Sr. Staff Applied AI Engineer, GTM

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 acros...

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 ...

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...

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

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.
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 such as prompt injection, data leakage, and unsafe or non-compliant outputs
Strong engineering skills with experience deploying and running AI at scale, proficiency in Python, comfort integrating across GTM systems of record, and experience releasing and monitoring AI systems on a major cloud platform
Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
GTM experience at a B2B enterprise SaaS or cybersecurity company with complex, multi-motion sales, with a prior role in RevOps, Sales Engineering, or GTM Strategy being a strong plus
Direct experience with graph-based knowledge systems and long-term agent memory, including account and relationship graphs, GraphRAG, or persistent context across an account’s history
Experience building automated evaluation frameworks, such as LLM-as-judge or regression testing for AI quality, ideally paired with A/B or holdout experiments that measure business lift in the field
#LI-DY1 #LI-SantaClara
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.