• Develop and implement comprehensive SEO strategies aligned with client business objectives across e-commerce, DTC, and consumer brands. • Conduct keyword research, site audits, and competitor analyses to identify growth opportunities in both traditional and AI-powered search environments. • Continuously analyze and report on SEO performance metrics, providing actionable insights and clear recommendations to clients and internal stakeholders. • Monitor rankings, organic traffic, and AI citation frequency, adjusting tactics based on performance data. • Optimize client content and digital properties for visibility within LLM-powered search engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude). • Develop and execute strategies to increase how often and how favorably client brands are referenced in AI-generated answers and recommendations. • Monitor the rapidly shifting landscape of how LLMs source, rank, and cite information, and translate changes into actionable client strategies. • Build and maintain frameworks for tracking “AI share of voice” across generative search platforms. • Collaborate with content teams to build strategies that serve dual purposes: ranking in traditional search AND being surfaced by AI systems as authoritative, trustworthy sources. • Build and maintain effective link-building campaigns to enhance domain authority and AI discoverability. • Identify high-value external partnership opportunities, guest posting placements, and relevant industry directories. • Monitor and manage backlink profiles to maintain a strong online reputation. • Create and manage content briefs, oversee article creation, and perform QA to ensure premium quality outputs across all content deliverables. • Partner with cross-functional teams (Content, Creative, Paid Media, Marketplaces, Retention) to deliver integrated marketing campaigns. • Present complex SEO and GEO insights to clients and stakeholders in clear, accessible language. • Support the Associate Director in developing proprietary methodologies, playbooks, and reporting frameworks for AI marketing services. • Foster a culture of continuous learning and experimentation, sharing AI search best practices across the broader Darkroom organization.

• Implementation of the Revenue Architecture: You guide our clients (publishers and e-commerce brands) in shifting their content and SEO strategy to the principle of the intent cliff (theoretical skeleton vs. operational flesh). • Vector and entity analyses: You systematically analyze and fill topic voids in the vector spaces and entity clusters of major LLMs. • In-house transformation: You lead workshops and training for editorial, product, and SEO teams at our clients and embed the new system operationally in their workflows. • Technical onboarding: You help clients align their CMS (e.g., WordPress plugins) for maximum Authority Density. • Feedback loop: You work closely with our product team to translate data from our searchneedsLOVE app directly into operational levers for clients.

Role Description As an SEO Supervisor, you will lead the development and execution of integrated SEO strategies across content, technical, and search visibility initiatives. This role serves as a key client partner, translating business objectives into actionable SEO recommendations, overseeing program execution, and delivering data-driven insights that drive performance. Working closely with cross-functional teams, you'll identify growth opportunities, contribute thought leadership, support new business initiatives, and ensure the delivery of high-quality, impactful work that helps clients succeed in an evolving search landscape. Responsibilities - Oversees the development and execution of content and technical SEO strategies, tactics, and deliverables. - May include developing and performing detailed site audits to identify issues and ensure site is properly optimized for search engine and AI visibility. - Editing documentation delivered internally or externally by the SEO department and maintaining internal technical/content resources such as checklists and style guides. - Crafting keyword lists & reports. - Serves as client point-of-contact for day-to-day SEO programs. - Understands clients’ overarching marketing objectives and how digital fits/complements their goals. - Presents strategy/technical/content findings to clients; prepares routine/ad-hoc reports for clients and internal teams. - Responsible for measuring results and creating actionable insights and recommendations based on data. - Collaborates with team leaders, monitors quality, accuracy, and timeliness of team communications and deliverables, produces ongoing thought capital. - Cultivates client relationships & helps drive client business. - Assists SEO leadership with new business pitches & finding opportunities to grow existing business. - Identifies opportunities & relevant industry insights. Qualifications - 3-5 years of experience in SEO with a strong focus on commerce & content. - Understands how to adapt SEO findings for AI platforms. - Familiarity with large scale websites (+20M pages) and ability to diagnose issues related to traffic/indexation. - Ability to prioritize recommendations into projects and roadmaps. - Demonstrated proficiency presenting SEO strategies to mid- and senior-level clients in a confident manner. - Strong knowledge of SEO/GEO tools such as SEMRush, Conductor, BrightEdge, Screaming Frog, DeepCrawl, Botify, Profound, Google Search Console, etc. - Ability to field questions/offer advice regarding developing SEO content/content strategies. - Ability to work independently with minimal supervision; has exceptional verbal/written communication skills. Benefits - Paid Family Care for parents and caregivers for 12 weeks or more. - Monetary assistance and support for Adoption, Surrogacy, and Fertility. - Monetary assistance and support for pet adoption. - Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance. - Tuition Assistance. - Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more. - Matching Gifts programs. - Flexible working arrangements. - ‘Work Your World’ Program encouraging employees to work from anywhere. - Business Resource Groups that support multiple affinities and alliances.

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) - 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 MongoDBMongoDB 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