Zscaler - Sr. Staff Applied AI Engineer, GTM

• 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. • $180,000—$225,000 USD • At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. • Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: • Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • In-office perks, and more! • Learn more about Zscaler's hybrid working model and benefits here. • By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.