Director, Field Engineering Emerging Enterprises & Startups

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.

This role typically oversees a leadership team of approximately 35 leaders or an equivalent multi-team scope. Depending on the assignment you may lead a broad business unit multiple segments or countries a major portfolio or another strategically significant area.

• Build and lead a strong leadership team that attracts develops and retains exceptional Field Engineering talent.
• Own an 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 612 month plans.
• Scale impact beyond individual teams through leaders cross-functional GTM initiatives partner ecosystems and repeatable operating mechanisms.
• Build trusted relationships with senior customer stakeholders including VP-level and equivalent audiences and guide complex programs escalations and transformation roadmaps.
• Establish operating norms and inspection cadences across the organization that create visibility accountability predictable execution and fast course correction.
• Shape resourcing and organizational design to support growth customer outcomes technical quality and long-term business value.
• Upgrade hiring rigor talent practices leadership development performance management and succession planning across the organization.
• Influence broader Sales Professional Services Marketing Partners Product Engineering Support and executive priorities through a clear point of view and strong cross-functional relationships.
• Partner with GTM Strategy & Operations and other functions to create scalable tools programs dashboards and mechanisms; use AI to drive one-to-many organizational impact.
• Act as a recognized resource on data AI cloud customer transformation and evolving market trends.
• Embed Databricks Culture Principles into hiring development recognition decision-making and daily operations while maintaining a high bar for performance and customer impact.

• 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.
• 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
• Experience designing and running operating models across multiple teams portfolios segments geographies or countries.

• 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.
• Strong technical credibility across data platforms analytics AI cloud architecture governance security networking and enterprise adoption with the judgment to pressure-test complex approaches.
• 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 owning strategy and execution for a significant business area portfolio geography segment or comparable scope.
• Experience leading complex customer transformations and cross-functional initiatives.
• Experience in data platforms analytics AI cloud software technical consulting or a related technical domain.
• Strong written verbal presentation strategic-planning and executive-stakeholder skills.
• Bachelors 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 shaping broader GTM strategy partner ecosystems product priorities or company-wide programs.
• Experience building leadership pipelines succession plans communities of practice and scalable talent systems.
• Experience using AI automation analytics or other technology to transform organizational operating models.