Synced from Greenhouse · Oct 7

Customer Marketing Manager, Americas

DatabricksSan Francisco, CaliforniaPosted Oct 7, 2026
Content Marketing ManagerMid
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$137k–$188k
Compensation
895
Other open Databricks roles
Oct 7
Posted
Greenhouse
Applicant system
Job descriptionReq 8860643002

MKTQ427R54

Location: San Francisco Bay Area

Databricks is looking for a Customer Marketing Manager to turn the experiences of our largest strategic customers into compelling stories and advocacy programs that advance Databricks’ business priorities. This role owns customer marketing programs from strategy through execution, delivering trusted customer experiences and measurable impact across content, events, and advocacy.

The impact you will have:

  • Create stories tied to key priorities. Identify and develop customer stories that support Databricks priorities, translating technical use cases into compelling narratives with clear business outcomes. Increase the influence of customer stories demonstrated through usage across events, campaigns, and field programs 
  • Build with strategic customers. Build relationships with customers and account teams to uncover opportunities for case studies, videos, speaking engagements, and other advocacy activities with our most strategic customers in the Americas. Expand strategic customer advocacy in the Americas, resulting in a stronger and more consistent pipeline of approved case studies, videos, speaking engagements, and other advocacy assets.
  • Deliver a great customer experience. Improve the customer participation experience, reflected in strong completion rates, positive feedback, and repeat engagement from participating customers.
  • Own programs end-to-end. Deliver programs on schedule, within approved resources, and with clear stakeholder and customer approval milestones from strategy through launch.
  • Bring customer stories to life at key events. Increase the reach and effectiveness of customer storytelling at key events through activations that drive attendee engagement and reinforce Databricks’ business priorities.
  • Build and automate with AI. Improve the speed, quality, and scale of story development by deploying AI-powered tools and workflows that reduce manual effort and surface actionable customer insights.
  • Build repeatable processes. Enable customer marketing to scale through repeatable templates, processes, and workflows that improve consistency, efficiency, and cross-functional alignment.
  • Track metrics and impact. Improve program decision-making and performance by connecting customer advocacy activity to content usage, GEO optimization, event engagement, and other agreed business measures, then using those insights to improve results.

What we look for:

  • 4–7 years of experience in customer marketing, customer advocacy, content marketing, or a closely related function supporting enterprise customers.
  • Demonstrated success independently managing customer marketing or advocacy programs from strategy through execution and delivering measurable results.
  • Excellent writing, editing, and interviewing skills, with the ability to translate complex technical use cases into compelling business-value narratives.
  • Experience building trusted relationships with large enterprise customers and navigating multiple accounts, legal, communications, and executive stakeholders.
  • A customer-first approach demonstrated through clear communication, thoughtful preparation, and the ability to create a positive, low-friction participation experience.
  • Strong program management, prioritization, and judgment skills, including the ability to manage timelines, resources, approvals, and competing priorities.
  • Practical experience building or automating AI-enabled tools and workflows that improve efficiency, quality, or insight generation.
  • Ability to influence cross-functional partners and work effectively with key stakeholders across industry marketing, product marketing, field marketing, account teams, and other partner organizations; set clear expectations, communicate program performance, and push back thoughtfully when needed.

 

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 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 anticipates 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
$136,600—$187,750 USD

About Databricks

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, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Customer Marketing Manager, Americas
Databricks · San Francisco, California
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