Adobe
Senior Product Manager, Information Architecture
Adobe, San Jose, California, United States, 95199
Senior Product Manager
Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Responsibilities
Own the end-to-end strategy and execution for information architecture, ensuring structured content, discoverability, and AI-powered personalization across the customer training platform. Lead large-scale, iterative development by turning complex business needs into scalable, data-driven solutions in partnership with engineering, design, and content teams. Shape the platform roadmap and guide taxonomy, tagging, and metadata by applying deep IA expertise and collaborating across authoring, product, and engineering teams. Data Quality and Governance
Subject matter expert in taxonomy, ontology, and knowledge graphs to structure content for personalization, search, analytics, and AI/LLM-readiness. Implement governance models and metadata standards that drive consistency, quality, and reuse across large content ecosystems. Design scalable site structures and label systems that improve information retrieval and user experience. Maintain and evolve centralized metadata systems that support automation, platform consistency, and AI-readiness. Qualifications
5+ years proven expertise leading large-scale platform and content architecture initiatives from roadmap definition through iterative development and launch. Deep knowledge of information architecture, including knowledge graph design to support discoverability, personalization, AI/LLM readiness and Generative Engine Optimization (GEO) required. Proven experience designing metadata frameworks that share goals and ensure data quality. Solid understanding of content tagging strategies, including AI-assisted tagging aligned to product features, personas, and journey stages. Excellent communicator and project manager with a strong ability to distill complex technical concepts into value-based language.
Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Responsibilities
Own the end-to-end strategy and execution for information architecture, ensuring structured content, discoverability, and AI-powered personalization across the customer training platform. Lead large-scale, iterative development by turning complex business needs into scalable, data-driven solutions in partnership with engineering, design, and content teams. Shape the platform roadmap and guide taxonomy, tagging, and metadata by applying deep IA expertise and collaborating across authoring, product, and engineering teams. Data Quality and Governance
Subject matter expert in taxonomy, ontology, and knowledge graphs to structure content for personalization, search, analytics, and AI/LLM-readiness. Implement governance models and metadata standards that drive consistency, quality, and reuse across large content ecosystems. Design scalable site structures and label systems that improve information retrieval and user experience. Maintain and evolve centralized metadata systems that support automation, platform consistency, and AI-readiness. Qualifications
5+ years proven expertise leading large-scale platform and content architecture initiatives from roadmap definition through iterative development and launch. Deep knowledge of information architecture, including knowledge graph design to support discoverability, personalization, AI/LLM readiness and Generative Engine Optimization (GEO) required. Proven experience designing metadata frameworks that share goals and ensure data quality. Solid understanding of content tagging strategies, including AI-assisted tagging aligned to product features, personas, and journey stages. Excellent communicator and project manager with a strong ability to distill complex technical concepts into value-based language.