Answer Engine Optimization (AEO) Lead

Key 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
Team Leadership: Oversee and scale a high-performing team of SEO, AEO, and content optimization professionals, fostering a culture of rapid experimentation in the AI search space
Technical Information Architecture: Collaborate with Product, Engineering, and Documentation teams to optimize MongoDB’s digital footprint for LLM crawlers. Impose best practices for structured data, schema markup, knowledge graphs, and API/documentation accessibility to facilitate flawless RAG (Retrieval-Augmented Generation) ingestion
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

Qualifications
Experience: 8+ years of experience in technical SEO, digital strategy, technical content marketing, or growth engineering, with at least 2–3 years specifically focused on emerging AI technologies, LLM optimization, or semantic search. At least 3 years of experience leading an SEO team
Leadership: Proven track record of hiring, leading, and mentoring technical marketing professionals, alongside a demonstrated ability to influence matrixed cross-functional teams (Product, DevRel, Engineering) without direct authority
Technical Acumen: Deep understanding of how LLMs crawl, index, and retrieve information. Familiarity with semantic HTML, JSON-LD, knowledge graphs, and how modern search engines leverage vector spaces and RAG
Developer Empathy: A strong grasp of how software engineers, architects, and technical decision-makers discover products. 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
Tooling Toolkit: 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)
Preferred Qualifications
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 base salary range for this role in the U.S. is:
$104,000—$204,000 USD

Skills Required
8+ years experience in technical SEO, digital strategy, technical content marketing, or growth engineering
2-3 years focused on emerging AI technologies, LLM optimization, or semantic search
At least 3 years leading an SEO team
Proven experience hiring, leading, and mentoring technical marketing professionals and influencing cross-functional teams
Deep understanding of how LLMs crawl, index, and retrieve information
Familiarity with semantic HTML, JSON-LD, knowledge graphs, vector spaces, and RAG ingestion
Strong developer empathy and experience engaging technical developer audiences and communities
Exceptional executive communication translating technical AI/SEO topics into business outcomes
Proficiency with enterprise SEO suites such as Conductor, Ahrefs, SEMrush
Proficiency with modern AEO/LLM monitoring platforms (e.g., Profound)
Proficiency with web analytics tools (Google Analytics, Amplitude)
Proficiency with project management software (Jira)
Experience with developer community and social listening tools (CommonRoom, Sprinklr, Reddit Mod Tools)
Background in technical writing or managing technical content pipelines for developer tools/databases/cloud infrastructure
Basic understanding of Python or SQL for scraping and analyzing LLM outputs