Synced from Greenhouse · Jul 1

Product Marketing Director

DatabricksSan Francisco, CaliforniaPosted Jul 1, 2026
Product Marketing ManagerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$240k–$330k
Compensation
887
Other open Databricks roles
Jul 1
Posted
Greenhouse
Applicant system
Job descriptionReq 8487145002

MKTQ227R30

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations on the West Coast.

Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build-high and use quality AI agents and applications. 

As Director of Product Marketing for Databricks AI, you will lead and develop a high-performing team while overseeing the end-to-end marketing strategy across Agent Bricks, our enterprise agent platform, and core machine learning products. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive AI adoption, enable sales and partners, generate pipeline and drive developer adoption of AI. Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives, compelling customer content, targeted campaigns, and impactful product launches.

The impact you will have:

  • Own the marketing strategy and planning, ensuring alignment across teams and consistent execution
  • Lead, mentor, and scale a team of product marketers, fostering a culture of accountability, creativity, and continuous development
  • Build and land collaterals for key channels across sales, partner, and demand generation, including content campaigns and events
  • Establish and operationalize an always-on go-to-market plan and pilot new programs with a strong focus on winning AI mindshare, driving pipeline, and product adoption 
  • Build a strong and collaborative partnership with product and engineering teams to launch new products
  • Build trust with customers and amplify their agentic AI success stories

What we look for:

  • 10+ years of technical product marketing experience in an enterprise software company including experience leading and developing teams
  • Experience with AI/ML technologies
  • Strong understanding of AI decision makers and builders (developers, AI engineers), and experience in building relevant content for them
  • Portfolio of impactful marketing content, sales enablement materials and always-on GTM with proven results across the marketing funnel
  • Experience presenting at conferences and customer engagements
  • Preferred BS in Computer Science or Engineering, coupled with MBA

 

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
$240,100—$330,100 USD
Zone 2 Pay Range
$216,100—$297,100 USD
Zone 3 Pay Range
$204,100—$280,600 USD
Zone 4 Pay Range
$192,100—$264,100 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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Product Marketing Director
Databricks · San Francisco, California
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