MongoDB

MongoDB

Answer Engine Optimization (AEO) Lead

United States

Sponsorship not specified$104k-$204kDetected 22 hours ago
PythonHTMLGitSQLMongoDBAWSGCPCloud PlatformsData ScienceNLPLLMsRAGAgentic AIA/B TestingAccessibilityProject ManagementJiraSEOContent MarketingGoogle AnalyticsLeadershipCommunicationMentoringWriting

About the role

  • This role will be based remotely in the United States.

Responsibilities

  • Define & Execute AEO Strategy: Design and own MongoDB's global LLM visibility growth initiatives.
  • Develop and execute strategies focused on increasing the citation share, sentiment, and accuracy of MongoDB across various technical developer audiences and agentic AI models
  • Technical Information Architecture: Collaborate with Product, Engineering, and Documentation teams to optimize MongoDB's digital footprint for LLM crawlers.
  • UGC Response & Community Advocacy: Coordinate a multi-team framework (including Developer Relations and Support) to ensure timely, high-quality, and LLM-friendly insights are present on critical developer watering holes (e.g., Reddit, Stack Overflow, GitHub, Wikipedia).
  • Leverage "build in public" tactics to organically feed LLM training datasets with high-authority brand mentions
  • Evangelize AI-First Content Frameworks: Create corporate guidelines and train cross-functional SMEs, technical writers, and marketers to write effectively for LLMs (e.g., token-friendly syntax, clear entity relationships, and direct intent fulfillment)
  • Advanced Analytics & Attribution: Partner with Data Science and Analytics teams to pioneer new framework metrics for AEO, including Share of Model (SoM), LLM citation impact across third-party sites, and AEO contribution to PLG sign-ups and pipeline
  • Design and own MongoDB's global LLM visibility growth initiatives.
  • Collaborate with Product, Engineering, and Documentation teams to optimize MongoDB's digital footprint for LLM crawlers.

Requirements

  • At least 3 years of experience leading an SEO team
  • Familiarity with semantic HTML, JSON-LD, knowledge graphs, and how modern search engines leverage vector spaces and RAG
  • You understand the cultural nuances required for authentic, high-value engagement in developer communities
  • Executive Communication: Exceptional ability to translate complex AI/SEO technicalities into clear, high-level business outcomes and ROI for executive leadership
  • Exceptional ability to translate complex AI/SEO technicalities into clear, high-level business outcomes and ROI for executive leadership
  • Proficiency with enterprise SEO suites (e.g., Conductor, Ahref, SEMrush), modern AEO/LLM monitoring platforms (e.g., Profound), web analytics (Google Analytics/Amplitude), and project management software (Jira)

Nice to have

  • Experience with developer community and social listening tools (e.g., CommonRoom, Sprinklr, Reddit Mod Tools)
  • Background in technical writing or managing technical content pipelines for developer tools, databases, or cloud infrastructure
  • Basic understanding of Python or SQL to assist in scraping, analyzing LLM outputs, or manipulating large datasets
  • MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI.
  • Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
  • Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.
  • It's what makes us MongoDB.
  • Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

Compensation

  • Salary is one part of MongoDB's total compensation and benefits package.
  • Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
  • MongoDB's base salary range for this role in the U.S. is:
  • MongoDB's base salary range for this role is posted below.
  • $104,000 - $204,000 USD

Benefits

  • Salary is one part of MongoDB's total compensation and benefits package.
  • Other benefits for eligible employees may include:
  • Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

Company info

  • We are seeking a visionary Answer Engine Optimization Lead to spearhead our Large Language Model (LLM) and AI platform visibility strategy (e.g., ChatGPT, Claude, Google AI Overviews, Perplexity).
  • Reporting into the Director of Marketing Acquisition, this role will be responsible for expanding our brand authority, maximizing developer mindshare, and driving new customer acquisition by optimizing MongoDB's presence within LLM and answer engine responses.
  • If you thrive at the intersection of technical content architecture, structured data, community advocacy, and AI-era discovery-and you want to lead a team on the front lines of defining the next wave of search experience optimization-this is a critical leadership role designed to accelerate target audience awareness and Product-Led Growth (PLG).
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This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.