Principal AI Security Specialist, UK&I

Contract type
Ongoing
Work mode
Hybrid
Experience
Lead / principal · 10+ years

Job description

A field-facing Principal AI Security Specialist role at Zscaler, combining consultative solutions engineering with deep AI/GenAI security expertise to help enterprise customers securely adopt AI. The role partners with Fortune 500 executives and architects as a trusted technical advisor.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Hybrid

What you'll do

  • Partner with enterprise account teams to own and execute the technical sales strategy, driving complex, high-value AI security opportunities from discovery to close
  • Configure and present tailored, outcome-driven demonstrations of Zscaler's AI security platform that resonate with both deep-tech 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 how to prevent sensitive data exposure and unsanctioned AI usage
  • Collaborate with Product and Engineering to inject real-world customer feedback into the product roadmap
  • Build reusable demo assets and enablement playbooks to upscale the global sales force
  • Develop reusable demos, technical assets, competitive positioning, and enablement content to help scale Zscaler's AI field motion
  • Share best practices and train enterprise account teams

What we're looking for

  • 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 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 a demonstrated ability to translate complex AI architectures into tangible business value and security outcomes
  • Successfully 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

  • Demonstrate strong AI fluency by leveraging coding assistants, LLMs, and Generative AI tools to accelerate troubleshooting, solution design, automation, and customer problem-solving, while applying sound technical judgment to validate outputs
  • Hands-on AI prototyping: interacting with LLM APIs, scripting, creating agentic automation routines, and building lightweight AI applications
  • 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

Benefits

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!

Apply

About Zscaler

Accelerates digital transformation so customers can be more agile, efficient, resilient, and secure

Zscaler (NASDAQ: ZS) protects thousands of customers from cyberattacks and data loss through the Zscaler Zero Trust Exchange platform, which securely connects users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform.

Mission

To make doing business seamless and secure

Key facts

  • Cloud security
  • NASDAQ: ZS
  • Zero Trust Exchange platform distributed across 200+ public data centers globally and thousands of private sites at the edge
  • SASE-based Zero Trust Exchange described as the world's largest in-line cloud security platform
  • Building an AI-native enterprise around Human + AI

What they value

  • Ownership and collaboration
  • Trust through outcomes and impact
  • Challenge culture with ongoing feedback
  • Customer obsession
  • Integrity
  • Innovation