Director, Product Marketing, AI
San Francisco, CA$240.1k - $330.1kPosted 2mo ago
About the role
Director of Product Marketing leading a team to drive AI adoption and product marketing for Databricks AI, Agent Bricks, and core ML products; responsible for end-to-end marketing strategy, go-to-market plans, and collaboration with product, sales, and engineering.
Responsibilities
- 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
Qualifications
- 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
Skills
Required:Marketing strategyTeam leadershipContent creationGo-to-marketAI/ML knowledge
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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