AI Forward-Deployed Engineering Leader

Cacheflow

California (MO)

Hybrid

USD 233,000 - 320,000

Full time

6 days ago
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Job summary

Databricks is seeking a Sr. Manager to lead the AI Forward Deployed Engineering team, guiding enterprise AI transformations and shaping delivery across customers.

You will recruit and develop top AI/ML talent, collaborate with Product, R&D, and GTM, and own OKRs for strategic accounts across diverse industries.

Candidates should expect travel monthly; location flexibility is supported while prioritizing strong customer outcomes.

Qualifications

  • Experience leading teams of AI/ML scientists and engineers.
  • Ability to scope, sell, and deliver technical engagements in enterprise environments.
  • Strong depth in AI/ML foundations with architectural review capability.
  • Proven track record shipping production AI solutions on cloud platforms (AWS/Azure/GCP).

Responsibilities

  • Lead and scale a high-performing AI Forward Deployed Engineering team.
  • Influence product roadmaps and GTM strategy with voice-of-customer insights.
  • Develop executive relationships with key customers and partners at VP+ level.
  • Partner with Field Engineering and Sales to coordinate delivery across functions.
  • Lead strategic AI initiatives, practice development, and scalable delivery processes.
  • Own OKRs for AI-services led accounts, revenue, and references.
  • Represent Databricks as a thought leader through talks and content.

Skills

AI/ML leadership
Executive communication
Enterprise engagements
Cloud platforms

Education

Graduate degree in quantitative field

Tools

Databricks

Job description

Databricks is seeking a Sr. Manager to lead the AI Forward Deployed Engineering team, guiding enterprise AI transformations and shaping delivery across customers.

You will recruit and develop top AI/ML talent, collaborate with Product, R&D, and GTM, and own OKRs for strategic accounts across diverse industries.

Candidates should expect travel monthly; location flexibility is supported while prioritizing strong customer outcomes.

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