Sr. Manager, AI Forward Deployed Engineering (AI-FDE)
Databricks · London, United Kingdom · Professional Services Operations · listed September 1, 2026
The shape of it
Seniority
Manager
Where
Remote
Requirements listed
8
Length
701 words
In the posting’s own words
We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In 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.
What it asks for · 8
- 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
Also a plus
- Experience in a customer-facing consulting or professional services leadership role
- Experience working with Databricks
What the job covers
- 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 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, utilisation, and public references
- Represent Databricks as a thought leader in AI/ML
Degree language
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
Tools and skills named
Models & research
- Machine learning9×
Data
- Databricks4×
- Statistics
Cloud & infra
- AWS
- Azure
- GCP
Go to market
- Go-to-market3×
Ways of working
- Cross-functional2×
- Mentorship
Product & design
- Roadmap
Words the posting leans on
- experience6×
- ai/ml5×
- engagements5×
- leaders5×
- product5×
- delivery4×
- emea4×
- engineering4×
- lead4×
- technical4×
- accounts3×
- building3×
- customers3×
- data3×
- gtm3×
- professional services3×
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