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Enterprise Sales Director, Utilities & Telco

Databricks · London

New
Senior 🇬🇧 English
MEDDPIC

Job description

About the role

Databricks is looking for an Enterprise Sales Director for its Utilities & Telco team in London. You will lead a team of Enterprise Named and Strategic Account Executives, measured by the team's overall quota and by growing Databricks consumption. The team is described as technically knowledgeable and focused on building a data ecosystem for UKI customers. The role reports directly to the RVP, Enterprise.

Key responsibilities

  • Lead a team of account executives, coaching them to develop the skills and behaviours needed to succeed
  • Establish company territory plans, team structure, individual quotas and patches, including investment capacity requirements
  • Report on revenue forecast and strategic GTM programmes
  • Partner with cross-functional teams to manage a complete revenue and customer success process
  • Build trust-based relationships with customers and partners for long-term success
  • Encourage learning and ongoing understanding of technical product details and the product roadmap
  • Establish a revenue growth and investment plan in the first 90 days
  • Deliver strategic growth plans with other function leaders across EMEA, ensuring forecast accuracy and a predictable, high-growth business

Required profile

  • High-growth enterprise software sales leadership experience, leading teams serving Named and Strategic customers in the UKI within Data, AI, Cloud or SaaS
  • Experience in the Telco or Utilities vertical
  • Track record of exceeding sales quotas in similar high-growth technology companies
  • Leadership experience managing sales organisations in Data, AI, Cloud or SaaS
  • Extended executive network with key Telco and Utilities customers

Required skills

  • Sales coaching based on methodology, MEDDPIC and a Challenger approach
  • Value-based sales with business and IT stakeholders, including C-suite
  • Knowledge of the partner ecosystem and experience with consumption and commitment-based revenue models

Questions fréquentes

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Source : ats:greenhouse

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Published 1 day ago

Expires 1 month from now

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Databricks

London