Regional Lakebase Sales Director

Regional Lakebase Sales Director

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Slide to start your application
Start application
D

At a Glance

  • Tasks: Lead a team to grow the Databricks Lakebase business and modernise legacy databases.
  • Company: Join Databricks Inc., a leader in enterprise software with a focus on innovation.
  • Benefits: Enjoy a competitive salary, diverse work culture, and inclusive environment.
  • Other info: Collaborative atmosphere with opportunities for professional growth.
  • Why this job: Make an impact by operationalising AI and driving sales success.
  • Qualifications: Proven experience in enterprise software sales and strong leadership skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Databricks Inc. is seeking a highly strategic Director, Lakebase Sales Specialists to lead a regional team focused on growing the Databricks Lakebase business. This role involves managing a team and collaborating closely with various stakeholders to modernize legacy databases and operationalize AI.

The ideal candidate will have a strong background in enterprise software sales, exhibit leadership qualities, and demonstrate a proven track record in achieving sales targets. The role offers a range of benefits and promotes a diverse and inclusive work culture.

Regional Lakebase Sales Director employer: Databricks Inc.

Gravitas is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data architecture. Located in a vibrant tech hub, we offer competitive benefits, continuous professional development opportunities, and the chance to work with cutting-edge technologies like Databricks. Join us to make a meaningful impact while advancing your career in a supportive environment.

D

Contact Details:

Databricks Inc. Recruitment Team

We think you need these skills to ace Regional Lakebase Sales Director

Problem-Solving Skills
Communication Skills
SQL
Python
Attention to Detail
Data Engineering
Data Pipeline Development