VP, AI Marketing Strategy

Навыки

• API (интеграции)
• AWS
• Azure
• Google Cloud
• Лидерство
• LLM
• Room / Realm / CoreData

О компании и продукте

• MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
• With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
• Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
• To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. 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. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!

Задачи

• AI market narrative: own the strategic case for MongoDB as the default data platform for agentic applications and AI-mediated technology selection broadly
• 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
• Sit close enough to the product roadmap to inform it, not just react to it
• 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, tying acquisition strategy directly to what’s shippable on the roadmap, not just what’s marketable
• Set the AI-specific plays and priorities for regional marketing teams
• You define the brief
• They execute

Требования

• 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've influenced a product roadmap from a marketing seat and can point to a specific acquisition or adoption outcome that resulted
• This isn't a nice-to-have
• it's core to the role
• 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

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