Director, Field Engineering Emerging Enterprises & Startups

Databricks
San Francisco, Washington
Workplace: RemoteFull timeFunction: Entrepreneurship & Venture BuildingEducation: bachelorsSkills: ["Strategic planning","Talent leadership","Executive communication","Presentation skills","Stakeholder management","Program leadership","Operating model design"]

Lead a multi-team Field Engineering organization for Emerging Enterprises & Startups, owning strategy, talent, operating model, execution, and measurable business impact. Build a high-performing leadership team, translate customer and market signals into 6–12+ month plans, and scale execution through leaders, cross-functional GTM initiatives, and partner ecosystems. Serve senior customer stakeholders, guide complex programs and escalations, and drive operating cadences, resourcing, and talent practices while influencing broader company priorities.

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Databricks
Databricks
2 days ago

Director, Field Engineering Emerging Enterprises & Startups

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Job Summary

Lead a multi-team Field Engineering organization for Emerging Enterprises & Startups, owning strategy, talent, operating model, execution, and measurable business impact. Build a high-performing leadership team, translate customer and market signals into 6–12+ month plans, and scale execution through leaders, cross-functional GTM initiatives, and partner ecosystems. Serve senior customer stakeholders, guide complex programs and escalations, and drive operating cadences, resourcing, and talent practices while influencing broader company priorities.
Location: San Francisco, Washington
Workplace: Remote
Employment Type: Full time
Job Function: Entrepreneurship & Venture Building
Seniority: Director level

Key Responsibilities

  • •Build and lead a strong leadership team to attract, develop, and retain Field Engineering talent.
  • •Own end-to-end strategy across talent, customer coverage, technical priorities, operating model, execution, and business impact.
  • •Translate customer, market, competitive, and technical trends into clear priorities and 6–12+ month plans.
  • •Scale impact through leaders and cross-functional GTM initiatives, partner ecosystems, and repeatable operating mechanisms.
  • •Establish operating norms and inspection cadences, shape resourcing and organizational design, and drive hiring rigor, leadership development, performance management, and succession planning.

Key Requirements

  • •Extensive experience leading technical customer-facing organizations in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment.
  • •Proven success leading through managers and building a high-performing leadership team across multiple teams.
  • •Track record recruiting exceptional talent, developing leaders, addressing complex performance situations, and evolving organizational structure for scale.
  • •Strong strategic and business judgment connecting customer and market insight to organizational priorities and measurable outcomes.
  • •Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
Experience:Enterprise softwareCloudDataAIAnalyticsTechnical consulting
Education:Bachelor's
Skills:Strategic planningTalent leadershipExecutive communicationPresentation skillsStakeholder managementProgram leadershipOperating model design
Languages:English
Tech Stack:Data platformsAnalyticsAICloud architectureGovernanceSecurityNetworkingDatabricksGenieLakebaseAgent BricksLakeflowLakehouseUnity Catalog

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