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

Baan Op afstand
Geplaatst 7 jun. 2026
Delen:
Werkervaring
8 tot 15 jaar
Full-time / part-time
Full-time
Functie
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)

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The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services 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.

Databricks is looking for a world-class leader to lead and grow the EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of the product, recruit and develop top data scientists and machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE. This role can be remote in Europe, with preference for candidates near a major office location such as London, Amsterdam, Paris, or Munich. Candidates should expect to travel at least once a month.

The impact you will have:

  • 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, including VP+, CIO/CDO-level stakeholders, 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 professional services 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

What we look for:

  • 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 stay up to date in this ever-changing field
  • Experience leading teams building cutting-edge production ML solutions in cloud environments such as 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 such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience

Preferred:

  • Experience in a customer-facing consulting or professional services leadership role
  • Experience working with Databricks

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to…


Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.

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