• Remote, with locations in Massachusetts, New Jersey, New York, or Pennsylvania, USA.
• Full-time position.
• Target OTE range $268,000 - $335,000 depending on experience; base pay range $175,875 - $251,250 USD.
• Eligible for a grant of restricted stock units, subject to board approval.