We are hiring a Senior Technical Product Marketing Manager to lead positioning and messaging and to grow adoption of MongoDB Search and Vector Search as foundational components of our platform – the retrieval layer powering the next generation of grounded AI applications and agents.
This is a high-impact role for a marketer who thinks like a builder. As developers architect increasingly sophisticated systems – RAG pipelines, agentic workflows, multi-modal search experiences – retrieval has moved from an implementation detail to a core design decision. You’ll join a high-performing, globally distributed team and partner closely with Marketing, Builder Relations, Product Management, Engineering, Partners, and Sales to develop, measure, and achieve cross-functional goals.
The role requires technical depth in information retrieval — lexical and vector search, hybrid approaches, embeddings, re-ranking, agentic retrieval loops, and the tradeoffs that matter in production systems — paired with the product marketing instincts to turn that depth into crisp, differentiated messaging for distinct user and buyer personas. Hands-on experience building or shipping AI-enabled products is a strong advantage. Individuals with prior experience in technical sales, developer relations, or technical marketing are encouraged to apply. This person is a voracious consumer of AI research and pays close attention to shifting patterns in application architectures and development, including agentic systems. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences.
We are looking to speak to candidates who are based in the US for our hybrid working model.
What You’ll Do
- Drive Strategy & Execution: Act as a strategic partner for high-impact initiatives that align with MongoDB’s long-term business goals in collaboration with Marketing, Developer Relations, Product Management, Engineering, Partners, and Sales
- Drive GTM Excellence: Enable teams with data-driven positioning, messaging, and persona development. You will advise teams on the best tactics to influence diverse audiences
- Build Technical Content: Create compelling technical content that educates audiences on how and why Search and Vector Search enable advanced information retrieval as part of AI application and agentic system building
- Dive Deep Into Data: Serve as a subject matter expert on search and retrieval, shifting application development patterns, and how embedding and reranking models fit into the AI stack by gathering data from diverse sources and synthesizing it for internal and external audiences
- Execute Product Launches: Develop and execute cross-functional launch strategies for new Search and Vector Search functionality and capabilities that grow adoption and revenue
We’re Excited About You Because
- Proven experience with 5-8 years in product marketing, product management, developer relations, or solutions engineering, preferably in B2B technology, AI/ML, cloud, and/or enterprise software, with a strong track record of success
- A demonstrated ability to thrive in a fast-paced, high-growth environment, where you are trusted to help develop and execute strategies to meet business objectives
- Proven ability to bring strong, data-driven judgment to day-to-day work
- High-bar communication (both verbal and written), capable of influencing the priorities of cross-functional teams and senior leaders. You should be excited to deliver your perspectives and progress to leadership
- Deep understanding of the fundamentals of technology (ideally databases, cloud infrastructure, the developer landscape, and how they are connected to embedding models and generative AI) and the ability to effectively connect a product area to its business impact
- Genuine empathy for customer challenges and pain points, with the ability to understand the common use cases and implementation specifics that customers are facing
- A strong bias for action and the ability to decompose problems into effective solutions and drive execution cross-functionally
- A low ego-to-talent ratio and ability to effectively represent the company as a subject matter expert in executive-level customer calls, analyst briefings, and public appearances
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 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.
With offices worldwide and over 60,000 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: 2273450299
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:
$92,000—$182,000 USD