Principal Product Manager

Role

We are looking for a Principal Product Manager to join our team. This is a Remote role, reporting to the Sr. Director WW Field PM for AMS in the Data Security Product Organization department. As a key member of the Data Security Product Organization, your main focus of this position is to grow and sustain Zscaler core businesses revenues across the AMS region, with a special focus on AI-Powered Data Security product lines. You will work closely with Product Management and Sales leadership to manage field engagements and provide technical & commercial assistance to Sales Engineers and Account Executives throughout the customer lifecycle. Finally, you'll play a critical role in shaping the evolution of our platform by bringing real-world customer feedback from the field to help address emerging AI and data security challenges.

What you’ll do (Role Expectations)

• Drive the sales strategy and execution for the Data Security product suite specifically for our AMS customer base, assisting with opportunities to demonstrate technical superiority and business value
• Partner with Product Management leadership to translate field insights into product strategy & roadmap by leading competitive analysis, win/loss reviews, customer commitment tracking, pricing planning, and pipeline and churn analysis across the DLP, DSPM, and AI portfolio
• Enable and educate the broader Zscaler field team to effectively position and sell Data Security solutions within their accounts
• Work with support leadership to provide timely assistance to large customers in event of escalations and deployment of Zscaler services
• Provide clear, concise, and data-driven updates on deal status, pipeline health, business performance, and key risks to Sales and Product leadership, enabling informed decision-making

Who You Are (Success Profile)

• Operate with a strong ownership mindset, combining a passion for the mission with high integrity and the ability to navigate seamlessly between high-level strategy and hands-on execution.
• Demonstrate a proactive problem-solving focus, eagerly running toward challenges and remaining laser-focused on delivering high-impact outcomes.
• Build high-trust collaboration, prioritizing team success, welcoming constructive feedback, and practicing clear and respectful candor to establish strong partnerships.
• Maintain a continuous growth mindset, actively seeking feedback and development to grow as a partner, teammate, and purpose-driven leader.
• Thrive in ambiguity, comfortably building the path as you walk it and viewing dynamic environments as opportunities to construct meaningful solutions.

What We’re Looking for (Minimum Qualifications)

• Foundational understanding of AI/ML technologies and experience leveraging AI solutions to optimize outcomes within your functional domain
• Proven professional experience in a technical, customer-facing role such as a Sales Engineer, Solution Architect, or Product Manager
• Deep expertise in Data Security technologies like Cloud DLP, Inline DLP, CASB, Email/Endpoint DLP, DSPM, AISPM, SSPM, and securing AI agents
• Deep understanding of SWG, ZTNA, proxies, firewalls, VPN, Secure Browser, and authentication/identity protocols such as SAML and SCIM
• Subject matter expertise in infrastructure deployment within a major public cloud environment (AWS, Azure, or GCP), with the ability to thrive in a fast-paced setting using modern project management tools to track engagement and activity

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
• Deep technical understanding of Generative AI infrastructure and cloud security platforms, with proven experience designing, scaling, or securing AI-driven data detection, automated policy generation, and addressing architectural data security risks
• Comprehensive understanding of core Internet and network protocols (including TCP, UDP, HTTP/S, DNS, SSL/TLS) and modern network traffic architectures
• Exceptional communication skills combined with strategic insight into how enterprise customers leverage digital transformation, automation, and evolving data integration patterns to drive measurable business outcomes