Senior Manager, AI Forward Deployed Engineering – London

Overview

In this role you will lead Databricks’ UK Forward Deployed AI Engineering team to help customers transform with AI/ML at scale. You’ll grow the professional services team, cultivate executive relationships with EMEA clients, and collaborate across Product, R&D, and GTM to inform strategy and deliver repeatable, impactful AI solutions. You will shape delivery models, drive strategic initiatives, and act as a trusted advisor to senior stakeholders, enabling successful AI transformations.

Responsibilities

• Build and scale a high-performing AI/ML services team in the UK
• Develop and expand executive relationships with EMEA customers and partners (VP+, CIO/CDO)
• Coordinate with Field Engineering and Sales to align strategies for strategic accounts and ensure delivery coordination
• Lead AI PS initiatives, shape practice development, and create scalable engagement models
• Foster cross-functional collaboration to feed customer voice into product roadmap and GTM
• Own OKRs for AI-services led accounts, revenue, utilization, and public references
• Represent Databricks as a thought leader in AI/ML

Key requirements

• Extensive experience in managing, hiring, and growing data science/ML engineering teams with a track record of scaling organizations
• Ability to scope, guide, and sell technical engagements and manage escalations in enterprise environments
• Deep technical expertise in ML, GenAI, and data science, with ongoing curiosity to stay current
• Experience leading teams deploying production ML solutions in cloud environments (AWS, Azure, GCP)
• Proven ability to define programs with senior executives and build trust in complex enterprise engagements
• Cross-functional leadership experience with Sales, Product, and GTM to drive business impact
• “Company-first” mindset
• Graduate degree in a quantitative discipline or equivalent practical experience

• Leadership and people development
• Strategic stakeholder management
• Effective communication with C-level sponsors
• ML / GenAI expertise
• Data science
• Production ML in cloud environments (AWS, Azure, GCP)

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