Manager, Forward Deployed Engineering

Databricks
Amsterdam
Workplace: OnsiteFull timeFunction: Program & Project Management (PMO)Skills: ["Leadership","Stakeholder management","Mentoring","Risk management","Customer escalation"]

Lead a Forward Deployed Engineering team aligned with Databricks’ most strategic enterprise customers, shaping how organizations migrate to the lakehouse and deploy next-generation AI and GenAI systems. Own delivery quality and regional performance targets, establish project oversight and risk/quality best practices, and escalate on high-stakes customer situations. Partner with sales and field engineering leaders to deliver data and AI professional services programs, while coaching engineers and feeding insights back to product and engineering.

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FursaFursa
Databricks
Databricks
2 months ago

Manager, Forward Deployed Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead a Forward Deployed Engineering team aligned with Databricks’ most strategic enterprise customers, shaping how organizations migrate to the lakehouse and deploy next-generation AI and GenAI systems. Own delivery quality and regional performance targets, establish project oversight and risk/quality best practices, and escalate on high-stakes customer situations. Partner with sales and field engineering leaders to deliver data and AI professional services programs, while coaching engineers and feeding insights back to product and engineering.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: Program & Project Management (PMO)
Seniority: Manager level

Key Responsibilities

  • •Lead a team of Forward Deployed Engineers serving strategic enterprise customers across data migrations, legacy modernization, and AI/ML/AI agent deployments.
  • •Oversee regional performance targets, including billable utilization, team growth, and hiring, while championing delivery excellence and customer success.
  • •Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational professional services programs.
  • •Establish best practices for project oversight, risk management, and quality standards to ensure on-time delivery and adherence to specification.
  • •Serve as the escalation point for high-stakes customer situations, and mentor engineers through structured career pathways and technical coaching.
Travel: Medium travel

Key Requirements

  • •4+ years of people leadership experience managing technical delivery teams, solution architects, or professional services organizations.
  • •5+ years of hands-on experience as a technical solutions architect or data/AI engineer to coach and support senior practitioners.
  • •Proven success leading large-scale data platform migrations and AI/ML programs in enterprise environments across industries.
  • •Strong understanding of technical project delivery, including scope, timelines, statements of work (SOWs), and delivery metrics.
  • •Strong stakeholder management experience navigating complex, high-stakes customer environments and influencing at the C-suite level.
Experience:EnterpriseData platformsAI/MLProfessional services
Skills:LeadershipStakeholder managementMentoringRisk managementCustomer escalation
Languages:English
Tech Stack:Apache SparkMLflowDelta LakeLakehouseMLOpsGenAI

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