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Appnovation

Develops and operates enterprise AI products

Senior Product Owner - Adobe Experience Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Business, Computer Science, Information Systems, or Marketing, or equivalent experience.
  • At least 7 years of experience in product management, product ownership, business analysis, or digital platform roles, including at least 3 years as a Product Owner for Adobe Experience Manager or a comparable digital asset management or content platform.
  • Strong functional knowledge of AEM Assets, including metadata schemas and taxonomy, tagging including Smart Tags, folder structures and permissions, workflows, templates and components, Content Fragments, Dynamic Media, renditions, and asset distribution such as Brand Portal or Content Hub.
  • Working knowledge of Adobe Express, including brand kits, locked and editable templates, and AEM Assets integration, and Adobe Workfront, including portfolios, programs, projects, request queues, custom forms, proofing, approvals, and integration with AEM.
  • Proven experience building and communicating product roadmaps in partnership with business stakeholders.
  • Hands-on experience working in Agile, including Scrum or SAFe, writing epics and user stories, and managing backlogs in Jira.
  • Ability to prioritize based on value and effort and make clear trade-off decisions.
  • Experience working with software vendors or product partners, ideally Adobe.
  • Must be based in the United States and able to work Eastern Time hours.
  • Excellent communication, stakeholder management, and collaboration skills.
  • Ability to translate between business language and technical detail and explain trade-offs to technical and non-technical audiences.
  • Understanding of marketing operations, budgets, return on investment, and business drivers.
  • Ability to manage multiple initiatives with competing priorities.
  • Analytical, problem-solving, and decision-making skills, and comfort working through ambiguity.
  • Ability to work, influence, and make an impact in a cross-functional environment with all organizational levels.
  • Prior experience in consulting.

Responsibilities

  • Drive the AEM platform strategy, set product vision, goals, and success measures such as KPIs and OKRs, and build multi-quarter roadmaps balancing new features, enhancements, technical debt, and Adobe releases and upgrades.
  • Track Adobe product developments, including AEM as a Cloud Service, AEM Assets, Adobe Express, Workfront, and generative AI such as Adobe Firefly, and identify capabilities that can create business value.
  • Evaluate whether to configure, customize, or buy, favoring out-of-the-box Adobe capabilities when suitable and cost-effective over the long term.
  • Act as the main link between business stakeholders, delivery teams, and Adobe; run discovery sessions and workshops with marketers, agencies, marketing operations, and medical, legal, and regulatory reviewers; and build consensus across competing brand, market, and functional priorities.
  • Communicate the roadmap, priorities, release plans, status, risks, and trade-offs to stakeholders, including senior leadership.
  • Own and groom the product backlog in Jira; prioritize epics and features by value against effort, risk, and dependencies; and write epics and user stories with business context and acceptance criteria.
  • Participate in PI and sprint planning, backlog refinement, sprint reviews, and demos, and accept completed work against agreed criteria.
  • Shape the end-to-end integration of AEM, Adobe Express, and Workfront in a pharmaceutical content supply chain, from intake and briefing through creation, MLR review, approval, distribution, modular content reuse, and asset expiry.
  • Partner with architects on integrations between AEM and connected systems, including Veeva Vault PromoMats, marketing automation, CRM, analytics, and agency tools.
  • Work with Adobe product, engineering, and Customer Success teams to raise product gaps, champion enhancement requests, and participate in early-adopter or beta programs.
  • Partner with delivery leads, architects, and developers to ensure solutions follow AEM best practices and meet client standards for quality, system validation, data privacy, security, and content governance.
  • Use personas, journey and process mapping, and prototyping to design user-centered solutions.
  • Track metrics such as content cycle time, asset reuse, platform adoption, user satisfaction, and cost per asset.
  • Partner with change-management and training teams to drive adoption.

Desired Qualifications

  • Experience in pharmaceuticals, life sciences, or another regulated industry, including familiarity with MLR review processes and tools such as Veeva Vault PromoMats.
  • Experience with AEM as a Cloud Service and Content Supply Chain or modular content initiatives.
  • Familiarity with generative AI content capabilities such as Adobe Firefly or Adobe GenStudio.
  • Adobe certifications such as AEM or Workfront certifications, and/or product ownership certifications such as CSPO or SAFe POPM.
  • Experience with Confluence, Miro, or similar collaboration tools.
  • An MBA or advanced degree.
  • Prior experience and connections in the life sciences industry.

About the Company

Appnovation

Develops and operates enterprise AI products

Appnovation designs, builds, and runs AI products for large enterprises using open-source models. Its main offering, AI product development, embeds forward-deployed engineers to create AI-native products and data assets like AI sales assistants or clinical tools. The Evolv e platform hosts and governs open models in the client’s cloud, routing workloads to the best model to avoid per-token fees and vendor lock-in while protecting IP and data. Beyond AI, it provides digital services in strategy, design, data, and engineering (including Drupal) for regulated industries like healthcare and insurance, aiming to help global brands deploy AI at scale.

Company size
201-500
Company stage
Late Stage VC
Total funding
$21.3M
Headquarters
Vancouver, Canada
Founded
2007

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