RVP, Digital Native Business (DNB)

Job Title: Regional Vice President, Digital Native Business (DNB)

Location: United States

Req: SLSQ127R239

Mission:

We are seeking a strategic and growth-oriented Regional Vice President to lead our Digital Native Business (DNB) Geo team across North America (2nd line leadership). You will oversee a high-performing team of Directors and senior Account Executives responsible for driving new logo acquisition, expanding existing customer relationships, and accelerating Databricks adoption across innovative, cloud-native companies. This team is passionate about empowering digital-first organizations to scale through data, AI, and the Databricks Lakehouse Platform. You will report to the Vice President of the Digital Native Business.

What you will do:

• Build, inspire, and lead a team of high-performing Directors and Enterprise Account Executives focused on driving growth across DNB markets within North America.

• Foster a culture of collaboration, accountability, and customer obsession—anchored in delivering measurable value and exceptional outcomes.

• Develop trusted, long-term partnerships with customers and ecosystem partners to accelerate adoption and success with the Databricks Lakehouse Platform.

• Champion continuous learning and technical excellence, ensuring your team stays ahead of product innovation and the evolving data and AI landscape.

• Drive North American growth plans with precision—ensuring forecast accuracy, operational rigor, and predictable, high-growth business performance.

What we look for:

• A collaborative, mission-driven leader who thrives in building empowered, high-performing teams.

• Alignment with our core values: Customer Obsession, Teamwork Makes the Dream Work, Own It, and Let the Data Decide.

• Technical Aptitude - balancing value selling with technical familiarity

• Proven success leading high-growth enterprise sales teams within the cloud, SaaS, or data and AI industries—ideally serving digital-native customers.

• Consistent track record of exceeding revenue targets in fast-paced, high-scale environments.

• Deep understanding of value-based selling and structured methodologies such as MEDDPICC, Challenger, or Command of the Message.

• Strong experience cultivating partner ecosystems to expand reach and accelerate growth in strategic territories.

• Expertise in scaling usage-based and bookings-driven sales models.

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, please visit https://www.mybenefitsnow.com/databricks.

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.