VP, AI Marketing Strategy

Palo Alto, CA (Remote)

$145K/yr – $285K/yrDirector/ExecutiveFull time

Posted 10 days ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Description

Responsibilities

  • 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, not a separate one
  • AI visibility and representation: own how MongoDB appears in AI-generated responses, agent framework recommendations, and developer tool suggestions; This goes beyond content; It 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; You'll define final scope and working ownership with the 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; When a builder reaches for a framework, MongoDB is already there; Execution ownership for existing partner motions is sorted with the relevant marketing leads once you're in the seat
  • 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; You don't own the labor of rewriting content; You own whether it's right, and you hold marketing’s content teams across the company accountable to the standard; Content owned by other teams (e.g., Product) plays by the same standard, and you bring those teams into the effort rather than run a parallel track
  • 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; You define the brief; They execute
  • What we're looking for - 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
  • - 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 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 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

Requirements

  • 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
  • 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 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 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
  • 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
  • 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
  • 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
  • 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
  • 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

Benefits

  • From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.
  • MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
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MongoDB

4.1 Glassdoor

Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our modern database platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens ofthousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.

Founded in 2007
New York, New York, USA
7.6K employees (454 in marketing)
82% recommend to a friend
94% CEO approval

Traffic Signals

Monthly Visitors
5.8M
Monthly Google Ads Budget
$436.3K
Traffic Source Mix
Search
38.9%
Direct
52.3%
Referral
6.9%
Social
0.9%
Paid
1%

Headcount Trend

Current headcount: ~7.6K

Marketing Team

Marketing Team Size
348 (5% of company)
Median Career Experience
13 years
Median Tenure
3.6 years
Marketing Roles Posted (Last 30 Days)
6

Funding

Total Funding
$311M
Last Raise
$80M
Post IPO Equity, 1 years ago

Funding History

  • Nov 2024
    Post IPO Equity
  • Oct 2024
    Post IPO Debt
  • Mar 2018
    Post IPO Equity

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