Manager, Forward Deployed Engineering (AI)

Location: Munich, Germany; travel to customer sites approximately 20% of the time.

Company

Databricks is a Data and AI company providing a unified platform for data, analytics, machine learning, generative AI, and AI agents.

What you will do

• Lead and scale a high-performing team of Forward Deployed Engineers, setting standards for technical excellence, delivery quality, and customer impact.
• Oversee regional performance targets, including billable utilization, team growth, and hiring.
• Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver Professional Services programs covering data migrations, AI/ML platforms, and advanced analytics.
• Establish scalable practices for project oversight, risk management, quality standards, scope, timelines, and SOW management.
• Synthesize engagement insights for Engineering and Product Management, contributing to the product roadmap and reusable customer accelerators.
• Handle high-stakes customer escalations and mentor engineers through career pathways, technical coaching, and continuous growth.

Requirements

• 4+ years leading high-performing technical delivery teams, with a proven record of building excellence-driven cultures.
• 5+ years as a technical solutions architect or data/AI engineer, providing technical coaching credibility.
• Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, or the modern data and AI ecosystem.
• Consulting or Professional Services experience with a hands-on technical foundation.
• Technical depth to personally build with AI, coach teams on best practices, and drive organization-wide adoption.
• Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments.
• Strong understanding of technical project delivery, including scope, timelines, and SOW management.
• Strong stakeholder management skills in complex, high-stakes customer environments.
• Ability to travel to customer sites approximately 20% of the time.

Nice to have

• Prior experience at a hyperscaler such as Google, AWS, or Azure, or at a leading data/AI company.
• In-house or industry experience alongside vendor-side delivery experience.

Culture & Benefits

• Culture focused on technical excellence, innovation, mastery, continuous growth, and customer success.
• Comprehensive employee benefits and perks, with details varying by region.
• Commitment to a diverse and inclusive workplace with equal employment opportunity standards.
• Export-controlled technology or source-code access may require a U.S. government license at the employer's discretion.