MongoDB

1 day ago

VP, AI Marketing Strategy

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Shape and own the strategic AI marketing narrative that positions MongoDB as the default data platform for agentic applications. Drive MongoDB’s visibility across AI-generated responses and developer tool recommendations by setting standards for documentation, technical accuracy, and training-data interpretation. Lead ecosystem integration presence and co-marketing with AI partners, define agentic-builder acquisition plays for regional teams, and measure success via citation, accuracy, partner adoption, and agent-driven pipeline.

Location: Palo Alto, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Sr. Director level

Key Responsibilities

•Own the strategic market narrative for MongoDB as the default data platform for agentic applications and ensure it resonates with builders and holds up to scrutiny.
•Drive how MongoDB appears in AI-generated responses, agent framework recommendations, and developer tool suggestions by setting standards for documentation quality, technical accuracy, and underlying representation.
•Own MongoDB’s presence in builder tools and environments, including the marketing side of integrations and defining partner working ownership.
•Lead co-marketing and ecosystem partnerships across agent frameworks, deployment platforms, and frontier model providers to ensure MongoDB is present when builders reach for a framework.
•Define and prioritize AI-specific plays for regional marketing teams to acquire agentic builders and measure success through citations, accuracy, partner adoption, and agent-driven pipeline.

Pay and Benefits

Salary: USD 145,000 - 285,000 annually

Perks:Equity401kPaid LeaveParental LeaveHealth Insurance

Key Requirements

•Operated at the intersection of AI and marketing at a senior marketing leadership level, with ecosystem understanding built from inside experience.
•Fluent in agentic workflows (e.g., Claude Code, Cursor) and able to model how agents produce content, run programs, and ship quickly.
•Treats content as infrastructure, with experience making deliberate decisions about indexing, surfacing, citations, and what is trained on.
•Technical enough to be credible with engineers and product leaders, understanding how LLMs, retrieval, and tool selection work.
•Shipped measurable outcomes that changed how a technical audience discovered or chose a product.

Experience:AIDeveloper toolsFoundation models

Skills:Cross-functional partnershipStrategyAccountabilityCommunication

Languages:English

Tech Stack:Claude CodeCursorLLMsAI SearchAPI

Company Brief

MongoDB

Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn

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MongoDB

1 day ago

VP, AI Marketing Strategy

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Palo Alto, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Sr. Director level

Key Responsibilities

•Own the strategic market narrative for MongoDB as the default data platform for agentic applications and ensure it resonates with builders and holds up to scrutiny.
•Drive how MongoDB appears in AI-generated responses, agent framework recommendations, and developer tool suggestions by setting standards for documentation quality, technical accuracy, and underlying representation.
•Own MongoDB’s presence in builder tools and environments, including the marketing side of integrations and defining partner working ownership.
•Lead co-marketing and ecosystem partnerships across agent frameworks, deployment platforms, and frontier model providers to ensure MongoDB is present when builders reach for a framework.
•Define and prioritize AI-specific plays for regional marketing teams to acquire agentic builders and measure success through citations, accuracy, partner adoption, and agent-driven pipeline.

Pay and Benefits

Salary: USD 145,000 - 285,000 annually

Perks:Equity401kPaid LeaveParental LeaveHealth Insurance

Key Requirements

•Operated at the intersection of AI and marketing at a senior marketing leadership level, with ecosystem understanding built from inside experience.
•Fluent in agentic workflows (e.g., Claude Code, Cursor) and able to model how agents produce content, run programs, and ship quickly.
•Treats content as infrastructure, with experience making deliberate decisions about indexing, surfacing, citations, and what is trained on.
•Technical enough to be credible with engineers and product leaders, understanding how LLMs, retrieval, and tool selection work.
•Shipped measurable outcomes that changed how a technical audience discovered or chose a product.

Experience:AIDeveloper toolsFoundation models

Skills:Cross-functional partnershipStrategyAccountabilityCommunication

Languages:English

Tech Stack:Claude CodeCursorLLMsAI SearchAPI

Company Brief

MongoDB

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn