Manager – AI & Data Platform Engineering

The posting, as Zscaler wrote it

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 technically strong, hands-on Manager – AI & Data Platform Engineering within the Enterprise Data & AI Platform Engineering department, based on a Hybrid (3 days in office) basis in Santa Clara, CA, and reporting directly to the Senior Manager – Data Strategy, to lead the evolution of our enterprise data platform into an AI-ready data and knowledge platform. Sitting at the intersection of Data Engineering, AI Platform Engineering, Knowledge Engineering, and Generative AI, you will combine a deep foundation in modern data engineering and cloud platforms with practical experience building RAG systems, knowledge graphs, AI/LLM data pipelines, and production-grade AI infrastructure. This is a hands-on technical leadership role spanning architecture, engineering execution, people leadership, and platform strategy.

What You’ll Do (Role Expectations)

• Lead a team of data and AI engineers across the US and India, owning performance, career development and day-to-day execution across both full-time staff and contractors
• Own the Data Platform (Snowflake, dbt, Matillion) and the in-house pipelines that build the enterprise's knowledge and AI foundations, turning structured and unstructured data into trusted, AI-ready assets such as knowledge graphs and vector stores, accountable for quality, reliability and delivery
• Turn platform strategy and architecture direction into roadmaps, quarterly plans and delivered outcomes, partnering with architects and engineering leadership and shifting focus across data, knowledge and AI work as priorities change
• Run the platform as a product for internal customers such as domain delivery teams, BI, context and semantic teams and AI engineering, defining service levels, onboarding paths and paved roads that make self-service and AI-native development fast and safe
• Build agentic operations that automate the team's operational work, such

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eam 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.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.