Staff Product Designer

Zscaler•San Jose, CA

1d•$137,200 - $196,000•Hybrid

About The Position

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. 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.

Requirements

Demonstrated AI-native mindset with active, daily use of AI tools (e.g., Claude, Cursor, or equivalent) to enhance design, build, documentation, and iteration workflows
8+ years of UX and/or Product Design experience, including at least 5 years designing for enterprise or B2B products
Strong product design portfolio showing shipped, world-class UX for complex enterprise products using tools like Figma or Sketch (portfolio link required)
Exceptional visual and interaction design skills with proven experience building, contributing to, and scaling global design systems
Deep understanding of front-end constraints (HTML, CSS, JS frameworks) with fluency in reading code and working closely with engineering implementation
Excellent communication skills, demonstrating clarity, directness, and strong cross-functional collaboration across multi-disciplinary teams

Nice To Haves

Experience designing analytical or data-dense interfaces such as dashboards, workflows, monitoring, or configuration-heavy surfaces
Familiarity with IT, Cloud Security, or adjacent technical domains
Demonstrated AI-powered build capabilities, including using AI tools to generate code, prototype interactions, or automate design-to-code workflows

Responsibilities

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 team mentorship.