Director, Product Marketing, AI

Reposted 24 Days Ago
San Francisco, CA, USA
In-Office
240K-330K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
As the Director of Product Marketing for Databricks AI, you will lead the marketing strategy for AI products, collaborate with teams to create effective campaigns and product launches, and increase global outreach through partnerships.
Summary Generated by Built In

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.

Skills Required

  • 10+ years of technical product marketing experience
  • Experience with AI/machine learning technologies
  • Strong understanding of AI decision makers and builders
  • Portfolio of impactful marketing content
  • Experience presenting at conferences and customer engagements
  • Preferred BS in Computer Science or Engineering, coupled with MBA

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
  • Leave & Time Off Breadth Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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