Senior Product Manager, AI Search Growth (SEO/GEO)

LinkedInMountain View, CA
1d$151,000 - $246,000Hybrid

About The Position

This role will be based in Sunnyvale / Mountain View, San Francisco, CA, or Seattle, WA. 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. We’re looking for an experienced Senior Product Manager on the Core Growth team to lead LinkedIn’s AI Search Growth workstream. This is a unique opportunity to own the product vision, strategy, and roadmap for how LinkedIn content is discovered across traditional search engines and emerging AI-powered answer platforms. In this high impact, high visibility role, you’ll have a direct line of sight to driving critical company metrics such as DAU and sessions by shaping one of LinkedIn’s largest external acquisition channels. You’ll operate as a full-stack product builder, owning everything from problem definition and roadmap through execution, launch, and iteration. You’ll work with fully staffed engineering and cross-functional teams to strengthen LinkedIn’s SEO foundations and advance our GEO (Generative Engine Optimization) strategy, ensuring our content is surfaced, cited, and trusted in AI-mediated search experiences. You’ll also own the go-to-market (GTM) alignment with Marketing, Editorial, International, and additional partners to drive durable, global growth. In this role, you’ll play a key part in adapting LinkedIn’s growth strategy to an evolving AI search ecosystem while advancing our mission to create economic opportunity for every professional around the world. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.

Requirements

  • BS/BA Degree in a technology related field OR equivalent experience
  • 4+ years of experience in product management or equivalent role

Nice To Haves

  • 6+ years of experience in product management or equivalent role
  • Experience owning SEO, search, marketplace discovery, or organic growth product areas at scale.
  • Strong understanding of technical SEO fundamentals including indexing, site architecture, structured data, and page performance.
  • Familiarity with emerging AI search paradigms and their impact on traffic, visibility, and acquisition strategy.
  • Experience with user acquisition/top of funnel user growth.
  • Experience working on highly iterative product development.
  • Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to the marketplace.
  • Ability to manage and lead across highly cross-functional teams.
  • Ability to communicate findings clearly to both technical and non-technical audiences.

Responsibilities

  • Collaborate with engineering, data science, design, and other counterparts to build the team’s strategy and roadmap for AI Search Growth and drive execution.
  • Build a deep understanding of external discovery funnels, search behavior, and AI search trends through qualitative and quantitative research, identifying high impact product opportunities.
  • Create user stories, use cases, requirement documents and proposals with clear MVP definition and success metrics. Measure progress of organic acquisition, engagement, and downstream KPIs toward targets.
  • Serve as the main POC and SME for AI Search Growth (SEO/GEO), collaborating across functions (PMM, Editorial, Marketing, International, PR, and other teams) to bring initiatives successfully to market.
  • Communicate and evangelize the product vision and progress throughout LinkedIn from C-level stakeholders on down. Ensure transparency and alignment across the company.
  • Lead analyses of the competitive search landscape, algorithm updates, AI search developments, and product metrics to determine the right set of technical and content features to drive sustainable growth.
  • Identify and prioritize tech investments across crawlability, indexing, structured data, site architecture, and experimentation frameworks necessary for long-term resilience in AI-driven search ecosystems.
  • Develop and monitor OKRs for key product initiatives and ensure alignment with stakeholder objectives.
  • Work horizontally across LinkedIn’s key businesses and influence roadmap decisions that impact global external discoverability and acquisition.
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