Remote EMEA AI Forward-Deployed Engineering Lead

Databricks

Amsterdam

On-site

EUR 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits
Diversity and inclusion commitment

Job summary

Databricks is seeking a leader for its EMEA AI Forward Deployed Engineering team in Amsterdam. This remote role involves guiding customers on AI/ML transformations and leading a team of data scientists and engineers. Responsibilities include scaling the team, enhancing customer relationships, and shaping strategic cross-functional collaboration.

The ideal candidate will have extensive experience in building teams, technical delivery in enterprise environments, and strong leadership skills. A graduate degree in a quantitative discipline is required.

Qualifications

  • Proven track record of scaling organizations through developing scalable processes.
  • Ability to scope and manage technical engagements in enterprise environments.
  • Experience leading teams in cloud environments such as AWS, Azure, or GCP.

Responsibilities

  • Lead and scale a world-class AI/ML professional services team.
  • Develop executive relationships with EMEA customers.
  • Align with engineering and sales leaders for strategic account strategies.
  • Shape collaboration by influencing product and strategy.

Skills

Managing and hiring data scientists
Technical guidance and selling engagements
Deep technical expertise in ML and GenAI
Building production ML solutions in cloud environments
Cross-functional leadership

Education

Graduate degree in a quantitative discipline

Job description

Databricks is seeking a leader for its EMEA AI Forward Deployed Engineering team in Amsterdam. This remote role involves guiding customers on AI/ML transformations and leading a team of data scientists and engineers. Responsibilities include scaling the team, enhancing customer relationships, and shaping strategic cross-functional collaboration.

The ideal candidate will have extensive experience in building teams, technical delivery in enterprise environments, and strong leadership skills. A graduate degree in a quantitative discipline is required.

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