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

REQ ID: CSQ427R198

Location: Munich Germany - Remote location for candidates to be based in the Germany region only (not remote from any other country)

The Forward Deployed AI Engineering (AI FDE) team is a highly specialised 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 with AI/ML Product Research and Engineering to shape long-term strategic priorities and initiatives.

We are looking for a world-class leader to lead and grow our EMEA AI FDE this role you will lead customers on their AI/ML transformation with Databricks push the boundaries of our product recruit and develop top data scientists/machine learning engineers and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE.

• 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 PS initiatives practice development and standardised 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 GTMensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy
• Own OKRs for AI-services led accounts revenue utilisation and public references
• Represent Databricks as a thought leader in AI/ML

• Extensive experience managing hiring and building a team of high-performing data scientists/ML engineers and leaders with a track record of scaling organisations 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 in developing a 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
  
  

Preferred:

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