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Databricks

Builds cloud software for data analysis and AI

Director Marketing Strategy and AI Transformation

Marketing Generalist & ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Deep experience in marketing strategy, marketing planning, marketing operations, or go-to-market/revenue operations in a business-to-business environment within software-as-a-service or enterprise technology, including ownership of an annual planning or investment allocation cycle at scale.
  • Demonstrated experience redesigning workflows around artificial intelligence, including hands-on work building agent workflows, writing and iterating prompts, and structuring context.
  • A track record of driving sustained behavior change across a large, matrixed organization, with evidence that adoption persisted beyond the initial rollout.
  • Expertise in how a marketing organization operates end to end across demand generation, campaign operations, content production, field and events, brand, and analytics.
  • Strong understanding of full-funnel marketing measurement and how marketing investment connects to pipeline and revenue, ideally in a consumption- or usage-based business model.
  • Familiarity with the enterprise marketing stack, including marketing automation, customer relationship management, customer data platforms, orchestration, and business intelligence, and with modern agent frameworks and Model Context Protocol-based integrations.

Responsibilities

  • Own the end-to-end annual marketing planning process, establishing a single planning system of record with explicit trade-offs.
  • Evaluate leading indicators and business outcomes to understand areas and drivers of low and high performance.
  • Identify and scale best practices to drive incremental growth across global business units.
  • Build and maintain the marketing capacity model spanning people, agencies, and agent-based execution, so commitments are made against known capacity constraints.
  • Oversee development of the highest-leverage marketing workflows for agent execution, targeting a step-change improvement in time-to-market.
  • Align marketing investment strategy with the company's strategic bets, ensuring clarity on spend and capacity toward the highest-impact products and programs, and improving pipeline efficiency.
  • Drive marketing target setting in partnership with Marketing, Finance, and Sales Strategy, establishing a transparent methodology that can shift agilely with the business.
  • Drive agent adoption across the global marketing organization and establish organization-wide standards for prompts, context, and agent workflows, measured by sustained change in time-to-market.
  • Establish artificial intelligence governance and adoption guardrails for agent-based marketing, setting standards for quality, risk, data privacy, and responsible use so adoption scales safely and consistently.
  • Build and develop a high-performing team from the ground up, and model and reinforce Databricks' culture principles.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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