Responsibilities
- Partner with account teams and Solutions Engineering teams to drive technical strategy for AI security opportunities.
- Lead customer discovery around AI initiatives, GenAI use cases, enterprise architecture, security requirements, and adoption challenges.
- Configure and deliver customer-tailored demonstrations of Zscaler’s AI security solutions.
- Support proofs of concept, proofs of value, and technical evaluations for strategic AI opportunities.
- Advise customers on data protection, policy enforcement, user access, governance, and risk mitigation for enterprise AI adoption.
- Translate complex AI and security concepts into actionable value for technical, security, and executive stakeholders.
- Serve as a subject matter expert on LLMs, RAG, agents, prompt workflows, and emerging enterprise AI architectures.
- Collaborate with Product and Engineering to provide field feedback and influence roadmap and positioning.
- Create reusable demos, technical assets, competitive positioning, enablement content, workshops, reference architectures, and playbooks.
- Enable internal teams on AI trends, AI security use cases, market messaging, and customer objections.
- Represent Zscaler in executive briefings, customer workshops, webinars, and AI security industry events.
Requirements
- At least 5 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Consulting, Solutions Architecture, Customer Engineering, or Technical Advisory.
- Deep understanding of LLMs, RAG, agents, MCP, orchestration patterns, prompt workflows, model usage, safety, and governance.
- Experience configuring, demonstrating, and presenting technical solutions during complex enterprise sales cycles.
- Ability to connect technical capabilities to business value, security outcomes, and customer priorities.
- Strong presentation, demonstration, and communication skills for engaging architects, practitioners, security leaders, and executives.
- Familiarity with enterprise architecture, cloud environments, APIs, application workflows, and integration patterns.
- Strong cybersecurity knowledge, including areas such as cloud security, data security, zero trust architecture, secure access, governance, and policy controls.
- Ability to collaborate cross-functionally with Sales, Solutions Engineering, Product, Engineering, Marketing, and go-to-market teams.
- Preferred experience in AI security, secure AI adoption, model governance, AI-related risk management, production AI deployments, public-cloud infrastructure, Python, APIs, scripting, solution prototyping, reusable field assets, security platforms, cloud-native architecture, and SaaS security models.
Benefits
- Various health plans
- Vacation and sick time off plans
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
- Hybrid working model
Tech Stack
Categories
About Zscaler
Zscaler (NASDAQ: ZS) is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across 160+ data centers globally, the Zscaler Zero Trust Exchange™ platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity. Stay Connected: LinkedIn: https://www.linkedin.com/company/zscaler Twitter: https://www.twitter.com/zscaler Facebook: https://www.facebook.com/Zscaler/ Instagram: https://www.instagram.com/zscalerinc/