Senior Product Manager, AI Builders Experience
MongoDB is looking for a Senior Product Manager to help drive the strategic vision, product strategy, and roadmap for the AI Builders Experience Team, which owns how MongoDB shows up for the rapidly growing community of developers building AI-native applications. This includes integrations with frameworks like LangChain, Mastra, and LlamaIndex; patterns and reference architectures for RAG, agents, and semantic search; and developer-facing tooling that makes MongoDB the natural choice for AI workloads. You will collaborate closely with a globally distributed engineering team and partners across documentation, developer relations, partnerships, and marketing, serving AI application builders as your customer.
Responsibilities
- ▹Explore the problem space, build connections with the customer base, interact with users in the AI builder community, and formulate the vision, strategy, and roadmap aligned with MongoDB's strategic priorities
- ▹Identify and pursue emerging opportunities in the AI builder space (new frameworks, patterns, partnerships, use cases) and make evidence-based investment bets
- ▹Deeply understand all aspects of the business, ensuring business outcomes rather than just product definition
- ▹Work closely with engineering and product marketing to design, ship, and position new capabilities of the MongoDB AI builder experience
- ▹Collect and analyze data that drives product decisions, including signals from community channels, telemetry, partnerships, and direct customer engagement
- ▹Work with thought leaders across the AI ecosystem (framework maintainers, model providers, open-source contributors) to establish credibility and shape discussions
- ▹Engage in go-to-market activities such as marketing campaigns, surveys, conference presentations, and sales messaging
Requirements
- ▹5+ years of product management experience with a track record of shipping developer-facing tools, integrations, SDKs, or APIs
- ▹Hands-on experience as a PM who has owned a developer-facing AI product end to end, with concrete examples of users, impact, and owned tradeoffs
- ▹Working fluency in the modern AI builder stack: 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
- ▹A demonstrated habit of staying ahead of a fast-moving space, with defensible opinions on which emerging tools, techniques, or communities matter and why
- ▹Familiarity with adjacent ML and Data Science concepts and tooling (e.g. Pandas, NumPy, common ML frameworks) and understanding of how AI applications are built, deployed, and monitored in production
- ▹Comfort with the unique challenges of AI product development (model uncertainty, evaluation difficulty, longer or non-linear development cycles) and the ability to set realistic expectations with stakeholders
- ▹Ability to distill customer use cases into comprehensive business cases and execute on them
- ▹A commitment to fostering an inclusive and respectful work environment in line with MongoDB's Core Values
Nice to have
- ▹Commercial/professional experience developing applications in Python (interviews may include a live coding component)
Soft skills
What we offer
- ▹Employee affinity groups
- ▹Fertility assistance
- ▹Generous parental leave policy
- ▹Distributed team with occasional in-person meetings for project kickoffs, workshops, and team events
About the company
MongoDB is built for change, empowering customers and employees to innovate at the speed of the market. Its unified data platform helps organizations modernize legacy workloads and unleash AI. The cloud-native MongoDB Atlas is the only globally distributed, multi-cloud data platform, available across AWS, Google Cloud, and Microsoft Azure, with over 67,000 customers including 75% of the Fortune 100. MongoDB is an equal opportunities employer.