Digital Marketing Manager 2 - Web Platform Optimization, SEO & AI Search

Job Description

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. 

LinkedIn’s web platforms play a critical role in how professionals discover, trust, and engage with information - increasingly through AI‑powered search and large language models, not just traditional search engines.

We’re looking for a Web Platform Search Optimization Lead to own how LinkedIn’s web platforms are structured and optimized for AI‑era 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 platform‑level optimization role, you’ll focus on building durable standards, automated validation, and scalable systems so optimization is embedded into how we operate, not addressed through one‑off 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 platform‑level 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 discoverability–ensuring 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 transitions—especially the Help Center migration from Lithograph to AEM Guides—ensuring migrations maintain traffic stability, improve long‑term discoverability, and avoid introducing technical debt.
• Guide migration‑critical 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 AI‑assisted / agentic workflows that continuously monitor site health and optimization quality, enabling proactive optimization across large page inventories.
• Partner on AI automation efforts (e.g., Claude‑based workflows) to operationalize repeatable optimization processes, while retaining internal ownership, governance, and review.
• Act as the internal point of accountability for platform‑level 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

• Bachelor's 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 $170,000 to $278,000. 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 https://careers.linkedin.com/benefits. 

Additional 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.

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• Documents in alternate formats or read aloud to you
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