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

LinkedIn; California (MO); Hybrid; USD 170,000 - 278,000; Full time

Job summary

LinkedIn is seeking a Web Platform Search Optimization Lead to own how our web properties are structured for AI-era discovery at scale. You’ll ensure AEM implementations maximize crawlability, metadata quality, and AI visibility across marketing sites, microsites, and Help Center.

You’ll collaborate with SEO, Content, Web Engineering, and SSO teams to build durable standards, automated validation, and scalable systems that embed optimization into daily operations.

Qualifications

• Bachelor's degree in Marketing, Business, or related field.
• 7+ years in web marketing, performance marketing, UX, SEO, or equal experience.
• Experience with enterprise CMS and scalable templates.

Responsibilities

• Own platform-level search and AI discovery optimization for LinkedIn web properties.
• Define scalable standards across AEM Sites and AEM Guides for discoverability.
• Monitor site health and translate findings into prioritized action plans with partners.
• Advise on platform migrations, ensuring traffic stability and long-term discoverability.
• Guide migration decisions, including redirects and content pruning.
• Build automated validation systems and AI-assisted workflows for optimization.
• Partner on AI automation to systematize optimization workflows.
• Act as accountable for platform optimization standards and documentation.
• Lead integration of AEM with APIs and tooling to scale optimization.

Skills

AI Fluency

Strategic Thinking

Cross-Team Collaboration

Stakeholder Management

Data Analysis

Education

Bachelor's degree in Marketing, Business, or related field

Job description

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

At LinkedIn, our approach to flexible work is centered on trust andoptimizedfor 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, asdeterminedby 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.

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.

SuggestedSkills

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

LinkedIniscommittedtofairandequitablecompensationpractices.The pay range for this role is$170,000 to $278,000.Actualcompensationpackagesarebasedonseveralfactorsthatareuniquetoeachcandidate,includingbutnot 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.

Thetotalcompensation packagefor this positionmay also includeannualperformancebonus,stock, benefitsand/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

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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