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

• Full-time
• Workplace Type:
  Hybrid
• Department:
  Marketing & Communications

Linked In 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 Linked In, 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 Linked In office on select days, asdeterminedby the business needs of the team.

This role will be based in San Francisco Bay Area or NYC.

Linked In’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 Linked In’s web platforms are structured and optimized for AI‑era discovery ting 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, Mar Tech, 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 Linked In 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, Mar Tech, 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…