Director, Americas Field Marketing Programs
DatabricksUnited StatesPosted 7 April 2026
Job Description
MKTQ227R11
The Director, Americas Field Marketing Programs, will define and lead a scalable field marketing engine that unifies program strategy and execution across the Americas. Reporting to the VP of Americas Marketing, this role will transform fragmented field marketing activities into a strategic, repeatable motion that drives pipeline growth, deepens practitioner and executive engagement, and positions Databricks as a trusted partner across target accounts.
The impact you will have:
Own the pan-Americas program strategy across Practitioners, Executives, Greenfield, Cross-Sell, and Funnel Optimization to create a unified field marketing framework
Eliminate the fragmented approach to Executive and Practitioner planning across the Americas by owning the full strategic planning process
Stand up and manage the agency model to centralize program execution and free FMMs to focus on strategic business-unit alignment and targeted account marketing
Establish consistent program execution standards and governance across all Americas business units, serving as the central filter for corporate marketing requests
Introduce new program models that expand greenfield reach, improve funnel conversion, and drive measurable pipeline growth
Increase the Field Marketing Manager's strategic capacity by 40% through centralized execution, playbooks, and scalable systems
Deliver measurable pipeline impact across key segments with clear attribution to centralized programs and improve program ROI by 25% through vendor and process optimization
Lead, mentor, and develop a high-performing field programs team, focusing on talent growth, empowerment, and career development.
What we look for:
10-15 years in B2B technology marketing with significant experience running large-scale field or programmatic marketing across regions, ideally in data, analytics, or cloud infrastructure
Proven track record transforming distributed, fragmented efforts into centralized, scalable growth engines
Budget ownership experience ($10M+) with a focus on ROI and optimization
5+ years building and leading field programs teams with direct accountability for pipeline and operational efficiency
Experience leading organizational change from distributed to centralized operating models in hyper-growth environments
Strong executive presence with the ability to influence senior leadership and cross-functional stakeholders to create unified plans
Proficiency with marketing automation platforms, CRM systems, and program management tools to enable scaled execution
Program Innovation: Demonstrated ability to create new program types and engagement models that drive measurable business outcomes
Data-Driven Approach: Experience using analytics and measurement frameworks to optimize program performance and demonstrate ROI
Technology Integration: Proficiency with marketing automation platforms, CRM systems, and program management tools to enable scaled execution
Pay Range Transparency
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 .
Zone 1 Pay Range
$223,400
$307,100 USD
Zone 2 Pay Range
$180,500
$252,725 USD
Zone 3 Pay Range
$189,800
$261,050 USD
Zone 4 Pay Range
$178,700
$245,750 USD
About Databricks
Databricks is the data and ... (truncated, view full listing at source)
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