MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
We are seeking an LLM Optimization Lead to drive growth via Large Language Models (LLMs) and AI platforms (e.g., ChatGPT, Google SGE) through distributed and external channels like Reddit, Medium, and StackOverflow. Reporting into the Digital Acquisition Marketing team, this role will be responsible for expanding our brand visibility and driving new customer acquisition by optimizing our presence in LLM/answer engine responses.
If you thrive at the intersection of content strategy, structured data, and AI-era SEO — and you want to join a team on the front lines, helping us define the next wave of content marketing and search experience optimization—this is a critical individual contributor role designed to accelerate target audience awareness, engagement, and acquisition.
Own LLM growth initiatives for distributed channels. Develop and execute content initiatives focused on SEO and Answer Engine Optimization (AEO). Own audience engagement programs across distributed channels (Reddit, G2, StackOverflow, Wikipedia, etc.) by leveraging optimization strategies to build our visibility and authority in LLM platforms and AI Engines Evangelize the SEO tactics we’ll need to expand our brand presence within high-citation, LLM-relevant communities. This includes creating guidelines and training cross-functional teams and SMEs to write effectively for LLMs (e.g., token-friendly content) Facilitate UGC response and advocacy. Coordinate a multi-team process to ensure timely, high-quality, and LLM-friendly answers are provided on Reddit, Stack Overflow, and similar UGC platforms. Develop and execute a community strategy, including “build in public” tactics and user-driven advocacy. Use strategic community engagement to increase our visibility and positive sentiment, directly impacting brand mentions in LLM responses Develop and analyze LLM performance tracking. Collaborate with analytics and leverage LLM visibility tools to establish reporting on community engagement effectiveness, LLM citation impact across third-party sites, and LLM contributions to new customer acquisition. Help us measure what matters—specifically the influence of external content on LLM outputs and conversions
Req ID: 4263311431
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.
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, 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. 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: $101,000 — $198,000 USD