MongoDB serves as the data layer powering the most important AI applications; positioning as the generational data platform for agentic applications.
Responsibilities
Own the AI market narrative: strategic case for MongoDB as default data platform for agentic applications
Own AI visibility and representation in AI-generated responses, agent framework recommendations, developer tool suggestions
Own MongoDB's presence inside tools and environments where builders work, including marketing side of integrations
Own co-marketing with key AI ecosystem partners across agent frameworks, deployment platforms, frontier model providers
Set the AI accuracy standard for product and technical content interpreted by AI systems
Own new paths to agentic builders and set AI-specific plays for regional marketing teams
Requirements
Operated at the intersection of AI and marketing at a senior level (head of marketing or CMO at AI company, developer tools company, or foundation model provider)
Fluent in agentic workflows (Claude Code, Cursor, or equivalent)
Think about content as infrastructure: indexing, surfacing, citation, training data
Obsessed with developer discovery across search, LLM citation, framework recommendation, agent tool call
Technical enough to be credible with engineers: understand how LLMs are built, how retrieval works, how agents select tools
Influenced a product roadmap from a marketing seat with specific acquisition/adoption outcome
Partnership instinct: identify emerging frameworks before obvious
Experience influencing how a product is represented in systems you don't control
Conditions
Based in San Francisco or Palo Alto offices, or remotely in the region