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Home›Jobs›Databricks›Director, Enterprise Sales - Iberia
Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

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Databricks

Director, Enterprise Sales - Iberia

Databricks • Madrid

Posted 2w agoLeadEnterprise sales📍 Madrid
Apply Now →

Overview

Databricks is seeking a Director of Enterprise Sales to lead a team of Account Executives in Madrid. You'll be responsible for achieving sales quotas and driving customer success in the Iberia region. This role requires strong leadership and strategic planning skills.

Job Description

Who you are

You have a proven track record in enterprise sales leadership, with experience managing high-performing sales teams and achieving significant revenue growth. Your ability to inspire and coach account executives is key to your success, as you guide them in developing the skills necessary to excel in their roles. You understand the importance of building strong relationships with customers and are passionate about delivering value through data solutions. You are results-driven and thrive in a fast-paced environment, always looking for ways to improve processes and outcomes.

Desirable

Experience in the big data or AI industry is a plus, as is familiarity with the Iberian market. You are comfortable with sales forecasting and reporting, and you have a strategic mindset that allows you to establish effective territory plans and quotas for your team. Your collaborative approach enables you to partner effectively with cross-functional teams, ensuring a seamless customer experience from sales through to success.

What you'll do

In this role, you will lead a team of Enterprise Account Executives, focusing on achieving overall sales quotas while expanding Databricks' presence in the Iberia region. You will implement strategic sales plans that align with company goals and drive new customer acquisition while nurturing existing accounts to increase consumption. Your responsibilities will include establishing team structures, individual quotas, and investment capacity requirements, ensuring that your team is set up for success. You will also be responsible for accurate revenue forecasting and reporting, providing insights that inform strategic decisions.

You will inspire a culture of teamwork and accountability, leading by example and fostering an environment where your team can thrive. By partnering with cross-functional teams, you will manage the complete revenue and customer success process, ensuring that customer outcomes are met and exceeded. Your leadership will be crucial in building a data ecosystem in Iberia, and you will be expected to go the extra mile to achieve desired results.

What we offer

At Databricks, you will have the opportunity to work in a fast-growing business that is making a significant impact in the EMEA sales organization. You will be part of a highly successful team that is achieving year-on-year growth, and you will have the chance to shape the future of enterprise sales in the region. We offer a competitive compensation package and a supportive work environment that values collaboration and innovation. Join us in solving the world's toughest problems with big data and AI.

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