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🟒 Actively Hiring Β· Posted Today ⏳ Closes in 60 days US Corridor πŸ›‘οΈ US Work Authorization 🏒 FULL_TIME

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

🏒 databricks β€’ πŸ“ Munich β€’ πŸ•’ Oct 8, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package

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OP-VERIF-49FE55D3 βœ“ Passed Inspection

This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified IRS EIN & State Corporate Entity standing confirmed
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Prevailing Wage Benchmark US DOL Fair Labor Standards Act (FLSA) aligned
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Corridor Right-to-Work Match US Work Authorization

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
Munich
Tier-1 US Economic Zone
Est. Take-Home Pay
72% - 78% (After Federal/State Tax)
Single tax filer baseline
Transatlantic Parity
1.0 USD β‰ˆ Β£0.79 GBP Living Standard
Direct corporate benchmark
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Position Overview & Specifications

REQ ID: CSQ427R198

Location: Munich, Germany - Remote location for candidates to be based in the Germany 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 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.Β 

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 GTMβ€”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
  • β€œCompany-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 β€” including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 β€” 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.

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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United States Work Authorization & Sponsorship Guide

Corridor Intelligence

Under United States immigration law (INA Β§ 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:

πŸ‡ΊπŸ‡Έ H-1B Specialty Occupation & Cap

Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.

⚑ TN / O-1 / STEM OPT Pathways

Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.

βš–οΈ Official regulatory reference: USCIS Working in the US & US DOL Foreign Labor Certification.

Candidate Preparation Blueprint: Technology

Recruitment Insights

Based on transatlantic hiring benchmarks for Sr. Manager, AI Forward Deployed Engineering (AI-FDE) roles across databricks's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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Hiring Organization
databricks

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Location: Munich
Eligibility: US Work Authorization
Schedule: FULL_TIME
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