Senior Staff AI Engineer, GTM & Revenue AI Solutions

Zscaler, Inc.; United States; Hybrid; USD 160,000 - 260,000; Full time

Job summary

Zscaler is seeking a Sr Staff Applied AI Engineer (GTM) to embed with GTM and RevOps, turning ambitious ideas into secure, production-grade AI solutions that drive revenue. You’ll shape the AI strategy and roadmap for the GTM function while partnering with product owners and field teams to deliver measurable impact.

You will design and ship high-impact AI use cases, implement robust security controls, and help scale AI across the revenue organization.

Qualifications

• 5+ years of professional software engineering experience, including 3+ years in AI/ML.
• Direct experience driving AI strategy and execution for GTM functions with measurable impact.
• Hands-on experience with retrieval methods, reusable skill development, agentic orchestration, and data connections via MCP.
• Experience working with GTM leaders on ambiguous problems, discovery, and concrete planning.
• Experience securing AI systems with least-privilege access and defenses against data leakage.

Responsibilities

• Embed with GTM leaders and RevOps to map revenue lifecycle, set the GTM AI roadmap, and advise on feasibility, cost, risk, and Build/Partner/Buy decisions.
• Build and deploy production-grade AI solutions for revenue teams, using retrieval-augmented generation and agentic workflows.
• Run solutions like products, with ROI tracking and GTM KPI measurement.
• Drive adoption by partnering with Sales Enablement and frontline managers; train users and establish feedback loops.
• Set standards and mentor engineers; expand reusable building blocks and GTM data connectors.

Skills

Python

AI/ML

GTM strategy

Security in AI systems

Cloud platforms

Tools

Model Context Protocol (MCP)

GraphRAG

A2A frameworks

Job description

Zscaler is seeking a Sr Staff Applied AI Engineer (GTM) to embed with GTM and RevOps, turning ambitious ideas into secure, production-grade AI solutions that drive revenue. You’ll shape the AI strategy and roadmap for the GTM function while partnering with product owners and field teams to deliver measurable impact.

You will design and ship high-impact AI use cases, implement robust security controls, and help scale AI across the revenue organization.