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RVP, Retail

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: WinsAbove
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Req : SLSQ
327R407

Title: RVP, Retail

Location: United States

Mission

We are looking for a strategic Regional Vice President to lead our Retail team in North America. You will lead an agile team of Directors and their Enterprise Account Executives, measured by achieving overall team quota, new logo acquisition, and expanding Databricks adoption across the most strategic retail customers in North America. This team is passionate about building a modern data and AI ecosystem across the industry and helping customers and partners succeed.

You will report to the Vice President of Retail in North America.

What you will do
  • Build and lead a team of talented Directors and Enterprise Account Executives to drive growth across strategic and emerging markets within the Retail industry.
  • Inspire a culture of teamwork, customer value, and measurable business outcomes.
  • Develop trusted relationships with customers and partners to support long-term growth and success across North America.
  • Foster continuous learning and a strong understanding of Databricks’ technical capabilities and future product roadmap.
  • Lead North American Enterprise growth planning while ensuring forecast accuracy and a predictable, high-growth business.
  • Scale and accelerate sales through data consumption models and AI-driven business transformation initiatives.
  • Help customers drive innovation, operational efficiency, and revenue growth by leveraging the Databricks Data Intelligence Platform.
What we look for
  • You have the desire to build a collaborative, inspired team culture
  • You live our core values: customer obsession, teamwork makes the dream work, own it, and let the data decide!
  • Experience building a high-growth sales team serving enterprise customers within North America within the big data, Cloud, or SaaS Sales Industry
  • History of exceeding sales quotas in similar high-growth Enterprise software companies.
  • Understanding of value selling and structured methodologies e.g. MEDDPICC, Challenger, Command of Message.
  • Knowledge of developing the partner ecosystem to help grow strategic enterprise territories.
  • Success implementing strategies for usage and booking-based sales revenue 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.

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 .

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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