CloudCyber SecurityCGoAIGenAILarge Language ModelsRAGCommunicationSalesZero Trust
About this role
Role Overview
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
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.