Zscaler

2 weeks ago

Principal AI Security Specialist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Serve as a premier technical authority bridging GenAI innovation and enterprise security. Partner with enterprise account teams to execute complex AI security sales strategy, lead high-impact demos and POVs, and advise customers on protecting sensitive data and preventing unsanctioned AI usage. Act as an SME on modern AI patterns like RAG, agents, and prompt workflows, while collaborating cross-functionally to feed real customer feedback into product direction and scalable enablement assets.

Location: Melbourne, Sydney

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with enterprise account teams to own and execute the technical sales strategy for complex, high-value AI security opportunities from discovery to close.
•Configure and deliver tailored, outcome-driven demos and POVs of the AI security platform for deep-tech practitioners and C-level executives.
•Act as subject matter expert on modern AI patterns (RAG, agents, prompt workflows) to advise how to prevent sensitive data exposure and unsanctioned AI usage.
•Collaborate with Product and Engineering to incorporate real-world customer feedback into the product roadmap while creating reusable demo assets and enablement playbooks.
•Develop reusable demos, technical assets, competitive positioning materials, and enablement content to scale the AI field motion and train enterprise account teams.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeavePensionLearning Budget

Key Requirements

•Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP (Model Context Protocol) orchestration patterns, and their security risks.
•10+ years in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Technical Advisory) navigating complex enterprise sales cycles.
•Solid cybersecurity fundamentals, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
•Exceptional presentation and storytelling skills that translate complex AI architectures into business value and security outcomes.
•Experience collaborating cross-functionally with go-to-market teams (Sales, Solutions Engineering, Product, Engineering, Marketing) in a fast-evolving market.

Experience:10+ years

Skills:Owner mindsetHigh-trust collaborationCustomer obsessionExecutive communicationInnovation drive

Languages:English

Tech Stack:LLMsRetrieval-augmented generation (RAG)MCP (Model Context Protocol)LLM APIsZero TrustData loss prevention (DLP)API integrationsAgentic automationPrompt workflowsCloud-native security platforms

Company Brief

Zscaler

Provides cloud-native security platform delivering secure access, threat protection, and zero trust services to organizations, enabling secure internet and private application access without traditional network appliances.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2007

Website LinkedIn

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Zscaler

2 weeks ago

Principal AI Security Specialist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Melbourne, Sydney

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with enterprise account teams to own and execute the technical sales strategy for complex, high-value AI security opportunities from discovery to close.
•Configure and deliver tailored, outcome-driven demos and POVs of the AI security platform for deep-tech practitioners and C-level executives.
•Act as subject matter expert on modern AI patterns (RAG, agents, prompt workflows) to advise how to prevent sensitive data exposure and unsanctioned AI usage.
•Collaborate with Product and Engineering to incorporate real-world customer feedback into the product roadmap while creating reusable demo assets and enablement playbooks.
•Develop reusable demos, technical assets, competitive positioning materials, and enablement content to scale the AI field motion and train enterprise account teams.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeavePensionLearning Budget

Key Requirements

•Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP (Model Context Protocol) orchestration patterns, and their security risks.
•10+ years in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Technical Advisory) navigating complex enterprise sales cycles.
•Solid cybersecurity fundamentals, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
•Exceptional presentation and storytelling skills that translate complex AI architectures into business value and security outcomes.
•Experience collaborating cross-functionally with go-to-market teams (Sales, Solutions Engineering, Product, Engineering, Marketing) in a fast-evolving market.

Experience:10+ years

Skills:Owner mindsetHigh-trust collaborationCustomer obsessionExecutive communicationInnovation drive

Languages:English

Company Brief

Zscaler

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 2007

Website LinkedIn