Sr Product Manager, Digital Marketing

About This Role

This Senior Product Manager role is for a digital marketing professional who will drive the global digital growth ecosystem. The role focuses on building scalable systems and ensuring the digital marketing portfolio is data-driven, operationally seamless, and optimized for long-term ROI. You will own the digital product roadmap for the Digital Experience and Engineering team, managing a varied portfolio of high-impact initiatives and digital projects to drive continuous customer acquisition, web optimization, and pipeline growth.

Responsibilities

• Own the comprehensive digital product roadmap and backlog for the Digital Experience and Engineering team, ruthlessly prioritizing initiatives to align with global business goals
• Lead day-to-day agile execution, running scrum meetings, sprint planning, and cross-functional team interlocks to maintain high engineering velocity
• Author crisp business requirements and technical user stories, ensuring they are fully defined, groomed, and ready for production
• Create, implement, and optimize end-to-end product delivery processes, managing dependencies to ensure all marketing technology initiatives ship on time
• Design and optimize the end-to-end digital experience across core web properties and apps, ensuring a frictionless user journey that bridges customer engagement and digital intelligence
• Lead a varied roadmap of digital growth initiatives, driving strategy for specific projects, including transforming the on-demand platform content into evergreen assets while concurrently scaling other web, data, and conversion products
• Manage the digital marketing technology stack and its deep integration into the broader marketing automation and CRM ecosystem
• Build and own the lifecycle of lead capture to CRM, ensuring high-fidelity lead flow, data integrity, and immediate sales visibility
• Audit the existing digital marketing technology landscape and lead flows, identifying friction points and technical debt to drive systematic optimization

Requirements

• 10+ years of experience in Product Management, Marketing Operations, or Growth Engineering, preferably within a high-growth enterprise software environment
• Direct experience leading engineering teams through Scrum methodologies, backlog grooming, and Agile delivery
• Mastery of the MarTech Stack, including expert-level proficiency with enterprise Content Management Systems (CMS), marketing automation tools, and CRM systems (e.g., Salesforce)
• Comprehensive understanding of web data architecture, lead flow automation, and the complexities of global B2B demand generation
• Proven capability to lead large-scale technical transformations across a varied portfolio of products, with a strong bias toward iterative, data-backed processes
• Ability to build deep relationships and influence senior stakeholders across Go-To-Market (GTM) teams without direct authority

Nice to have:

• Expert-level knowledge of Agile methodologies applied to marketing technology and web engineering deployments
• Familiarity with Adobe Experience Manager (AEM) or similar enterprise CMS platforms to lead digital experiences, including web personalization and on-demand content strategies
• Experience identifying and implementing AI-driven marketing tools (e.g., personalization engines, predictive routing) to move experimental technology into standardized production
• A proactive mindset—the ability to identify data or process bottlenecks before they impact performance and present them alongside scalable solutions
• PMP, Certified Scrum Master (CSM), or equivalent Program/Product Management certification is a plus

Benefits

• Restricted stock units and a bonus
• Employee benefits may be found at benefits.paloaltonetworks.com

Important Details

• Immigration Sponsorship: No

About the Company

Palo Alto Networks protects the digital way of life. The company thrives at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. They weave AI into the fabric of everything they do to augment the impact every individual can have. Most teams work from the office full time, with flexibility when needed, to support real-time problem-solving, stronger relationships, and precision that drives great outcomes.