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Sr. Digital Marketing Manager II, Web Platform Optimization, SEO & AI Search

LinkedIn


Job Location:

San Francisco, CA - USA

Monthly Salary: Not provided by the employer
Posted: 22 May 2026 (30+ days ago)
Application Deadline: 19 August 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

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 will be based in San Francisco Bay Area or NYC. 

LinkedIns web platforms play a critical role in how professionals discover trust and engage with information - increasingly through AIpowered search and large language models not just traditional search engines.

Were looking for a Web Platform Search Optimization Lead to own how LinkedIns web platforms are structured and optimized for AIera discovery at scale. Sitting within Web Marketing this role ensures that our Adobe Experience Manager (AEM) implementations across marketing sites microsites and the Help Center are designed to maximize crawlability performance accessibility taxonomy and data tagging structured data and AI/LLM visibility.

For this platformlevel optimization role youll focus on building durable standards automated validation and scalable systems so optimization is embedded into how we operate not addressed through oneoff fixes after the fact. The role partners closely with SEO Content Web Engineering MarTech and SSO teams and plays a key advisory role during major platform transitions such as the Help Center migration from Lithograph to AEM Guides.

Responsibilities

  • Own platformlevel search and AI discovery optimization across LinkedIn web properties including marketing sites microsites and the Help Center.
  • Define and enforce scalable technical standards and governance across AEM Sites and AEM Guides to maximize discoverabilityensuring crawlability accessibility metadata and schema quality taxonomy and tagging consistency redirect integrity URL hygiene and overall site health for both traditional search and AI/LLM visibility.
  • Monitor site health and core technical vitals identify gaps and opportunities and translate findings into clear prioritized action plans with SEO Content Web Engineering MarTech and SSO partners.
  • Serve as a technical advisor and partner for major platform transitionsespecially the Help Center migration from Lithograph to AEM Guidesensuring migrations maintain traffic stability improve longterm discoverability and avoid introducing technical debt.
  • Guide migrationcritical decisions and cleanup efforts including redirect strategy remediation of broken or legacy pages metadata/schema consistency and recommendations for pruning thin or outdated content.
  • Build (or drive the build of) automated validation systems and AIassisted / agentic workflows that continuously monitor site health and optimization quality enabling proactive optimization across large page inventories.
  • Partner on AI automation efforts (e.g. Claudebased workflows) to operationalize repeatable optimization processes while retaining internal ownership governance and review.
  • Act as the internal point of accountability for platformlevel optimization standards across Web and Help producing documentation and guidance that enable teams to operate efficiently within shared standards.
  • Lead integration of AEM with internal and external platforms APIs and automation tooling to scale optimization (e.g. centralized schema management Adobe SEO optimizer and validation layers) reducing manual effort and ensuring consistency across large page inventories.  

Qualifications :

Basic Qualifications

  • Bachelors degree in Marketing Business or related field AND 7 years of experience in web marketing performance marketing user experience technical SEO search and discovery optimization or equivalent experience.
  • 7 years of experience in technical SEO fundamentals including crawlability and indexation metadata structured data and redirect strategy.
  • 7 years of experience working with enterprise content management systems (CMS) and translating optimization requirements into scalable templates components or standards.

Preferred Qualifications

  • 3 years direct experience with Adobe Experience Manager (AEM) and/or AEM Guides including structured content models (e.g. DITA) and localization workflows at scale.
  • Experience advising on or leading SEO-sensitive platform migrations (e.g. CMS changes URL restructures redirect strategies at scale).
  • Familiarity with AI-era discovery concepts such as AEO AI Overviews and LLM visibility and how content structure taxonomy and markup influence AI systems.
  • Strong understanding of accessibility and performance considerations that impact discoverability (e.g. core technical vitals rendering page speed).
  • Experience building repeatable standards and governance models that reduce technical debt over time.
  • Experience partnering with automation or tooling initiatives to systematize optimization workflows (e.g. automated auditing validation prioritization).
  • Proven ability to influence and drive alignment across cross-functional partners without direct authority and to translate technical concepts into clear actionable guidance for non-technical stakeholders.

Suggested Skills  

  • AI Fluency 
  • Strategic Thinking 
  • Cross-Team Collaboration 
  • Stakeholder Management 
  • Data Analysis 

LinkedIn is committed to fair and equitable compensation practices.  The pay range for this role is $149000 to $233000. 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 :

Equal Opportunity Statement 

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.

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Fill out an Accommodation request here: accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

  • Documents in alternate formats or read aloud to you
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A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates

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No


Employment Type :

Full-time


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