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Business Development Representative (Arabic-speaking)

Databricks
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Hybrid (Paris, France)full-timePosted 2w ago

About the role

Arabic-speaking Business Development Representative role in Paris, France for Databricks, focusing on the Middle East and African market. Hybrid in Paris office. Early-career sales professional with opportunity to develop in a growth-focused enterprise software company.

Responsibilities

  • Rapidly developing your skill-set around value-based selling, big data and AI.
  • Provide a great customer experience for Databricks’ prospective customers.
  • Conducting account and prospect research to inform and develop compelling outreach campaigns to drive engagement in key target accounts.
  • Maintaining active inbound and outbound communications with prospects using creative follow-up, including personalised email, cold calling and social selling.
  • Partner with the wider sales team to develop territory strategy, build pipeline and drive adoption.
  • Uncover and identify client needs and progress conversations into sales opportunities through communicating how Databricks will meet them effectively.

Qualifications

  • Prior successful sales experience is a plus, but not necessary
  • Determination to succeed, learn and build the next best enterprise software company
  • Consistent, measurable over-achievement in past experiences
  • Great communication skills, especially listening and questioning in phone-based and in-person scenarios
  • A genuine interest in big data/AI
  • Must be fluent in Arabic and English (minimum C1 proficiency in both)

Skills

Required:Sales and prospectingCommunicationArabic and English proficiency

Benefits

  • Benefits details available in regional document linked by Databricks (regional benefits page referenced in description)
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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