LinkedIn

LinkedIn

Staff Content Architect

Mountain View, CA, United States · Staff+ · Contract

Sponsorship not specified$115k-$186kDetected 108 days ago
Platform EngineeringMachine LearningStakeholder ManagementContent MarketingCRMCommunication

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 169 green-card filings in this occupation, 99% were for a worker who already held the job.

Green-card follow-through: 88%

Of 120 labor certifications old enough to have been used, 15 expired without the employer filing the next step. Median time from filing to decision: 493 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Reported a layoff in this occupation

In a green-card filing decided 2026-06-17, this employer stated it had laid off workers in Software Developers (CA) during the preceding six months. 3 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.

Files H-1B transfers

233 transfer filings in the last year, covering 1907 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • 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.

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
  • 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
  • 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
  • Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

Requirements

  • 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

Nice to have

  • Strong understanding of the content lifecycle across authoring, publishing, localization, and consumption
  • Experience designing integrations across content ecosystems, data platforms, and downstream systems
  • Familiarity with search optimization, semantic tagging, and knowledge graph concepts
  • Strong analytical and systems thinking mindset
  • Excellent stakeholder management and executive communication skills
  • Suggested Skills
  • Structured content architecture and DITA content modeling
  • Metadata strategy, taxonomy alignment, and content reuse governance

Compensation

  • As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Company info

  • Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.

Equal opportunity

  • We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.
  • LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
  • LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities.
  • Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

Visa & Work Authorization

  • in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class

This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.