Senior Manager, AI Forward Deployed Engineering - London
Lead and grow the UK AI Forward Deployed Engineering team at Databricks, driving AI/ML transformations for customers.
Posted by employer 6 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Lead and scale a world-class AI/ML professional services team
- Develop and expand executive relationships with EMEA customers
- Align with Field Engineering and Sales Leaders for strategic accounts
- Lead strategic AI PS initiatives and standardised delivery processes
- Represent Databricks as a thought leader in AI/ML
Must have
- Extensive experience managing and building a team of data scientists/ML engineers
- Ability to scope, guide, and sell technical engagements
- Deep technical expertise in ML, GenAI, and data science
- Experience leading teams building production ML solutions in cloud environments
- Proven success in developing strategy with senior executive stakeholders
- Graduate degree in a quantitative discipline or equivalent experience
Nice to have
- Experience in a customer-facing consulting or professional services leadership role
- Experience working with Databricks
Practical constraints
- Remote location for candidates to be based in the United Kingdom region ONLY
AI in the day-to-day
We deliver professional services engagements to help customers build and productionize AI applications with a focus on GenAI.
Requirements
- Education
- Master's degree
- Visa
- No sponsorship (stated in posting)
Not disclosed in this posting: compensation, years of experience.
Joblaze summary
The Senior Manager of AI Forward Deployed Engineering at Databricks leads a specialized team focused on delivering AI solutions to clients, guiding them through their AI/ML transformations. This role requires deep expertise in machine learning and data science, along with strong leadership skills to build and mentor a high-performing team. Ideal candidates have a background in managing technical engagements and collaborating with senior executives, making this position suitable for experienced professionals in AI consulting. The role also emphasizes cross-functional collaboration to align product development with customer needs.
Joblaze insights
- Listed today on Joblaze — tracked directly from Databricks's career page.
- Databricks has 940 other open roles including AI Forward Deployed Engineer - France, AI Forward Deployed Engineer - Germany, デリバリーソリューションアーキテクト.
- 5035 active AI/ML roles on Joblaze right now.
- 779 active Machine Learning roles on Joblaze right now.
- 239 active Data Science roles on Joblaze right now.
- Typical AI/ML salary we track runs $139,823–$230,000 (median $180,000, across 2182 roles). See AI/ML salary trends
Quick facts
- Is the Senior Manager, AI Forward Deployed Engineering - London role remote?
- It's hybrid — Databricks expects some on-site time in London, United Kingdom.
- Where is the role based?
- Databricks is hiring for this position in London, United Kingdom.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Data Science, GenAI, Machine Learning.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Manager, AI Forward Deployed Engineering - London role at Databricks.
From the original posting
REQ ID: CSQ128R7
Location: London, United Kingdom - Remote location for candidates to be based in the United Kingdom region ONLY (not remote from any other country)
Mission
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 UK 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 Director AI FDE.
The impact you will have:
- 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
What we look for:
- 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
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.