Senior Manager, AI Forward Deployed Engineering

Databricks Inc.; United States; Remote; USD 238,000 - 318,000; Full time

Benefits offered by this job

Remote work

Global exposure

Job summary

Databricks Inc. seeks a senior leader to run the UK arm of its Forward Deployed AI Engineering team, delivering professional services for generative AI applications. You will build a high-performing team, advise enterprise customers at VP/CIO/CDO levels, and influence product and GTM strategy across EMEA.

The role focuses on scaling, executive engagement, and cross-functional delivery, with remote work based in the UK and direct reporting to the AI FDE function director.

Qualifications

• Experience scaling teams of data scientists and ML engineers.
• Ability to scope, guide, and sell technical engagements in enterprise environments.
• Deep technical expertise in ML, generative AI, and data science; stay current.
• Experience leading production ML solutions on AWS, Azure, or GCP.
• Demonstrated success partnering with senior executive stakeholders on program-level strategy and trust.
• Track record collaborating cross-functionally with Sales, Product, and GTM to drive business impact.

Responsibilities

• Lead, hire, and develop a team of data scientists, ML engineers, and team leads.
• Build and expand executive relationships with EMEA customers and partners as a trusted advisor during AI transformations.
• Align with field engineering and sales on joint strategy for strategic accounts and coordinate delivery across functions.
• Shape AI professional services by defining scalable engagement models, reusable solutions, and standardized delivery processes.
• Influence Product, R&D, and GTM by feeding back customer insights into the roadmap and go-to-market strategy.
• Own OKRs for AI-services-led accounts, revenue, utilisation, and public references; represent the organisation externally.

Skills

Team leadership

Data science

Machine learning

Executive relationships

Strategy alignment

Cross-functional collaboration

Education

Graduate degree in quantitative discipline

Tools

AWS

Azure

GCP

Job description

Role overview

A senior leadership role running the UK arm of a Forward Deployed AI Engineering team that delivers professional services engagements to help enterprises build and productionise first-of-kind generative AI applications. The position blends team building, executive-level customer advisory work, and cross-functional influence on product and GTM strategy across EMEA.

Responsibilities

• Lead, hire, and develop a team of high-performing data scientists, machine learning engineers, and team leads, scaling the organisation through process and leadership development.


• Build and expand executive relationships with EMEA customers and partners, including VP, CIO, and CDO-level stakeholders, acting as a trusted advisor during complex AI transformations.


• Align with field engineering and sales leaders on joint strategy for strategic accounts and coordinate delivery across functions.


• Shape AI professional services practice: define scalable engagement models, reusable solutions, and standardised delivery processes that travel across the global team.


• Influence Product, R&D, and GTM by feeding back customer insights and delivery learnings into the product roadmap and go-to-market strategy.


• Own OKRs for AI-services-led accounts, revenue, utilisation, and public references, and represent the organisation externally as a thought leader in AI/ML.

Requirements

• Extensive experience managing and scaling teams of data scientists, ML engineers, and leaders, with a record of building organisations and developing leaders.


• Ability to scope, guide, and sell technical engagements and manage escalations in enterprise environments.


• Deep technical expertise in machine learning, generative AI, and data science, with active curiosity to stay current.


• Experience leading teams that build production ML solutions on AWS, Azure, or GCP.


• Demonstrated success partnering with senior executive stakeholders on program-level strategy, technical vision, and trust.


• Track record collaborating cross-functionally with Sales, Product, and GTM teams to drive business impact through AI/ML.


• Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.

Nice to have

• Customer-facing consulting or professional services leadership experience.


• Hands-on experience working with major data and AI platforms.

Benefits and work setup

• Remote role based in the United Kingdom, with candidates required to be located in the UK region.


• Reports directly to the Director of the AI Forward Deployed Engineering function.