Answer Engine Optimization (AEO) Lead

MongoDB is the next-generation database that helps businesses transform their industries by harnessing the power of data. The world’s most sophisticated organizations, from cutting-edge startups to the largest companies, use MongoDB to create applications never before possible at a fraction of the cost of legacy databases.

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

• Define & Execute AEO Strategy: Design and own MongoDB’s global LLM visibility growth initiatives.
• Team Leadership: Oversee and scale a high-performing team of SEO, AEO, and content optimization professionals.
• Technical Information Architecture: Collaborate with Product, Engineering, and Documentation teams to optimize MongoDB’s digital footprint for LLM crawlers, imposing best practices for structured data, schema markup, knowledge graphs, and API/documentation accessibility for RAG ingestion.
• UGC Response & Community Advocacy: Coordinate a multi-team framework to ensure timely, high-quality, and LLM-friendly insights on developer communities (e.g., Reddit, Stack Overflow, GitHub, Wikipedia).
• Evangelize AI-First Content Frameworks: Create corporate guidelines and train cross-functional SMEs, technical writers, and marketers to write effectively for LLMs.
• 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, and AEO contribution to PLG sign-ups and pipeline.

• 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.
• Deep understanding of how LLMs crawl, index, and retrieve information, including semantic HTML, JSON-LD, knowledge graphs, and RAG.
• Strong grasp of developer communities and cultural nuances for authentic engagement.
• Exceptional ability to translate complex AI/SEO technicalities into clear business outcomes 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).
• Preferred: Experience with developer community tools, technical writing, and basic Python or SQL.

MongoDB’s base salary range for this role in the U.S. is $104,000—$204,000 USD. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings.