Product Manager – Digital Measurement

Role Overview

• Maintain and refine a product backlog for a defined digital measurement product area, including user stories, acceptance criteria, prioritization rationale and clear outcomes for tagging, taxonomy, Claravine, Fullstory and measurement operations
• Support and improve Claravine workflows, including taxonomy structures, naming conventions, metadata templates, validation rules, approval flows and adoption reporting
• Partner with analytics and engineering teams to connect Claravine standards to Adobe Analytics and Customer Journey Analytics use cases, including tracking-code quality, campaign metadata, classification enrichment and reusable reporting dimensions
• Help evolve Fullstory from a diagnostic tool into a repeatable source of behavioral insight for product discovery, friction analysis, conversion troubleshooting and experience optimization
• Translate business and product questions into Fullstory use cases, including segments, funnels, journey analysis, session replay workflows, custom events, user properties and insight-to-action playbooks
• Partner with engineering, analytics and privacy teams to maintain responsible digital data capture practices, including data-layer mapping, tagging consistency, masking, consent and access considerations
• Translate business questions and marketing or product measurement needs into clear requirements that support reliable analytics, decision-making and product backlog prioritization
• Improve tagging governance, taxonomy documentation, lineage, QA routines and playbooks so teams can trust and reuse measurement data with less manual support
• Triage and resolve data issues by coordinating root cause analysis, clarifying business logic and communicating status, trade-offs and recommendations to technical and non-technical partners
• Enable self-service by creating clear documentation, standards, training materials and stakeholder communications that reduce repeated manual support and increase adoption of measurement capabilities
• Work iteratively in agile ways, delivering incremental improvements and using feedback loops to improve quality, usability, stakeholder adoption and operational efficiency
• You will encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction
• You will foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles.

Requirements

• Four-year degree or equivalent experience
• 4+ years product management experience in digital analytics, digital tagging, marketing technology, data governance, analytics product management, product analytics, measurement operations or a closely related area
• Working knowledge of digital analytics, behavioral analytics, event instrumentation, data layers, taxonomy, metadata or tagging QA concepts
• Ability to translate business questions into measurement requirements, event definitions, metadata needs, taxonomy updates, QA criteria and product backlog items
• Ability to independently manage recurring work, prioritize across stakeholders and communicate risks, trade-offs and next steps while knowing when to escalate for guidance
• Comfort investigating data-quality issues, partnering with technical teams, documenting root cause and communicating trade-offs to business stakeholders
• Familiarity with agile ways of working and product discovery; comfortable maintaining a backlog, writing acceptance criteria and delivering incremental improvements
• Basic technical fluency with SQL, data tables, browser debugging, tagging QA tools, APIs, Python or comparable analysis and debugging methods
• Strong written and verbal communication skills, including the ability to explain technical measurement, taxonomy and behavioral analytics concepts to non-technical partners
• Curiosity, ownership and a continuous-improvement mindset; interest in building scalable standards, reusable measurement patterns and self-service practices rather than only completing tickets
• Experience with Claravine, Fullstory, Adobe Analytics, Customer Journey Analytics, tag management systems or similar platforms
• Experience with taxonomy management, campaign metadata, digital experience analytics, session replay, funnels, experimentation, personalization, ecommerce analytics or app/web analytics
• Experience creating playbooks, dashboards, QA checklists, training materials, adoption reporting or automation that reduce manual effort and improve consistency
• Exposure to privacy, consent, masking, access controls, data lineage, semantic definitions, data cataloging or AI-ready metadata practices
• Interest in helping a team evolve towards governed, reusable and self-service digital measurement capabilities.

Tech Stack

• Python
• SQL

Benefits

• comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
• 401(k)
• employee discount
• short term disability
• long term disability
• paid sick leave
• paid national holidays
• paid vacation