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Principal Product Marketing Manager, AI

Databricks San Francisco, California Full-time Marketing Posted Jul 21, 2026
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Culture signals in this specific role

Inferred from the employer’s wording in this job description. These role-level signals are separate from the company-wide employee-review scores below.

OwnershipThe description emphasizes ownership or end-to-end responsibility.
Cross-functionalThe role explicitly involves collaboration across teams or functions.
Remote or flexibleThe listing mentions remote, distributed, flexible, or hybrid work.

What it’s like to work at Databricks

Data & AI Platform · San Francisco

4.1
Employee Rating
3.9
Work-Life Balance
783
Open Roles
eng-drivenlearningequitydiverseproduct-impact

What employees love

  • Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
  • Strong compensation and equity packages consistently above market

What could be better

  • Hypergrowth means org changes are constant — teams restructure frequently
  • Some legacy Spark-era tech debt that can slow down new features
View full Databricks culture profile →

About the Role

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

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 and use high-quality AI agents and applications that drive real business outcomes.

In this role, you will own product marketing for Genie, the data-smart AI coworker for business teams. Reporting directly to the Senior Director of Product Marketing, you will lead messaging and content development for cross-channel marketing strategies targeting business and technical buyers as well as business users, with a strong focus on business value, usability, and adoption. You will partner closely with product, sales, partner, and marketing teams to increase awareness, support new launches, and drive adoption of Genie.

Ideal candidates will have a proven record in product marketing and experience working on technical products. You have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at enterprise business users and decision makers (e.g., operations, finance, marketing), and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans.

The impact you will have:

What we look for:

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
$193,500$266,100 USD
Zone 2 Pay Range
$174,200$239,450 USD
Zone 3 Pay Range
$164,500$226,150 USD
Zone 4 Pay Range
$154,800$212,850 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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Frequently Asked Questions

What is the work-life balance like at Databricks?
Databricks has a work-life balance score of 3.9/5 based on employee reviews. This is about average for the AI/tech industry.
What is Databricks’s culture like?
Databricks is characterized by these culture values: eng-driven, learning, equity, diverse, product-impact. Based on employee reviews, the company has an overall rating of 4.1/5. Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
How many open roles does Databricks have?
Databricks currently has 783 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in San Francisco, California. Check the job description above for specific location and remote work details.
Apply for this role at Databricks →