Director, Field Engineering Emerging Enterprises & Startups

Databricks · San Francisco, California · Field Engineering - FE Direct Emerging · listed September 18, 2026

The shape of it

Seniority
Director
Where
Not stated
Requirements listed
14
Length
877 words

In the posting’s own words

As a Director, Field Engineering, you will lead a multi-team Field Engineering organization and own strategy, talent, operating model, and execution for a significant business area. You will scale customer and business impact through other leaders while influencing broader go-to-market, partner, Product, Engineering, and company priorities.

What it asks for · 14

  • Extensive experience leading technical customer-facing organizations in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment.
  • Track record of recruiting exceptional talent, developing leaders, addressing complex performance situations, and evolving organizational structure for scale.
  • Strong strategic and business judgment, with the ability to connect customer and market insight to organizational priorities and measurable business outcomes
  • Demonstrated ability to influence senior leaders across Sales, Professional Services, Marketing, Partners, Product, Engineering, Support, and executive stakeholders.
  • Executive-level customer-advisory skills, including the ability to guide complex programs, critical escalations, technical strategy, and long-term transformation roadmaps.
  • An AI-first, builder mindset demonstrated through experimentation, adoption, and scalable application of AI to customer outcomes and organizational effectiveness.
  • Demonstrated alignment with Databricks Culture Principles and a track record of preserving and strengthening culture during growth and change.
  • Experience leading multi-team technical customer-facing organizations and managing through other leaders.
  • Experience leading complex customer transformations and cross-functional initiatives.
  • Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
  • Experience with Databricks or comparable data and AI platforms.
  • Experience leading across multiple business units, countries, customer segments, or Field Engineering practices.
  • Experience building leadership pipelines, succession plans, communities of practice, and scalable talent systems.

Degree language

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Tools and skills named

Data
  • Databricks3×
  • Experimentation
Go to market
  • Go-to-market4×
Ways of working
  • Cross-functional3×
Operations & finance
  • Recruiting
Security & compliance
  • Security

Words the posting leans on

  • experience12×
  • customer11×
  • technical10×
  • business9×
  • engineering9×
  • leaders6×
  • operating6×
  • organizational6×
  • partner6×
  • priorities6×
  • strategy6×
  • talent6×
  • complex5×
  • data5×
  • field engineering5×
  • impact5×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 18, 2026 and last changed by Databricks on September 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.