Drimva

Zscaler

Principal AI Security Specialist - East

$176K–$335K

Remote - Massachusetts, USA +7 · Remote · Principal · Full-time · Posted Jun 28, 2026

Location
Remote - Massachusetts, USA
Remote - New Jersey, USA
Remote - New York, USA
Remote - Pennsylvania, USA
Remote - Massachusetts, USA
Remote - New Jersey, USA
Remote - New York, USA
Remote - Pennsylvania, USA
Experience
10+ years; no alternative stated.

About the job

Leads customer-facing technical sales strategy for Zscaler’s AI security platform, advising enterprises on secure AI adoption and validating solutions through demos and proofs of value.

What you'll do

  • Drive complex AI security opportunities with enterprise account teams, from discovery through close, and deliver tailored demonstrations and proofs of value.
  • Advise customers on AI patterns and security risks, including sensitive-data exposure and unsanctioned AI use.
  • Partner with Product and Engineering on customer feedback and create reusable demos, technical assets, and sales enablement materials.

What they ask for

  • Strong foundational knowledge of LLMs, RAG, MCP orchestration patterns, and related security risks.
  • 10+ years in a customer-facing technical role such as Sales Engineering, Solutions Architecture, or Technical Advisory, with complex enterprise sales cycles.
  • Solid cybersecurity knowledge, including Zero Trust architecture, DLP, cloud-native security platforms, and API integrations.
  • Exceptional presentation and storytelling skills to translate AI architectures into business value and security outcomes.

Nice to have

  • Hands-on experience with LLM APIs, scripting, agentic automation, or lightweight AI applications.
  • Experience supporting production AI deployments and creating field enablement or competitive-positioning materials.

Pay

$268,000 - $335,000 USD total pay (target OTE); $175,875 — $251,250 USD base salary

Tools

LLMs, RAG, MCP (Model Context Protocol), Zero Trust, DLP

AI focus

Advise enterprises on securing GenAI adoption, including LLM, RAG, agent, and prompt-workflow risks; demonstrate AI security solutions and help prevent data exposure and unsanctioned AI usage.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)