Senior Product Manager, AI Builders Experience

<p>We're looking for a Senior Product Manager to help drive the strategic vision, product strategy, and roadmap for the AI Builders Experience Team. The <strong>AI Builders Experience team</strong> owns how MongoDB shows up for the rapidly growing community of developers building AI-native applications, with explicit license to explore where this space is heading.

com/docs/atlas/ai-integrations/">our integrations with frameworks</a> like LangChain, Mastra, LlamaIndex and others; the patterns and reference architectures we ship for RAG, agents, and semantic search; and the developer-facing tooling that makes MongoDB the natural choice for AI workloads.

</p> <p>Our customer is the AI application builder, and our job is to deliver an exceptional developer experience for that audience. </p> <p>You're a strong fit if you have already shipped a product or can demonstrate a side-project where developers were the customer and AI was central to the value proposition.

Examples include AI developer tooling such as framework integrations, SDKs/APIs, or agent, evaluation, and observability products. </p> <p>You'll collaborate closely with a globally distributed engineering team and partners across documentation, developer relations, partnerships, and marketing.

</p> <p>We are a distributed team, stretching from our offices in Dublin and NYC to other locations in Europe, the US, and Canada.

</p> <h4><strong>The ideal candidate for this role should have</strong></h4> <ul> <li>5+ years of product management experience with a track record of shipping developer-facing tools, integrations, SDKs, or APIs</li> <li>Hands-on experience as a PM who has owned a developer-facing AI product end to end.

You can point to a specific product, name the developers who used it, articulate how you moved their experience forward, and describe the strategic and technical tradeoffs you owned along the way</li> <li>Working fluency in the modern AI builder stack, including frameworks such as LangChain, Mastra, or LlamaIndex; patterns like RAG, agents, tool use, and evaluation; and the broader landscape of model providers, vector stores, and orchestration tools</li> <li>Ideally have commercial/professional experience developing applications in Python (the interviews for this position may include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments)</li> <li>A demonstrated habit of staying ahead of a fast-moving space.

com/company/values">MongoDB's Core Values</a></li> </ul> <h4><strong>Position Expectations</strong></h4> <ul> <li>Explore the problem space, build connections with your customer base, interact with users in the AI builder community, and formulate the vision, strategy, and roadmap for your area, keeping it aligned with MongoDB's strategic priorities</li> <li>Identify and pursue emerging opportunities in the AI builder space (new frameworks, patterns, partnerships, and use cases) and make evidence-based bets on where MongoDB should invest</li> <li>Deeply understand all aspects of the business.

</li> </ul> <h3>About MongoDB</h3> <p>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. com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win.

</p> <p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. </p> <p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process.