Zscaler

3 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: 5 hours agoStatus: Live

Job Summary

Bridge cutting-edge AI innovation and enterprise security by owning and executing technical sales strategy for complex AI security opportunities. Deliver tailored demos and POVs for executives and deep-tech practitioners, and serve as the field authority on modern AI patterns such as LLMs, RAG, agents, and prompt workflows. Advise clients on preventing sensitive data exposure and unsanctioned AI usage while collaborating with Product and Engineering to scale field motion through reusable assets and enablement.

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Partner with enterprise account teams to own and execute the technical sales strategy for AI security opportunities from discovery to close.
•Configure and deliver high-impact, outcome-driven demos and POVs to validate secure enterprise AI enablement.
•Act as the field subject matter expert on AI patterns (RAG, agents, prompt workflows) and advise on preventing sensitive data exposure and unsanctioned AI usage.
•Collaborate with Product and Engineering to incorporate customer feedback into the product roadmap while building reusable demo assets and enablement playbooks.
•Develop reusable demos, technical assets, competitive positioning, and enablement content to scale global sales effectiveness and share best practices with 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 of mastery in a customer-facing technical role such as Sales Engineering, Solutions Architecture, or Technical Advisory across complex enterprise sales cycles.
•Solid cybersecurity foundations, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
•Exceptional presentation and storytelling skills to translate complex AI architectures into tangible business value and security outcomes.
•Successfully collaborate cross-functionally with go-to-market and product/engineering teams in a hyper-growth, rapidly evolving market.

Experience:10+ years

Skills:OwnershipCollaborationCustomer obsessionExecutive communicationInnovation

Languages:English

Tech Stack:Large Language Models (LLMs)Retrieval-augmented generation (RAG)MCP (Model Context Protocol)AgentsPrompt workflowsZero TrustData loss prevention (DLP)Cloud-native security platformsAPI integrations

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

3 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: 5 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Partner with enterprise account teams to own and execute the technical sales strategy for AI security opportunities from discovery to close.
•Configure and deliver high-impact, outcome-driven demos and POVs to validate secure enterprise AI enablement.
•Act as the field subject matter expert on AI patterns (RAG, agents, prompt workflows) and advise on preventing sensitive data exposure and unsanctioned AI usage.
•Collaborate with Product and Engineering to incorporate customer feedback into the product roadmap while building reusable demo assets and enablement playbooks.
•Develop reusable demos, technical assets, competitive positioning, and enablement content to scale global sales effectiveness and share best practices with 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 of mastery in a customer-facing technical role such as Sales Engineering, Solutions Architecture, or Technical Advisory across complex enterprise sales cycles.
•Solid cybersecurity foundations, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
•Exceptional presentation and storytelling skills to translate complex AI architectures into tangible business value and security outcomes.
•Successfully collaborate cross-functionally with go-to-market and product/engineering teams in a hyper-growth, rapidly evolving market.

Experience:10+ years

Skills:OwnershipCollaborationCustomer obsessionExecutive communicationInnovation

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