Jobs / Netherlands / Databricks

Sr. Manager, AI Forward Deployed Engineering

Databricks · 🇳🇱 Amsterdam, Netherlands

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThis employer is on the IND public register of recognised sponsors. Source: Public register of recognised sponsors (Immigration and Naturalisation Service (IND)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesNo salary stated. Netherlands highly skilled migrant permit needs at least €71,304 a year (under-30: €52,284). Source: https://ind.nl/en/required-amounts-income-requirements, rules effective 2026-01-01.
  • Confirmed live todayWhen a source last listed this job as open.

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Sponsor Radar — Databricks

IND recognised sponsor (Netherlands)

This employer is on the IND public register of recognised sponsors. Source: Public register of recognised sponsors (Immigration and Naturalisation Service (IND)).

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About the role

REQ ID: CSQ427R198 Location: Amsterdam, Netherlands 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 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. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databri

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Source: Greenhouse (employer board) First seen: 2026-08-18 Last confirmed: 2026-10-03 How our data works → Report this job

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