Sr. Manager, AI Forward Deployed Engineering (AI-FDE) in London

Sr. Manager, AI Forward Deployed Engineering (AI-FDE) in London

London Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
C

At a Glance

  • Tasks: Lead a world-class AI team and drive customer AI transformations.
  • Company: Join Databricks, a leader in Data and AI with a global impact.
  • Benefits: Comprehensive benefits, remote work options, and a commitment to diversity.
  • Other info: Opportunity to work with major global brands and influence cutting-edge technology.
  • Why this job: Shape the future of AI while mentoring top talent in a dynamic environment.
  • Qualifications: Proven leadership in AI/ML, strong technical expertise, and strategic vision.

The predicted salary is between 72000 - 88000 £ per year.

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 productionise 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 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.

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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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.

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.

Sr. Manager, AI Forward Deployed Engineering (AI-FDE) in London employer: Cacheflow

At Databricks, we are dedicated to solving the world's toughest problems through innovative data and AI solutions, making us an exceptional employer for those passionate about technology and its impact on industries like Utilities. Our collaborative work culture fosters creativity and growth, offering employees ample opportunities for professional development while working alongside top-tier clients and partners. With a commitment to diversity and comprehensive benefits, Databricks provides a rewarding environment where you can thrive and make a meaningful difference.

C

Contact Details:

Cacheflow Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Sr. Manager, AI Forward Deployed Engineering (AI-FDE) in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Cacheflow or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Cacheflow.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Cacheflow.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Cacheflow that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Sr. Manager, AI Forward Deployed Engineering (AI-FDE) in London

AI/ML Transformation
Team Management
Data Science
Machine Learning Engineering
Technical Engagements
Cloud Environments (AWS, Azure, GCP)
Cross-Functional Leadership

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Cacheflow.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cacheflow and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Cacheflow

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Cacheflow uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.