About the role
MKTQ227R30
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.
As Director of Product Marketing for Databricks AI, you will lead the 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 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, compelling customer content, targeted campaigns, and impactful product launches.
The impact you will have:
- Own the marketing strategy and planning for Databricks AI products
- Build and land collaterals for key channels across sales, partner, and demand generation, including content campaigns and events
- Create 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
- 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
What we look for:
- 10+ years of technical product marketing experience in an enterprise software company
- Experience with AI/ machine learning technologies
- Strong understanding of AI decision makers and builders (developers, ML 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.
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.
Aplyr's read
Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.
What's promising
- •Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
- •The company is a leader in big data and AI, driving significant industry advancements.
- •Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.
What to watch
- •High competition in cloud data analytics could impact market share.
- •Rapid scaling may strain internal resources and affect company culture.
- •Dependence on cloud infrastructure partners presents potential operational risks.
Why Databricks
- •Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
- •Focus on AI efficiency and optimization differentiates its research initiatives.
- •Collaborative workspace design fosters innovation across diverse data teams.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Databricks
Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.
