Greenhouse ·
full-timeSr. Staff Applied AI Engineer, GTM
Zscaler · Remote - USA; Santa Clara, California, USA
Zscaler is a cloud‑based security company that runs the Zero Trust Exchange platform, protecting users, devices and applications across a global network of data centers. The Sr. Staff Applied AI Engineer, GTM works within the IT/Data Strategy group and partners directly with go‑to‑market leaders, RevOps and product owners. The role involves translating high‑level revenue goals into secure, production‑grade AI solutions, using techniques such as retrieval‑augmented generation, structured‑data querying and agentic workflows. Daily tasks include designing, building and deploying AI tools that drive pipeline and seller productivity, establishing monitoring, evaluation and security controls, and measuring ROI against GTM KPIs. The engineer also creates reusable components, reference architectures and playbooks for the broader Applied AI team while mentoring junior engineers. Ideal candidates are senior AI builders with several years of experience delivering end‑to‑end AI products, comfortable navigating ambiguity, collaborating across functions, and aligning technical work with business outcomes. Experience in cloud security, revenue operations, and building secure, scalable systems is essential.
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 expanding reusable building blocks like retrieval pipelines, reference architectures, GTM data connectors, and engineering playbooks while mentoring other engineers Who You Are (Success Profile) You thrive in ambiguity, comfortably building the path as you walk it and seeing dynamic environments as the raw material to build something meaningful. You act like an owner, operating with high integrity and a strong bias for action while navigating seamlessly between high-level strategy and hands-on execution. You are a high-trust collaborator who is ambitious for the team, embracing ongoing candor, feedback, and mutual respect as the fastest ways to earn trust. You are driven by innovation, bringing a deep curiosity for solving complex technical challenges and a desire to build secure, scalable, and transformative systems. You are a pragmatic builder obsessed with creating, iterating, and shipping value to users quickly without sacrificing technical excellence. What We’re Looking for (Minimum Qualifications) 5+ years of professional software engineering experience, including 3+ years working directly on AI and/or ML projects Direct experience driving both AI strategy and execution for GTM functions (Sales, Marketing, Partner Enablement), including shipping solutions used by customer-facing teams with measurable impact on GTM metrics, and fluency in the revenue lifecycle Hands-on experience across most of the components that make up modern AI solutions, including retrieval methods, reusable skill development, agentic orchestration, connecting to tools and data through the Model Context Protocol (MCP), and agent-to-agent (A2A) frameworks A track record of working directly with GTM leaders on ambiguous problems, running discovery, converting unclear expectations into a concrete plan, and communicating trade-offs, risk, and architecture to both technical and non-technical audiences Experience securing AI systems and the data they access, including least-privilege access and defending against risks
| Role | Sr. Staff Applied AI Engineer, GTM |
|---|---|
| Company | Zscaler |
| Location | Remote - USA; Santa Clara, California, USA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-26 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Sr. Staff Applied AI Engineer, GTM at Zscaler: frequently asked questions
- What is the salary for this role?
- Zscaler has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Sr. Staff Applied AI Engineer, GTM position remote, hybrid or onsite?
- The listing marks this role as remote, with Remote - USA; Santa Clara, California, USA as the location.
- What is the application deadline?
- Zscaler has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Sr. Staff Applied AI Engineer, GTM role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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