Manager, Field Engineering - Eastern Europe

Databricks
Zurich
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceSkills: ["Leadership","Coaching","Communication","Executive presence","Strategic storytelling","Whiteboarding","Inclusive culture"]

Lead, coach, and scale a pre-sales engineering team of Solutions Architects and Solutions Engineers across Eastern Europe. Partner with Enterprise Sales to technical qualify and accelerate enterprise cycles, linking PoCs/PVs to measurable customer ROI. Drive value-engineered pre-sales methodologies, build executive-level alignment with customer CTO/CDO and AI leadership, and strengthen co-selling and downstream implementation motions with regional SI and CSP partners.

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FursaFursa
Databricks
Databricks
4 days ago

Manager, Field Engineering - Eastern Europe

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Lead, coach, and scale a pre-sales engineering team of Solutions Architects and Solutions Engineers across Eastern Europe. Partner with Enterprise Sales to technical qualify and accelerate enterprise cycles, linking PoCs/PVs to measurable customer ROI. Drive value-engineered pre-sales methodologies, build executive-level alignment with customer CTO/CDO and AI leadership, and strengthen co-selling and downstream implementation motions with regional SI and CSP partners.
Location: Zurich
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Lead, coach, and scale a pre-sales engineering team across Eastern Europe, including hiring, onboarding, and ongoing technical enablement.
  • •Partner with Sales leadership to forecast, technically qualify, and accelerate enterprise sales cycles using PoCs/PVs tied to consumption and ROI.
  • •Establish rigorous pre-sales methodologies that shift discussions to strategic business outcomes for trusted architectural advising.
  • •Engage with customer executives and regional SI/CSP partners to secure reference architectures and drive co-selling and implementation strategies.
  • •Collaborate with regional marketing and field leadership to expand brand presence through community engagement, executive roundtables, and developer events.

Key Requirements

  • •Proven track record building, coaching, and scaling technical pre-sales or solutions architecture teams in SaaS, cloud, or enterprise Data/AI environments.
  • •Experience as a practitioner or technical consultant in at least one core technical domain.
  • •Hands-on understanding of consumption-driven SaaS business models and technical pipeline/deal qualification frameworks (e.g., MEDDPICC).
  • •Ability to review, challenge, and influence complex multi-cloud data architectures across AWS, Azure, and GCP.
  • •Professional fluency in English; fluency in one or more Eastern European languages (e.g., Polish, Greek, Romanian, Bulgarian, Czech) is strongly preferred.
Experience:SaaSCloudEnterprise dataAIPre-salesSolutions engineeringData & AIConsumption-based SaaS
Skills:LeadershipCoachingCommunicationExecutive presenceStrategic storytellingWhiteboardingInclusive culture
Languages:EnglishPolishGreekRomanianBulgarianCzech
Tech Stack:AWSAzureGCPPoCsPVsMEDDPICCDatabricks Data Intelligence PlatformGenieLakehouseUnity CatalogAgent BricksLakeflowLakebase

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn