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).
This role will be based remotely in the United States.
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)
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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
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. 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.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
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.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 2273495599
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. 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. 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:
$104,000—$204,000 USD
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