About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe.
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 low and high performance areas and drivers.
- 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.
- Oversee development of the highest-leverage marketing workflows for agent execution, targeting a step-change improvement in time-to-market.
- Align marketing investment strategy against the company's strategic bets, ensuring clarity on spend and capacity toward the highest-impact products and programs.
- Drive marketing target setting in partnership with Marketing, Finance and Sales Strategy.
- Drive agent adoption across the global marketing organization and establish org-wide standards for prompts, context, and agent workflows.
- Establish AI governance and adoption guardrails for agent-based marketing.
- Build and develop a high-performing team from the ground up.
Requirements
- Deep experience in marketing strategy, marketing planning, marketing operations, or GTM/revenue operations in a B2B environment within SaaS or enterprise technology.
- Demonstrated experience redesigning workflows around AI, including hands-on work building agent workflows, writing and iterating prompts, and structuring context.
- Track record of driving sustained behavior change across a large, matrixed organization.
- 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.
- Familiarity with the enterprise marketing stack including marketing automation, CRM, CDP, orchestration, and BI, and with modern agent frameworks and MCP-based integrations.