VP, AI Marketing Strategy

What you will own

AI market narrative: Own the strategic case for MongoDB as the default data platform for agentic applications; ensure the story holds up under scrutiny from analysts and competitors; and ensure it resonates with builders. Partner with Product Management and Product Marketing to keep the AI story integrated into MongoDB's core narrative.

AI visibility and representation: Own how MongoDB appears in AI-generated responses, agent framework recommendations, and developer tool suggestions. This includes documentation quality, technical accuracy, and the underlying infrastructure that determines how MongoDB is represented across AI systems and training data.

Ecosystem integration presence: Own MongoDB's presence and prominence inside the tools and environments where builders work. This includes the marketing side of integrations and the ecosystem relationships that make them land. Define final scope and working ownership with existing partner and revenue marketing leaders in your first 90 days.

AI ecosystem partnerships: Own co-marketing with MongoDB's key AI ecosystem partners across agent frameworks, deployment platforms, and frontier model providers. Ensure that when a builder reaches for a framework, MongoDB is already there. Execution ownership for existing partner motions is sorted with the relevant marketing leads.

AI accuracy standard: Set the bar for how MongoDB's product and technical content should be interpreted by AI systems, including training data, documentation, and code examples. Hold marketing’s content teams across the company accountable to the standard. Bring product-owned content under the same standard.

Agentic builder acquisition: Own new paths to agentic builders and the systems they deploy. Set the AI-specific plays and priorities for regional marketing teams. Define the brief for execution.

What we're looking for

• Operated at the intersection of AI and marketing at a senior level (head of marketing, CMO at AI company, developer tools, or foundation model provider).
• Fluent in agentic workflows (e.g., Claude Code, Cursor); build with the tools and model this fluency.
• Think about content as infrastructure; deliberate decisions on indexing, surfacing, citation, and training data.
• Obsessed with developer and agent discovery across search, LLM citations, framework recommendations, and tool calls.
• Technically credible with engineers and product leaders; understand LLMs, retrieval, and agent tool selection.
• Strong partnership instinct; identify and engage emerging frameworks early.
• Experience influencing product representation in uncontrolled systems via documentation, training data, APIs, or ecosystem positioning.
• Shipped a system, channel, or program that changed how a technical audience discovered or chose a product, with measurable outcomes.
• Owned a content, documentation, or developer marketing function with proven results.
• Track record holding cross-functional partners accountable without direct reporting lines.
• Builder and operator for a small, high-visibility, hands-on role.

How we'll measure success

• Citation count across AI-generated developer responses.
• Accuracy rate for branded MongoDB queries in AI search platforms.
• Partner integrations live across priority agent frameworks.
• Cross-functional commitments secured against the agent-first roadmap (quarterly tracking).
• Pipeline sourced or influenced from the agentic builder segment.
• New customer acquisition and free-to-paid conversion from agentic builders via PLG.