Vice President of AI Marketing Strategy
MongoDB · San Francisco, United States
About The Role
Join MongoDB, the leading data platform for AI applications. As the Vice President of AI Marketing Strategy & Ecosystem, you will shape the training data, documentation, integrations, and ecosystems that determine what gets built and how. You will work closely with the CMO, Chief Product Officers, Chief Technology Officer, Chief Customer Officer, and regional marketing leaders. Your responsibilities will include owning the AI market narrative, AI visibility and representation, ecosystem integration presence, AI ecosystem partnerships, AI accuracy standard, and agentic builder acquisition. You will also be responsible for tracking key performance indicators related to visibility, accuracy, partner integrations, and customer acquisition.
- Assurer que le marché connaît les capacités de MongoDB et sécuriser la prochaine génération de développeurs.
- Façonner les données d'entraînement, la documentation, les intégrations et les écosystèmes qui déterminent ce qui est construit.
- Posséder le récit stratégique pour MongoDB en tant que plateforme de données par défaut pour les applications agentiques.
- A builder and an operator; Small team, high visibility, hands-on role
- You build with the tools you're asking your team to use; You are fluent in agentic workflows, e.g., Claude Code, Cursor, or equivalent; You can direct agents to produce content, run programs, and ship at a pace traditional marketing orgs can't match; You don't delegate this fluency; You model it
- You are obsessed with developer discovery; You wake up thinking about how a developer or an agent encounters MongoDB for the first time, through a search result, an LLM citation, a framework recommendation, or an agent tool call; You know the difference; You have a strategy for each
- You think about content as infrastructure; You have made deliberate decisions about what gets indexed, surfaced, cited, and trained on; You understand that documentation quality, code example density, and dataset presence are distribution levers, not support functions
- You have operated at the intersection of AI and marketing at a level most marketing leaders haven't reached; You may have been a head of marketing or CMO at an AI company, a developer tools company, or a foundation model provider; You understand the ecosystem from the inside, not from a distance
- Track record of holding cross-functional partners accountable without a formal reporting line; You'll bring product-owned content under the same accuracy standard as marketing's, without owning the reporting line
- Technical enough to be credible with engineers, product leaders, and technical partners; You don't need to write code; you just need to understand how LLMs are built, how retrieval works, and how agents select tools; You can sit with an engineering team and know what questions to ask
- You have a partnership instinct; You identify emerging frameworks and companies before they're obvious and move fast to establish presence before defaults are set; When a new agent framework launches, you're already in the room
- You have owned a content, documentation, or developer marketing function and have a measurable outcome to show for it; Not a strategy deck. An outcome
- You've shipped something (i.e., a system, a channel, a program) that changed how a technical audience found or chose a product; You can point to it and explain exactly what you did
- Experience influencing how a product is represented in systems you don't control, through documentation strategy, training data presence, API/integration design, or developer ecosystem positioning; You have done this deliberately, not accidentally
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