Principal AI Security Specialist

This is a fully remote position, open to applicants in Illinois, +2 more states.

📋 Description

• Collaborate with enterprise account teams to develop and implement a technical sales strategy for intricate, high-value AI security opportunities from initial discovery to final closing.

• Customize and deliver targeted, outcome-oriented demonstrations of Zscaler’s AI security platform to both technical practitioners and C-level executives.

• Lead customers through demonstrations and proofs of value to confirm secure enterprise AI capabilities.

• Act as the field authority on retrieval-augmented generation (RAG), agents, prompt workflows, and the prevention of sensitive data exposure and unapproved AI usage.

• Work alongside Product and Engineering teams to integrate customer feedback into the product development roadmap.

• Develop reusable demo assets, technical resources, enablement playbooks, competitive positioning materials, and training content.

• Share best practices and provide training for enterprise account teams.

• Counsel Fortune 500 executives and architects on the secure deployment of AI technologies.

⛳️ Requirements

• Strong foundational understanding of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP orchestration patterns, and associated security risks.

• Over 10 years of experience in customer-facing technical roles such as Sales Engineering, Solutions Architecture, or Technical Advisory.

• Demonstrated experience in managing complex, enterprise-level sales cycles.

• Robust knowledge of cybersecurity principles, Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.

• Outstanding presentation and storytelling abilities.

• Capability to translate intricate AI architectures into business value and security outcomes.

• Proficient in cross-functional collaboration with Sales, Solutions Engineering, Product, Engineering, Marketing, and go-to-market teams.

• Preferred: experience working with LLM APIs, scripting, creating agentic automation routines, and developing lightweight AI applications.

• Preferred: experience in deploying production AI technologies while managing data leakage, model governance, compliance frameworks, and shadow AI usage.

• Preferred: experience in creating field assets, conducting technical workshops, and developing competitive positioning content.

🏝️ Benefits

• Various health plans.

• Time off plans for vacation and sick days.

• Options for parental leave.

• Retirement plans.

• Education reimbursement.

• In-office perks.

• Comprehensive and inclusive benefits for employees and their families.

• Reasonable support/accommodations during the recruitment process.