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: 4 hours agoStatus: Live

Job Summary

Serve as a field-facing technical authority bridging AI innovation and enterprise security. Partner with enterprise account teams to execute technical sales strategy, drive complex AI security opportunities from discovery to close, and deliver tailored demos and POVs for C-level audiences. Act as a subject matter expert on modern AI patterns (RAG, agents, prompt workflows) and advise on preventing sensitive data exposure and unsanctioned AI usage, while scaling field enablement assets through cross-functional collaboration.

Location: Bengaluru, Gurugram, Mumbai

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 tailored, outcome-driven demos and POVs of the AI security platform for deep-tech practitioners and C-level executives.
•Act as a field authority on AI patterns (RAG, agents, prompt workflows) to advise clients on preventing sensitive data exposure and unsanctioned AI usage.
•Collaborate with Product and Engineering to incorporate customer feedback into the product roadmap and create reusable demo assets and enablement playbooks.
•Develop reusable demos, technical assets, competitive positioning, and enablement content to scale the AI field motion and train enterprise account teams.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeaveRetirementLearning Budget

Key Requirements

•Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP orchestration patterns, and associated security risks.
•10+ years of customer-facing technical experience (Sales Engineering, Solutions Architecture, or Technical Advisory) navigating complex enterprise sales cycles.
•Solid understanding of enterprise security, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
•Exceptional presentation and storytelling skills, translating complex AI architectures into business value and security outcomes.
•Successfully collaborate cross-functionally with Sales, Solutions Engineering, Product, Engineering, Marketing, and other go-to-market teams.

Experience:10+ yearsEnterprise securityGenerative AI

Skills:Executive communicationCollaborationOwnershipCustomer obsessionBias for action

Languages:English

Tech Stack:LLMsRetrieval-augmented generation (RAG)MCP (Model Context Protocol)LLM APIsRAG architecturesPrompt workflowsAgentic automationAPI 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

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: 4 hours agoStatus: Live

Job Summary

Location: Bengaluru, Gurugram, Mumbai

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 tailored, outcome-driven demos and POVs of the AI security platform for deep-tech practitioners and C-level executives.
•Act as a field authority on AI patterns (RAG, agents, prompt workflows) to advise clients on preventing sensitive data exposure and unsanctioned AI usage.
•Collaborate with Product and Engineering to incorporate customer feedback into the product roadmap and create reusable demo assets and enablement playbooks.
•Develop reusable demos, technical assets, competitive positioning, and enablement content to scale the AI field motion and train enterprise account teams.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeaveRetirementLearning Budget

Key Requirements

•Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP orchestration patterns, and associated security risks.
•10+ years of customer-facing technical experience (Sales Engineering, Solutions Architecture, or Technical Advisory) navigating complex enterprise sales cycles.
•Solid understanding of enterprise security, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
•Exceptional presentation and storytelling skills, translating complex AI architectures into business value and security outcomes.
•Successfully collaborate cross-functionally with Sales, Solutions Engineering, Product, Engineering, Marketing, and other go-to-market teams.

Experience:10+ yearsEnterprise securityGenerative AI

Skills:Executive communicationCollaborationOwnershipCustomer obsessionBias for action

Languages:English

Tech Stack:LLMsRetrieval-augmented generation (RAG)MCP (Model Context Protocol)LLM APIsRAG architecturesPrompt workflowsAgentic automationAPI integrations

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