Staff Content Architect

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.   This role is based in either New York, Sunnyvale, San Francisco, Mountain View, or Chicago  The Knowledge Management Solutions (KMS) team at LinkedIn is responsible for creating and delivering self-service content for LinkedIn’s members, customers, and employees. The team creates instructional, procedural, and technical content using both traditional and AI-powered methods. This content is made available externally through LinkedIn's help centers, virtual chat assistants, and in-product experiences (including those powered by AI/GAI), and internally through enterprise search systems and CRMs.   We are seeking a Staff Content Architect to own the design, governance, and evolution of our structured content and data model ecosystem. This role is foundational to ensuring the long-term scalability, integrity, and ROI of LinkedIn’s content systems as we transition to AEM Guides and expand AI-driven self-service experiences.   This is a highly strategic role responsible for defining the “what and why” of our content architecture—ensuring that content structures, metadata, and reuse patterns scale effectively across products, platforms, and AI use cases. This role works in close partnership with Content Strategy leaders, Taxonomy, and Knowledge Engineering to translate user needs and business requirements into scalable, well-governed content architecture. The role focuses on content architecture while partnering closely with platform engineering teams responsible for implementation and system configuration.  Key Responsibilities  Serve as the single accountable owner for the KMS DITA content model, driving design, governance, and ongoing evolution to ensure scalability, reuse, and long-term system integrity  Define and enforce structural standards, metadata models, taxonomy alignment, and reuse strategies; partner closely with the Taxonomist to ensure consistent and scalable classification and controlled vocabularies  Partner with Content Strategy leads and teams to align content architecture with user needs, editorial intent, and business goals—translating content strategy into scalable structural design  Translate content and data model into operational implementations (templates, authoring patterns, validation rules, workflows), ensuring consistent adoption across authors, teams, and partners  Establish and enforce governance frameworks, review mechanisms, and escalation paths to prevent structural drift, duplication, and deviation from defined standards across internal and external contributors  Design content structures optimized for AI, search, and automation; partner with Engineering, Search, and AI teams to improve discoverability, retrieval accuracy, and overall content performance  Define durable integration patterns across AEM Guides, Help Center, CRM systems, content data platforms, and AI pipelines to ensure seamless interoperability across the ecosystem  Lead architectural alignment across transformation initiatives (AEM Guides, Help Center redesign, AI-driven support), including defining strategies for migration, normalization, and legacy content rationalization  Partner with Product, Content Strategy, and Engineering to ensure content architecture decisions enable intuitive, efficient authoring experiences and reduce reliance on manual workarounds  Drive measurable impact by improving content reuse, reducing translation costs, and scaling operations; define and track architecture health metrics (e.g., reuse efficiency, metadata consistency, search effectiveness, authoring efficiency)  Reduce long-term risk and reliance on external consultants by establishing durable internal frameworks, standards, and governance models for content architecture  Basic Qualifications  Bachelor’s degree in Computer Science, Information Architecture, Content Engineering or related field  8+ years of experience in content architecture, knowledge management, content systems, or structured authoring  8+ years in DITA (structured content methodology) and topic-based authoring  5+ years of experience working with enterprise content management systems such as AEM Guides  5+ years of experience designing metadata models, taxonomy, and content reuse strategies  5+ years of demonstrated ability to lead and influence cross-functional stakeholders without direct authority  Preferred Qualifications  Experience building or governing content models for AI/ML-powered systems or conversational interfaces  Strong understanding of the content lifecycle across authoring, publishing, localization, and consumption  Experience designing integrations across content ecosystems, data platforms, and downstream systems  Experience collaborating with taxonomy and metadata specialists to design scalable classification and retrieval systems  Familiarity with search optimization, semantic tagging, and knowledge graph concepts  Experience driving cross-team adoption of structured content models across distributed authoring teams and external partners  Strong analytical and systems thinking mindset  Excellent stakeholder management