Senior Technical Product Marketing Manager

MongoDB•Palo Alto, CA

2d•$92,000 - $182,000•Hybrid

About The Position

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.

Requirements

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
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
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
Prior experience in technical sales, developer relations, or technical marketing
Voracious consumer of AI research and pays close attention to shifting patterns in application architectures and development, including agentic systems
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

Responsibilities

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
Enable teams with data-driven positioning, messaging, and persona development. You will advise teams on the best tactics to influence diverse audiences
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
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
Develop and execute cross-functional launch strategies for new Search and Vector Search functionality and capabilities that grow adoption and revenue