Director, Field Engineering Emerging Enterprises & Startups
Databricks Mosaic · San Francisco, California · Remote - Washington
CHECKED 15H AGO
Infrastructureremotedirector
At a glance
Highlights
- Lead multi-team Field Engineering org for emerging enterprises and startups.
- Own end-to-end strategy across talent, coverage, execution and business impact.
- Guide complex programs and transformation roadmaps with senior customer leaders.
Ideal candidate
Seasoned leader of technical customer-facing teams who scales impact through other leaders, pairs strategic judgment with customer obsession, and brings an AI-first builder mindset to Databricks culture.
Requirements
- Extensive experience leading technical customer-facing organizations in enterprise software, cloud, data, AI or related environment
- Proven success leading through managers and building a high-performing leadership team
- Track record recruiting talent, developing leaders and evolving organizational structure for scale
- Strong strategic and business judgment linking market insight to measurable business outcomes
- Experience designing and running operating models across multiple teams, segments or geographies
- Ability to influence senior leaders across Sales, Professional Services, Marketing, Partners, Product, Engineering and executives
- Executive-level customer-advisory skills for complex programs, escalations and transformation roadmaps
- Strong technical credibility across data platforms, analytics, AI, cloud architecture, governance and security
- AI-first, builder mindset with scalable application of AI to customer outcomes and effectiveness
- Alignment with Databricks Culture Principles with high bar for performance and customer impact
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration