Zscaler

1 day 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: 3 hours agoStatus: Live

Job Summary

Partner with account teams and Solutions Engineering to drive AI security opportunities and advise customers on securely adopting AI across the enterprise. Lead discovery, architecture discussions, and tailored product demos covering data protection, policy enforcement, access governance, and risk mitigation. Support proofs of concept and technical evaluations for strategic deals, translate complex AI/security concepts for executives and practitioners, and feed field insights back to Product and Engineering.

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with account teams and core Solutions Engineering teams to drive technical strategy for AI Security-related opportunities.
•Engage customers in discovery across AI initiatives, GenAI use cases, enterprise architecture, security requirements, and adoption challenges.
•Configure and deliver tailored demos of AI security solutions aligned to customer priorities and outcomes.
•Support proofs of concept, proofs of value, and technical evaluations for strategic AI-related opportunities.
•Advise customers on securely enabling AI across the enterprise, including data protection, policy enforcement, user access, governance, and risk mitigation.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirement

Key Requirements

•5+ years in a customer-facing technical role such as Sales Engineering, Solutions Consulting, Solutions Architecture, Customer Engineering, or Technical Advisory.
•Deep understanding of modern AI/GenAI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), agents, MCP and orchestration patterns, and prompt workflows.
•Experience configuring, demonstrating, and presenting technical solutions in complex enterprise sales cycles.
•Strong ability to connect technical capabilities to business value, security outcomes, and customer priorities.
•Strong understanding of cybersecurity principles, with experience in one or more areas such as cloud security, data security, zero trust architecture, secure access, and governance/policy controls.

Experience:5+ years

Skills:PresentationDemoCommunicationCross-functional collaborationTranslating complex concepts

Languages:En

Tech Stack:Large language models (LLMs)Retrieval-augmented generation (RAG)AgentsMCPOrchestration patternsPrompt workflowsPythonAPIsCloud environmentsIntegration patterns

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

1 day 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: 3 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with account teams and core Solutions Engineering teams to drive technical strategy for AI Security-related opportunities.
•Engage customers in discovery across AI initiatives, GenAI use cases, enterprise architecture, security requirements, and adoption challenges.
•Configure and deliver tailored demos of AI security solutions aligned to customer priorities and outcomes.
•Support proofs of concept, proofs of value, and technical evaluations for strategic AI-related opportunities.
•Advise customers on securely enabling AI across the enterprise, including data protection, policy enforcement, user access, governance, and risk mitigation.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirement

Key Requirements

•5+ years in a customer-facing technical role such as Sales Engineering, Solutions Consulting, Solutions Architecture, Customer Engineering, or Technical Advisory.
•Deep understanding of modern AI/GenAI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), agents, MCP and orchestration patterns, and prompt workflows.
•Experience configuring, demonstrating, and presenting technical solutions in complex enterprise sales cycles.
•Strong ability to connect technical capabilities to business value, security outcomes, and customer priorities.
•Strong understanding of cybersecurity principles, with experience in one or more areas such as cloud security, data security, zero trust architecture, secure access, and governance/policy controls.

Experience:5+ years

Skills:PresentationDemoCommunicationCross-functional collaborationTranslating complex concepts

Languages:En

Tech Stack:Large language models (LLMs)Retrieval-augmented generation (RAG)AgentsMCPOrchestration patternsPrompt workflowsPythonAPIsCloud environmentsIntegration patterns

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