Jobs and Careers

Principal Product Marketing Manager, AI Governance

San Francisco, United Statesfull_timeVerifiedPosted 20 Jul 2026

💰 $266,100/yr($193,500/yr – $266,100/yr)

About the role

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While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.

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-quality AI agents and applications with enterprise-grade governance, security, and observability.

In this role, you will own product marketing for Databricks AI Governance portfolio, including Unity AI Gateway. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive trusted AI adoption, enable sales and partners, generate pipeline for AI products, and drive developer adoption of AI. Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives around AI governance (e.g., access control, monitoring, policy enforcement), compelling customer content, targeted campaigns, and impactful product launches.

The impact you will have:

Own the marketing strategy and planning for AI governance products
Build and land collateral for key channels across sales, partner, and demand generation, including content campaigns and events that highlight AI governance, compliance, and observability capabilities
Create an always-on go-to-market plan and pilot new programs with a strong focus on winning AI governance mindshare, driving pipeline, and adoption of governed AI usage
Build a strong and collaborative partnership with product and engineering teams to launch new products
Increase global reach by working with field marketing, industry, events, and partner organizations to help scale the business globally
Build trust with customers and share their agentic AI customer stories, emphasizing governance, risk mitigation, and production readiness

What we look for:

8+ years of technical product marketing experience in an enterprise software company
Experience with AI/ machine learning technologies
Strong understanding of AI, security, and governance decision makers and builders (developers, ML engineers, platform teams), and experience building content around governed AI platforms and policy-driven controls
Portfolio of impactful marketing content, sales enablement materials and always-on GTM Experience presenting at conferences and customer engagements, including topics related to AI governance, risk, and enterprise adoption
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

$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