Senior Product Manager, Digital Marketing

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.

Requirements

• 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

• 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.