Staff Content Architect

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 LinkedIns 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 LinkedIns 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 LinkedIns 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 architectureensuring 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 goalstranslating 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 

Qualifications :

Basic Qualifications 

• Bachelors 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 and executive communication skills 

Suggested Skills 

• Structured content architecture and DITA content modeling 
• AI-ready content design search optimization and content discoverability 
• Metadata strategy taxonomy alignment and content reuse governance 
• Cross-functional influence stakeholder alignment and executive communication 

LinkedIn is committed to fair and equitable compensation practices. 

The pay range for this role is $115000 to $186000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor. 

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit  Information :

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No

Employment Type :

Full-time