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Sr. Manager, AI Forward Deployed Engineering (AI-FDE) – EMEADatabricks · Amsterdam, Netherlands
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Databricks

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Sr. Manager, AI Forward Deployed Engineering (AI-FDE) – EMEA

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🗓️ Posted 2026-07-24 Amsterdam, Netherlands Hybrid ICT
💰 Salary Not shared 📊 Market 12,500 GBP–18,500 GBP/mo

About the Company

The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first of its kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI/ML Product, Research, and Engineering.

Responsibilities

  • ● Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale
  • ● Develop and expand executive relationships with EMEA customers and partners, acting as a trusted advisor during complex technical engagements and AI transformations
  • ● Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions
  • ● Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team
  • ● Shape cross-functional collaboration by influencing Product, R&D, and GTM-ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy
  • ● Own OKRs for AI-services led accounts, revenue, utilization, and public references
  • ● Represent Databricks as a thought leader in AI/ML

Requirements

  • ● Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders
  • ● Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments
  • ● Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field
  • ● Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP)
  • ● Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements
  • ● Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML
  • ● Company-first mindset
  • ● Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience