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 160+ public exchanges globally and thousands of private exchanges 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 Staff Product Designer to join our team. This is a Hybrid (3 days - San Jose HQ) role, reporting to the Senior Manager, Product Design in the Product Management department. The AI-Native Staff Product Designer is a hybrid of world-class design craft, systems thinking, and the ability to build what they design with the help of AI. This role designs and delivers end-to-end product experiences across Zscaler’s portfolio, using tools like Figma alongside AI-powered design and prototyping tools - from discovery through execution. Working closely with Product, Engineering, Data, and AI teams, they create intuitive, cohesive experiences that drive adoption and retention while continuously evolving our UX practice as AI capabilities mature.
What you’ll do (Role Expectations)
• Lead end-to-end product design for complex enterprise cybersecurity workflows across multiple Zscaler products, from discovery and concepting through prototyping, validation, implementation, and iteration.
• Use AI-powered tools alongside Figma and other design platforms to accelerate ideation, prototyping, content creation, design exploration, and overall delivery speed.
• Design intuitive experiences for data-dense, highly technical, and configuration-heavy environments, balancing usability, clarity, scalability, and power.
• Translate concepts into working prototypes and implementation-ready solutions, including using AI to generate, refine, and commit front-end code in close partnership with engineering.
• Partner cross-functionally with Product, Engineering, Content Design, Research, Data Science, and AI teams to define problems, align requirements, and deliver cohesive user experiences.
• Evolve design systems, UX standards, and AI-native design practices while maintaining a high bar for quality across interaction design, visual design, accessibility, research-informed decisions, and tea