Databricks

Director, Marketing Strategy and AI Transformation

Leads marketing planning, investment decisions, and the shift toward agent-run execution across a global marketing organization while building a new team from scratch.

The role

This leader sets how the global marketing group plans its budget and allocates investment, and redesigns its daily workflows around AI agents. The role reports into the senior leader over marketing technology, data, and growth, and works across marketing leadership, finance, sales strategy, and central platform teams. It is a newly created function, so the holder will assemble the team and the operating model together.

What you would do

  • Run the full yearly marketing planning cycle and establish one authoritative planning system that makes tradeoffs explicit
  • Review leading signals and business results to pinpoint strong and weak areas and the factors behind them
  • Find proven practices and spread them to lift growth across regional and global business units
  • Construct a capacity model covering staff, agency partners, and agent-run output so commitments respect real limits
  • Direct work on the most valuable marketing processes to be handed to agents, aiming for much faster delivery
  • Connect investment decisions to company strategic priorities, tracking spend, capacity, and pipeline efficiency
  • Lead goal-setting with marketing, finance, and sales strategy using a transparent method that can adjust quickly
  • Spread agent usage throughout global marketing and define shared standards for prompts, context, and workflows, measured by faster delivery
  • Create governance and guardrails for agent use covering quality, risk, privacy, and responsible practices
  • Hire and grow a strong team from zero while modeling and reinforcing company culture

What they asked for

  • Substantial background in marketing strategy, planning, operations, or revenue operations within B2B SaaS or enterprise tech, including owning a large annual planning or budget cycle
  • Proven history of building AI-enabled workflows yourself, such as creating agents, drafting and refining prompts, and organizing context
  • Record of producing lasting change in habits across a large matrixed company, with adoption that continued after launch
  • Working knowledge of how all marketing functions run together: demand gen, campaign ops, content, events, brand, and analytics
  • Solid grasp of full-funnel measurement and linking spend to pipeline and revenue, especially in usage-based models
  • Hands-on familiarity with enterprise martech including automation, CRM, CDP, orchestration, BI, plus agent frameworks and MCP integrations

Nice to have

  • Experience in consumption or usage-priced business models
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