Enterprise Sales Director: Energy & Utilities AI SaaS in London

Enterprise Sales Director: Energy & Utilities AI SaaS in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Databricks Inc.

At a Glance

  • Tasks: Lead a passionate sales team to drive revenue growth in the Energy & Utilities sector.
  • Company: Join Databricks Inc., a leader in AI and data solutions.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Why this job: Make a real impact in a fast-paced industry while inspiring your team.
  • Qualifications: Experience in Data, AI, Cloud, or SaaS with strong sales skills.

The predicted salary is between 80000 - 100000 Β£ per year.

Databricks Inc. is looking for a high-growth enterprise sales leader to manage their Telco & Utilities senior sales team in London. You will lead a team of passionate account executives who are building a data ecosystem and have a strong desire to drive value for customers. Your role includes developing revenue growth plans, achieving sales quotas, and inspiring a culture of teamwork. The ideal candidate has experience in Data, AI, Cloud, or SaaS and a strong understanding of sales methodologies.

Enterprise Sales Director: Energy & Utilities AI SaaS in London employer: Databricks Inc.

At Databricks Inc., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our team in London. Our commitment to employee growth is evident through comprehensive training programmes and opportunities for advancement within the rapidly evolving fields of Data, AI, and Cloud technologies. Join us to be part of a passionate team dedicated to driving value for our customers while enjoying the benefits of a supportive and inclusive workplace.

Databricks Inc.

Contact Details:

Databricks Inc. Recruitment Team

We think you need these skills to ace Enterprise Sales Director: Energy & Utilities AI SaaS in London

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