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Enterprise Account Executive – Data & AI Solutions

Databricks · Stockholm

New
🇬🇧 English
AWS Azure Google Cloud MEDDPICC Value Selling Databricks

Job description

About the role

We are looking for a creative, delivery‑oriented Enterprise Account Executive to join our Nordics team and maximise the market opportunity for Databricks Sweden. You will sell innovation and value to existing customers, identify new use cases, grow consumption and guide deals to compress decision cycles while deepening product knowledge.

Key responsibilities

  • Co‑develop a business plan with team and ecosystem partners to exceed quarterly/annual consumption and booking goals.
  • Lead customers and partners to identify impactful data and AI use cases and prove value on the Databricks Data Intelligence platform.
  • Implement data and AI transformation goals through strategic partnerships, professional services, training, and executive engagement.
  • Develop deep technical product knowledge and roadmap to build trust with executives and technical champions.

Required profile

  • Extensive experience selling complex solutions to enterprise customers and managing federated sales campaigns.
  • Background in data and cloud industries with technical sales experience.
  • Proven track record of exceeding sales quotas in high‑growth enterprise software companies.
  • Experience driving consumption and commit‑based engagement models with professional services and training teams.
  • Co‑selling and scaling business with cloud vendors (AWS, Azure, Google Cloud) and global solution integrators.
  • Ability to build champions, collaborative teams, and partnerships to execute account/territory plans.
  • Familiarity with robust sales methodologies such as MEDDPICC and Value Selling, and accurate forecasting.
  • Bachelor’s degree or equivalent experience; fluency in English required.

Required skills

  • Databricks Data Intelligence platform
  • Cloud platforms: AWS, Azure, Google Cloud
  • Sales methodologies: MEDDPICC, Value Selling

Questions fréquentes

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Source : ats:greenhouse

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Published för 2 timmar sedan

Expires om 1 månad

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Databricks

Stockholm