# Director, Field Engineering Emerging Enterprises & Startups **Company**: Databricks **Location**: San Francisco, California **Experience**: executive **Job type**: full-time **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q18350420 **Apply**: https://job-boards.greenhouse.io/databricks/jobs/8662803002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_08d3c2c2-6e4 ## Description As a Director, Field Engineering, you will lead a multi-team Field Engineering organisation and own strategy, talent, operating model, and execution for a significant business area. The Impact You Will Have: - 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 6–12+ 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 organisation that create visibility, accountability, predictable execution, and fast course correction. - Shape resourcing and organisational 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 organisation. - 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 organisational impact. - Act as a recognised 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. What We Look For: - Extensive experience leading technical customer-facing organisations 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 organisational structure for scale. - Strong strategic and business judgment, with the ability to connect customer and market insight to organisational 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 organisational effectiveness. - Demonstrated alignment with Databricks Culture Principles and a track record of preserving and strengthening culture during growth and change. Basic Qualifications: - Experience leading multi-team technical customer-facing organisations 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. - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications: - 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 organisational operating models. ## Skills ### Required - Field Engineering - leadership - strategy - talent management - operating model - execution - business impact - customer relationships - technical credibility - AI - data platforms - analytics - cloud architecture ### Nice to have - Databricks - GTM strategy - partner ecosystems - product priorities - leadership pipelines - succession plans - automation --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8662803002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)