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Sr. Manager, AI Forward Deployed Engineering (AI-FDE)
Databricks
AI/ML & DataMunich, Germany
2 weeks ago
💻 Open SourceHeavy focus on GenAI and production AI/ML deployments for customers; not explicitly about vibe coding or developer tooling like Cursor.
About the Role
Lead and grow Databricks' EMEA Forward Deployed AI Engineering team, delivering customer-facing GenAI and ML professional services, scaling the practice, and managing strategic enterprise accounts to productionize AI solutions.
Job Description
Role
Senior Manager, AI Forward Deployed Engineering (AI-FDE) leading the EMEA AI FDE team. You will lead customer AI/ML transformations, manage a portfolio of strategic EMEA accounts, recruit and develop data scientists and ML engineers, and influence product and GTM strategy through customer insights.
Key Responsibilities
- Lead, hire, mentor, and scale a customer-facing AI/ML professional services team across EMEA.
- Manage strategic relationships with executive stakeholders (VP+, CIO/CDO) and act as a trusted advisor during complex technical engagements.
- Align with Field Engineering and Sales to define joint strategies and ensure coordinated, high-quality delivery across functions.
- Define and lead strategic AI professional services initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions.
- Drive cross-functional collaboration with Product, R&D, and GTM to surface voice-of-customer insights that inform roadmap and go-to-market strategy.
- Own OKRs for AI-services accounts, revenue, utilization, and public references.
- Represent Databricks as a thought leader in AI/ML.
Requirements
- Extensive experience managing and scaling teams of data scientists, ML engineers, and leaders, with a track record building scalable processes and developing leaders.
- Ability to scope, guide, and commercially enable technical engagements, manage escalations, and ensure successful enterprise delivery.
- Deep technical expertise in machine learning, GenAI, and data science, with a commitment to staying current in the field.
- Experience leading teams that build production ML solutions in cloud environments (AWS, Azure, or GCP).
- Proven success in developing strategy with senior executive stakeholders and aligning technical vision in complex enterprise engagements.
- Demonstrated cross-functional leadership working with Sales, Product, and GTM teams.
- Graduate degree in a quantitative discipline or equivalent practical experience.
Preferred
- Experience in customer-facing consulting or professional services leadership.
- Experience working with Databricks.
Location & Work Authorization
- Role is based in Munich, Germany. Candidates must be based in the Germany region only (not remote from any other country).