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Manager, Field Engineering (Pre-Sales) – Benelux Named Accounts

Databricks· Engineering
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AmsterdamFull-timePosted 2w ago

About the role

Lead a high-performing technical pre-sales Solutions Architect team for enterprise Named Accounts across the Benelux region. Combine deep technology with business strategy to drive platform adoption and enterprise AI initiatives, spending ~30-40% in the field coaching and guiding customers and internal teams.

Responsibilities

  • Hire, mentor, and retain Solutions Engineers/Architects in the Benelux region; establish high standards for technical excellence and performance management.
  • Embed AI tools into team workflows and drive scalable capability across the organization.
  • Build trusted relationships with VP/C-level and senior technical executives; translate platform capabilities into measurable business ROI.
  • Co-own regional consumption and growth targets with Sales; maintain rigorous inspection cadences across pipeline health, technical validation, and account strategy.
  • Serve as architectural sounding board; diagnose platform designs and coach SAs to refine architectures independently.
  • Expand Databricks' presence in the Benelux region across enterprise accounts.

Qualifications

  • Experience managing or leading a technical customer-facing team.
  • Experience partnering with Sales and cross-functional teams through complex, multi-stakeholder engagements.
  • Experience in data platforms, analytics, AI, cloud, software, technical consulting, or related technical domain.
  • Strong written, verbal, presentation, and stakeholder-management skills.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent practical experience.

Skills

Required:Leadership of technical pre-sales teamsAI-Builder MindsetArchitectural coaching

Benefits

  • Benefits details available regionally via provided link.
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Databricks

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Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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