Director, Marketing Strategy and AI Transformation

Databricks · United States · Marketing · listed August 28, 2026

The shape of it

Seniority
Director
Where
Remote
Stated pay
$221,800 – $305,050 USD
Requirements listed
6
Length
871 words

In the posting’s own words

You will set the planning and investment operating model for marketing while leading the shift from human-executed to agent-executed work across the organization. This highly cross-functional role partners closely with Marketing Leadership and their departments, Finance, Sales Strategy and our central platform and data teams to make investment decisions that are grounded in real capacity and to turn AI capability into standard practice at scale.

What it asks for · 6

  • Deep experience in marketing strategy, marketing planning, marketing operations, or GTM/revenue operations in a B2B environment within SaaS or enterprise technology, including ownership of an annual planning or investment allocation cycle at scale.
  • 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, 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, CRM, CDP, orchestration, and BI, and with modern agent frameworks and MCP-based integrations.

What the job covers

  • 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, so that 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 against 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 which can shift agilely with the business
  • Drive agent adoption across the global marketing organization and establish org-wide standards for prompts, context, and agent workflows, measured by sustained change in time to market.
  • Establish AI governance and adoption guardrails for agent-based marketing, setting standards for quality, risk, data privacy, and responsible use, so that adoption scales safely and consistently.
  • Build and develop a high-performing team from the ground up, and model and reinforce Databricks' culture principles.

Tools and skills named

Go to market
  • Demand generation
  • Go-to-market
  • SaaS
Data
  • Databricks2×
Ways of working
  • Cross-functional

Words the posting leans on

  • marketing22×
  • investment6×
  • planning6×
  • strategy6×
  • agent5×
  • model5×
  • workflows5×
  • adoption4×
  • business4×
  • capacity4×
  • scale4×
  • build3×
  • data3×
  • drive3×
  • establishing3×
  • marketing organization3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 30, 2026 and last changed by Databricks on August 28, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.