# Sr. Manager, AI Forward Deployed Engineering (FDE) – EMEA

**Company**: Databricks
**Location**: Amsterdam, Netherlands
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8574912002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fefc08b5-c26

## Description

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.

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 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

- "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

## Skills

### Required
- Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and 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
- 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

### Nice to have
- Experience in a customer-facing consulting or professional services leadership role
- Experience working with Databricks

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8574912002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)