About this role
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.
We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.
Role
We are looking for a Sr Staff Applied AI Engineer to join our team. This is an On-site in Santa Clara, California or Remote (US role) role, reporting to the Sr. Manager, Applied AI Engineering in the IT/Data Strategy department. The Sr Staff Applied AI Engineer, GTM is a senior, hands-on AI builder embedded with our go-to-market organization who turns ambiguous, high-stakes ideas into secure, production-grade solutions that move revenue outcomes. Beyond engineering, you will act as a trusted transformation advisor to GTM leaders to run discovery, shape the GTM AI strategy and roadmap, and guide Build/Partner/Buy decisions where success is measured in business terms such as pipeline generated and seller productivity. In this role, you will also improve and expand the technical implementations, standards, and engineering playbooks the rest of the Applied AI team relies on, keeping our deliverables aligned with current best practices.
What you’ll do (Role Expectations)
• Assist GTM AI strategy from discovery through delivery by embedding with GTM leaders, RevOps, and product owners to map the revenue lifecycle, set the GTM AI roadmap, and advise on feasibility, cost, risk, and Build/Partner/Buy decisions
• Build and deploy secure, production-grade AI solutions for revenue teams, designing and shipping high-impact use cases using retrieval-augmented generation, structured-data querying, and agentic workflows
• Run each solution like a product tied to revenue, building monitoring and evaluation frameworks, implementing security controls for customer and commercial data, and establishing ROI against GTM KPIs
• Drive adoption and change across the field by partnering with Sales Enablement, GTM Operations, and frontline managers to roll out solutions, train users, and establish tight feedback loops based on how the field actually works
• Set the standards that multiply the team, improving and exp