Director, Field Engineering Emerging Enterprises & Startups
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
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 impact through other leaders, build trusted relationships with senior customer stakeholders, and influence go-to-market, partner, Product, and Engineering priorities.
Requirements
- Extensive experience leading technical customer-facing organizations in enterprise software, cloud, data, AI, analytics, or technical consulting
- Experience leading multi-team organizations and managing through other leaders
- Experience owning strategy and execution for a significant business area
- Experience leading complex customer transformations and cross-functional initiatives
- Strong written, verbal, presentation, and strategic-planning skills
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent practical experience
Responsibilities
- Build and lead a strong leadership team that attracts, develops, and retains Field Engineering talent
- Own end-to-end strategy across talent, customer coverage, technical priorities, operating model, and execution
- Translate customer, market, and technical trends into priorities and 6–12+ month plans
- Scale impact through leaders, cross-functional GTM initiatives, and partner ecosystems
- Build trusted relationships with senior customer stakeholders and guide complex programs and escalations
- Establish operating norms and inspection cadences
- Shape resourcing and organizational design
- Upgrade hiring rigor, leadership development, performance management, and succession planning
- Influence Sales, Professional Services, Marketing, Partners, Product, Engineering, and Support priorities
- Partner with GTM Strategy & Operations to create scalable tools and programs, using AI
- Act as a recognized resource on data, AI, cloud, and market trends