Databricks
Director, Field Engineering Emerging Enterprises & Startups
San Francisco, California +1 · Remote · Director · Full-time · Posted Sep 18, 2026
- Location
- San Francisco, California
Remote - Washington - Experience
- No specific number of years stated.
- Education
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
About the job
Leads Databricks’ multi-team Field Engineering organization for a significant business area, setting strategy and scaling customer and business impact through leaders and cross-functional work.
What you'll do
- Build and develop a leadership team and oversee hiring, performance, succession, and organizational design.
- Own strategy, customer coverage, technical priorities, operating model, execution, and business outcomes across teams.
- Guide senior customer relationships and complex transformations while influencing cross-functional GTM, partner, Product, Engineering, and company priorities.
What they ask for
- Experience leading multi-team technical customer-facing organizations through other leaders and owning strategy and execution for a significant scope.
- Experience leading complex customer transformations and cross-functional initiatives in a technical domain such as data platforms, analytics, AI, cloud, software, or technical consulting.
- Strong executive communication, strategic-planning, and stakeholder skills; technical credibility across data platforms, analytics, AI, cloud architecture, governance, security, networking, and enterprise adoption.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Nice to have
- Experience with Databricks or comparable data and AI platforms.
- Experience shaping broader GTM strategy, partner ecosystems, product priorities, or company-wide programs.
Tools
Databricks, data platforms, analytics, AI, cloud
AI focus
Use AI to drive one-to-many organizational impact and apply it at scale to customer outcomes and organizational effectiveness.
Model-written summary · the original posting is authoritative