Databricks: Director, Marketing Strategy and AI Transformation — United States

Databricks lists a Director, Marketing Strategy and AI Transformation opening in United States. The job description covers Excel, AI, compliance, investment, sales, marketing, training.

Recruitment overview

OrganisationDatabricks
Post / roleDirector, Marketing Strategy and AI Transformation
DepartmentMarketing
Employment typeNot specified
Notification / job ID8735590002
Job locationUnited States
Work arrangementNot specified
Educational qualificationSee the employer’s role-specific qualification criteria
Experience requiredNo numeric experience requirement extracted; read the employer notice
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Director, Marketing Strategy and AI Transformation in United States, under reference 8735590002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Marketing
  • Employer listing date: 28 August 2026

Responsibilities and work described

  • 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
  • Building: 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
  • Establishment: 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
  • Building: and develop a high-performing team from the ground up, and model and reinforce Databricks' culture principles

Essential requirements and candidate background

  • 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
  • Understanding: full-funnel marketing measurement and how marketing investment connects to pipeline and revenue, ideally in a consumption or usage-based business model
  • Familiarity: the enterprise marketing stack including marketing automation, CRM, CDP, orchestration, and BI, and with modern agent frameworks and MCP-based integrations
  • Pay Range Transparency
  • Zone 1 Pay Range
  • $221,800 — $305,050 USD
  • Zone 2 Pay Range
  • $199,700 — $274,550 USD
  • Zone 3 Pay Range
  • $188,600 — $259,250 USD
  • Zone 4 Pay Range
  • $177,400 — $244,000 USD

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

  • Databricks is committed to fair and equitable compensation practices
  • The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles
  • Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location
  • Based on the factors above, Databricks anticipated utilizing the full width of the range
  • The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above
  • For more information regarding which range your location is in visit our page here
  • Advertised location: United States

Benefits mentioned by the employer

  • At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
  • For specific details on the benefits offered in your region click here

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Director, Marketing Strategy and AI Transformation vacancy is not an offer for reference 8735590002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8735590002.

Compare your qualifications and experience with the essential conditions for the United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Excel

Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.

Relevant skills

  • MCP
  • AI/ML
  • Excel
  • AI
  • compliance
  • investment
  • sales
  • marketing
  • training
  • partnership development

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

For corrections, see our editorial policy and contact information.