Senior Manager, AI Forward Deployed Engineering

About the role

Databricks' Forward Deployed AI Engineering (AI FDE) team is a specialist, customer-facing AI team delivering professional services to help customers build and productionise first-of-a-kind AI applications, with a focus on GenAI. The company is looking for a world-class leader to lead and grow its UK AI FDE team, reporting directly to the Director AI FDE. Candidates must be based in the United Kingdom.

Key responsibilities

• Lead and scale a world-class AI/ML professional services team, including hiring, mentoring and building a structure for long-term growth
• Develop executive relationships with EMEA customers and partners (VP+, CIO/CDO level) and act as a trusted advisor on complex technical engagements
• Work with Field Engineering and Sales leaders to define joint strategies for strategic accounts and coordinate delivery across functions
• Lead strategic AI PS initiatives, practice development and standardised delivery processes, designing scalable engagement models and reusable solutions
• Influence Product, R&D and GTM so that customer insights and delivery learnings shape the product roadmap and go-to-market strategy
• Own OKRs for AI-services led accounts, revenue, utilisation and public references, and represent Databricks as a thought leader in AI/ML

Required profile

• Extensive experience managing, hiring and building teams of data scientists and ML engineers, with a track record of scaling organisations
• Ability to scope, guide and sell technical engagements, manage escalations and deliver successfully in enterprise environments
• Experience leading teams building production ML solutions in cloud environments (AWS, Azure or GCP)
• Proven success developing strategies with senior executives and cross-functional leadership with Sales, Product and GTM teams
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Preferred: customer-facing consulting or professional services leadership experience, and experience with Databricks

Required skills

• Deep technical expertise in ML, GenAI and data science
• Cloud platforms: AWS, Azure or GCP