Live opening · Posted 1 day ago

Senior Product Manager, Digital Marketing

Palo Alto Networks · Office - USA - CA - Headquarters
Workday
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyPalo Alto Networks
LocationOffice - USA - CA - Headquarters
SkillsDigital Marketing
SourceWorkday
Listed1 day ago

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About the role

Description supplied by the original job listing.

Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
Job Summary
As the Sr. Product Manager, Digital Marketing, you will be the engine room of our global digital growth ecosystem. You aren't just a marketing technologist; you are a builder of scalable systems and a driver of digital excellence. Sitting at the intersection of world-class user experience and technical execution, you will ensure our digital marketing portfolio is data-driven, operationally seamless, and optimized for long-term ROI.
In this role, you will own the digital product roadmap for the Digital Experience and Engineering team. You will manage a varied portfolio where high-impact initiatives—such as scaling our web-based on-demand platform—are prioritized alongside a broader ecosystem of digital projects designed to drive continuous customer acquisition, web optimization, and pipeline growth.
Central to this mandate is applying AI within our digital publishing environment, using structured, modular content architecture and AI decisioning to render hyper-personalized, dynamic experiences for each visitor. You will own that capability end to end—the content models and pipelines that enable personalization, the decisioning layer that selects what renders, and the measurement discipline that proves its effectiveness.
Key Responsibilities
Roadmap Ownership & Prioritization: Own the comprehensive digital product roadmap and backlog for the Digital Experience and Engineering team, ruthlessly prioritizing initiatives to align with global business goals.
Agile & Scrum Leadership: Lead day-to-day agile execution, running scrum meetings, sprint planning, and cross-functional team interlocks to maintain high engineering velocity.
Requirement Delivery: Author crisp business requirements and technical user stories, ensuring they are fully defined, groomed, and ready for production.
End-to-End Process Design: Create, implement, and optimize end-to-end product delivery processes, managing dependencies to ensure all marketing technology initiatives ship on time.
AI-Enabled Content Architecture: Define the structured, component-based content models, metadata, and taxonomy that allow a single content object to be rendered as many audience-specific permutations, and introduce AI into the authoring pipeline—automated tagging, enrichment, translation, and generative variant production under human-in-the-loop review.
Own the Personalization Decisioning Layer: Productize how the site decides what each visitor sees—first-party and account-level signals resolved through the CDP, audience segmentation, rules-based targeting, and ML-driven recommendation and next-best-content models—and set the latency, fallback, and coverage standards these experiences must meet in production.
Experimentation & AI Governance: Run the testing program (A/B, multivariate, and holdout cohorts) that isolates the revenue lift attributable to personalization, and own the governance model for AI-generated and AI-targeted content: model and output quality monitoring, brand and factual safety guardrails, and consent and regional privacy compliance.
Diversified Project Portfolio: Lead a varied roadmap of digital growth initiatives, driving strategy for specific projects.
Orchestrate the Tech Stack: Manage the digital marketing technology stack and its deep integration into the broader marketing automation and CRM ecosystem.
Lead Lifecycle & Automation: Build and own the lifecycle of lead capture to CRM, ensuring high-fidelity lead flow, data integrity, and immediate sales visibility.
Audit & Re-engineer Platforms: Audit the existing digital marketing technology landscape and lead flows, identifying friction points and technical debt to drive systematic optimization.
Qualifications
Required Qualifications
10+ years of experience in Product Management, Marketing Operations, or Growth Engineering, preferably within a high-growth enterprise software environment.
Demonstrated experience shipping AI-powered hyper-personalization into a live enterprise digital publishing environment—an enterprise CMS and DAM estate—where you owned the capability from content modeling through audience decisioning to measured business outcome.
Hands-on fluency with the technical building blocks of that work such as content APIs and headless or hybrid delivery, retrieval-grounded generation over a governed brand corpus, integration between a CDP or audience platform and an experience-decisioning engine, and the practical tradeoffs between deterministic targeting and algorithmic models. Deep enough to challenge engineering and data science partners on design, not merely relay their conclusions.
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.
Preferred Qualifications
Expert-level knowledge of Agile methodologies applied to marketing technology and web engineering deployments.
Familiarity with Adobe Experience Manager (AEM) or a comparable enterprise platform (Contentful, etc) across Sites and Assets, including composable and API-first delivery patterns and the migration path from templated pages to reusable content fragments.
Answer Engine Readiness: Experience structuring and marking up published content so it is retrievable, correctly attributed, and cited by LLM-based search and answer engines—and instrumenting that visibility as a reportable channel.
Scaled Content Operations: A track record of raising throughput in a global publishing org through AI-assisted workflows, with the localization, accessibility, and editorial review gates that keep quality from degrading as volume grows.
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.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$176,800.00 - $286,000.00/yr
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified i

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