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Product Manager - Data Protection

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Zscaler
Full Time position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    Cybersecurity, Information Security & Data Protection
  • Business
Salary/Wage Range or Industry Benchmark: 164000 - 205000 USD Yearly USD 164000.00 205000.00 YEAR
Job Description & How to Apply Below

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 Manager to join our team. This is a hybrid, based in San Jose, CA (3 days onsite) role, reporting to the Director, Product Management in the Product Management department. You drive the vision, strategy, and execution for Zscaler’s Data Security capabilities, helping expand a cloud security platform built for innovation, scale, and business enablement.

What you’ll do (Role Expectations)
  • Own the end-to-end product lifecycle for Data Security products, including Web DLP and Email DLP
  • Define, document, and prioritize product requirements using market research, competitive insights, and customer feedback
  • Partner with cross-functional teams (Engineering, UX, Support, Operations, Sales, Marketing) to take ideas from concept to successful delivery
  • Support product deployment and sales enablement across beta and production environments in collaboration with Support, Operations, and Sales teams
  • Drive and execute go-to-market plans with Marketing and Sales to ensure adoption and measurable product success
Who You Are (Success Profile)
  • You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
  • You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
  • You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
  • You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
  • You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
  • 5+ years of product management experience delivering Cyber Security solutions
  • Proven experience with Data Loss Prevention (DLP) and data classification products with understanding of legacy tools and modern AI-based…
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