At a Glance
- Tasks: Lead a world-class AI team and drive customer AI transformations.
- Company: Join Databricks, a leader in data and AI innovation.
- Benefits: Comprehensive benefits, remote work options, and a commitment to diversity.
- Other info: Opportunity for travel and collaboration across major European cities.
- Why this job: Shape the future of AI while mentoring top talent in a dynamic environment.
- Qualifications: Extensive experience in managing AI teams and technical engagements.
The predicted salary is between 72000 - 108000 £ per year.
London, United Kingdom
CSQ426R241
The Forward Deployed AI Engineering (AI FDE) team is a highly specialized 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 to shape long-term strategic priorities and initiatives alongside AI/ML Product, Research, and Engineering.
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. This role can be remote in Europe, but the preference is for candidates to be near a major office location such as London, Amsterdam, Paris, or Munich. Candidates should expect to travel at least once a month.
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 standardized 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, utilization, 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 organizations 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 developing 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
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 10,000 organizations worldwide – including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 – rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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, please visit https://www.mybenefitsnow.com/databricks.
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, socioeconomic 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.
Sr. Manager, AI Forward Deployed Engineering (FDE) – EMEA in City of London employer: Databricks Inc.
Databricks is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the rapidly evolving field of AI and data science. With a strong commitment to employee growth, you will have the opportunity to lead a world-class team, engage with senior executives across EMEA, and shape the future of AI applications while enjoying comprehensive benefits and a diverse, inclusive environment. Located near major European cities like London, this role provides a unique chance to make a significant impact in a global company renowned for its cutting-edge technology and thought leadership.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Manager, AI Forward Deployed Engineering (FDE) – EMEA in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Databricks Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Sr. Manager, AI Forward Deployed Engineering (FDE) – EMEA at Databricks Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Databricks Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Sr. Manager, AI Forward Deployed Engineering (FDE) – EMEA at Databricks Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Sr. Manager, AI Forward Deployed Engineering (FDE) – EMEA in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Databricks Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Databricks Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Databricks Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Databricks Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.