VP, AI Marketing Strategy
$145,000–$285,000 year
On-sitePalo Alto, California, United States
Job Summary
Own the strategic case for MongoDB as the default data platform for agentic applications, ensuring the narrative holds up under analyst scrutiny and resonates with builders. Direct how MongoDB appears in AI-generated responses and agent framework recommendations by setting accuracy standards for training data, documentation, and code examples. Secure presence inside builder tools and environments through co-marketing with key AI ecosystem partners across agent frameworks and frontier model providers. Define briefs for regional teams to execute new acquisition paths for agentic builders while holding cross-functional product and content teams accountable to technical accuracy standards. Report to the CMO and collaborate with Chief Product and Technology Officers to align efforts on the agent-first roadmap.
Required Qualifications
- Operated at the intersection of AI and marketing at a level most marketing leaders haven't reached
- Understand the ecosystem from the inside, not from a distance
- Fluent in agentic workflows, e.g., Claude Code, Cursor, or equivalent
- Can direct agents to produce content, run programs, and ship at a pace traditional marketing orgs can't match
- Don't delegate this fluency
- Model this fluency
- Think about content as infrastructure
- Made deliberate decisions about what gets indexed, surfaced, cited, and trained on
- Understand that documentation quality, code example density, and dataset presence are distribution levers, not support functions
- Obsessed with developer discovery
- 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
- Know the difference
- Have a strategy for each
- Technical enough to be credible with engineers, product leaders, and technical partners
- Don't need to write code; you just need to understand how LLMs are built, how retrieval works, and how agents select tools
- Can sit with an engineering team and know what questions to ask
- Have a partnership instinct
- 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
- 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
- Have done this deliberately, not accidentally
- Shipped something (i.e., a system, a channel, a program) that changed how a technical audience found or chose a product
- Can point to it and explain exactly what you did
- Owned a content, documentation, or developer marketing function and have a measurable outcome to show for it
- Not a strategy deck. An outcome
- Track record of holding cross-functional partners accountable without a formal reporting line
- Will bring product-owned content under the same accuracy standard as marketing's, without owning the reporting line
- A builder and an operator
- Small team, high visibility, hands-on role
- This role can be based out of our San Francisco or Palo Alto offices, or remotely in the region
Desired Qualifications
- May have been a head of marketing or CMO at an AI company, a developer tools company, or a foundation model provider
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.