Principal Product Manager

Zscaler is a cloud security company that protects customers from cyberattacks and data loss through its Zero Trust Exchange platform. The Principal Product Manager will grow Data Security revenues across the AMS region, support customer-facing sales engagements, enable field teams, and translate customer feedback into product strategy and roadmap improvements focused on AI-powered data security.

Responsibilities:

• Drive the sales strategy and execution for the Data Security product suite specifically for our AMS customer base
• Assist with Data Security 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

Requirements:

• 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 & 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
• 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