Taxonomist, Content Design

Taxonomist, Content Design Responsibilities:

• Design, build, and maintain taxonomies, ontologies, and controlled vocabularies that support content organization and navigation across Meta products and platforms
• Conduct audits of existing classification systems and information architectures to identify gaps, inconsistencies, and opportunities for consolidation or improvement
• Develop and document taxonomy governance standards, naming conventions, and metadata schemas to ensure consistency and scalability across product surfaces
• Collaborate with content designers, product managers, engineers, and researchers to integrate taxonomy frameworks into product flows, search systems, and content recommendation experiences
• Apply systems thinking to evaluate how classification decisions affect downstream product experiences, including discoverability, personalization, and localization
• Partner with internationalization and localization teams to ensure taxonomy structures translate effectively across languages and cultural contexts
• Use data analysis and user research insights to validate and iterate on classification systems, ensuring they reflect how people actually think about and seek information
• Contribute to team-level goals by identifying and leading taxonomy projects that span multiple product areas or cross-functional teams
• Communicate taxonomy decisions and tradeoffs clearly to technical and non-technical stakeholders through documentation, presentations, and design reviews

Minimum Qualifications:

• 5+ years of experience in taxonomy development, information architecture, ontology design, or a closely related content design discipline
• Experience designing and maintaining controlled vocabularies, metadata schemas, or classification systems for large-scale digital products or content platforms
• Experience applying systems thinking to identify gaps in content organization and delivering scalable structural solutions across multiple product surfaces
• Experience collaborating with cross-functional partners including engineering, product management, and research to integrate information architecture into product development
• Experience communicating complex structural and classification decisions in writing to both technical and non-technical audiences

Preferred Qualifications:

• Experience establishing taxonomy governance processes and driving adoption of classification standards across large organizations
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with semantic web technologies, knowledge graphs, or ontology languages such as OWL or SKOS
• Demonstrated ability to integrate AI tools into taxonomy and content design workflows to improve efficiency, consistency, or coverage at scale
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Familiarity with search systems, content recommendation engines, or AI-powered content surfaces and how taxonomy structures influence their performance
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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