Strategic AI Delivery Leader — Enterprise Transformations

Databricks

California (MO)

Hybrid

USD 233,000 - 320,000

Full time

24 hours ago
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Job summary

Databricks is seeking a world-class leader to grow the AI Forward Deployed Engineering team. You will recruit and develop top data scientists and ML engineers, manage a portfolio of strategic accounts, and travel as needed.

You will shape product direction with cross-functional teams and foster executive relationships to drive AI transformations. You will work with Product, R&D, and GTM to align delivery with business outcomes, own OKRs for key accounts, and represent Databricks as a thought

Qualifications

  • Proven experience leading AI/ML teams and hiring senior staff.
  • Ability to scope, sell, and deliver technical engagements at enterprise scale.
  • Strong technical depth in AI/ML foundations and cloud deployments.

Responsibilities

  • Lead and scale a high-performing AI FDE team.
  • Shape cross-functional collaboration to influence product roadmaps and GTM.
  • Develop executive relationships with key customers and partners.
  • Partner with Field Engineering and Sales to set strategy for strategic accounts.
  • Own OKRs for AI-services led accounts, revenue, and references.
  • Represent Databricks as an AI thought leader at events and in publications.

Skills

Leadership
AI/ML depth
Enterprise engagements
Executive stakeholder management
Strategic planning
Cross-functional collaboration
Public speaking

Education

Graduate degree in quantitative field (CS/Engineering/Statistics)

Tools

AWS
Azure
GCP
Databricks platform

Job description

Databricks is seeking a world-class leader to grow the AI Forward Deployed Engineering team. You will recruit and develop top data scientists and ML engineers, manage a portfolio of strategic accounts, and travel as needed.

You will shape product direction with cross-functional teams and foster executive relationships to drive AI transformations. You will work with Product, R&D, and GTM to align delivery with business outcomes, own OKRs for key accounts, and represent Databricks as a thought

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