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Principal AI Security Specialist
ZscalerPrincipal AI Security Specialist bridging AI innovation and enterprise security at Zscaler. Collaborating with Fortune 500 executives to ensure data protection while leveraging AI technologies.
Posted 6/28/2026full-timeRemote • Virginia • 🇺🇸 United StatesLead💰 $175,875 - $251,250 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep fluency in AI and GenAI, with expertise in Large Language Models and security risks, while effectively communicating complex AI architectures to drive business value. Proven ability to collaborate cross-functionally and scale technical sales strategies in enterprise security.
Highest-signal resume keywords
Deep Fluency In AI/GenAISolutions Engineering MasteryEnterprise Security FoundationsElite Executive CommunicationCross-Functional Collaboration
ATS Keywords
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Hard Skills
Large Language ModelsRetrieval-Augmented GenerationModel Context ProtocolZero Trust ArchitectureData Loss PreventionCloud-Native Security PlatformsAPI Integrations
Soft Skills
Exceptional Presentation SkillsStorytelling Skills
Tools & Technologies
Zscaler AI Security Platform
Industry Keywords
Cybersecurity PrinciplesTechnical Sales StrategyEnterprise-Level Sales Cycles
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- Architect the AI Technical Strategy: Partner with enterprise account teams to own and execute the technical sales strategy, driving complex, high-value AI security opportunities from discovery to close.
- Deliver Compelling, High-Impact Demos & POVs: Configure and present tailored, outcome-driven demonstrations of Zscaler’s AI security platform that resonate with both deep-tech practitioners and C-level executives. When needed, take customers through successful demos and POVs to validate Zscaler’s ability to securely enable enterprise AI.
- Serve as a Subject Matter Expert: Act as the field authority on modern AI patterns (such as RAG, agents, and prompt workflows), advising clients on how to prevent sensitive data exposure and unsanctioned AI usage.
- Scale the Field Motion: Collaborate with Product and Engineering to inject real-world customer feedback into the product roadmap, while building reusable demo assets and enablement playbooks to upscale our global sales force.
- Enable Those Around You: Develop reusable demos, technical assets, competitive positioning, and enablement content to help scale Zscaler’s AI field motion while sharing best practices and training with enterprise account teams
Requirements
What you’ll need- Deep Fluency in AI/GenAI: 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.
- Enterprise Security Foundations: Solid grasp of cybersecurity principles, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
- Elite Executive Communication: Exceptional presentation and storytelling skills, with a demonstrated ability to seamlessly translate complex AI architectures into tangible business value and security outcomes.
- Collaborate and Co-elevate: Successfully work cross-functionally with Sales, Solutions Engineering, Product, Engineering, Marketing, and other go-to-market teams in a hyper-growth, rapidly evolving market.
Benefits
Comp & perks- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!