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Taxonomist, Content Design

Meta
Seattle, WA$120k–$171kPosted Aug 4, 2026
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Taxonomist, Content Design

Meta Seattle, WA

Taxonomist, Content Design

Meta Seattle, WA 1 week ago 48 applicants

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Meta provided pay range

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $171,000.00/yr Meta is seeking a taxonomist to design and maintain the classification systems, semantic frameworks, and information architectures that power intuitive product experiences across Meta's family of apps and platforms. In this role, you will apply deep expertise in taxonomy development, ontology design, and controlled vocabularies to bring structure and clarity to complex content ecosystems at scale. You will partner closely with content designers, product managers, engineers, and data scientists to ensure that how Meta organizes, labels, and surfaces information is consistent, scalable, and user-centered — from social experiences to AI-powered products and beyond.

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
  • Bachelor's degree in Linguistics, English, Liberal Arts, Information Sciences or other related field
  • 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)

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$120,000/year to $171,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

  • Seniority level

    Not Applicable

  • Employment type

    Full-time

  • Job function

    Information Technology

  • Industries

    Technology, Information and Internet

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