Databricks: Director, Field Engineering Emerging Enterprises & Startups — San Francisco, California

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Director, Field Engineering Emerging Enterprises & Startups in San Francisco, California, under reference 8662803002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Field Engineering - FE Direct Emerging
• Employer listing date: 19 September 2026

Responsibilities and work described

• 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
• 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 3–5 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
• Building: and lead a leadership team that attracts, develops, and retains 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
• Building: trusted relationships with senior customer stakeholders, including VP-level and equivalent audiences, and guide complex programs, escalations, and transformation roadmaps
• Establishment: 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 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

Essential requirements and candidate background

• Extensive experience leading technical customer-facing organizations in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment
• Success leading through managers and building a high-performing leadership team
• Track record of recruiting talent, developing leaders, addressing complex performance situations, and evolving organizational structure for scale
• 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
• 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
• 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
• Basic Qualifications
• 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: data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain
• 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 experience and additional strengths

• Experience: 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: San Francisco, California

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Director, Field Engineering Emerging Enterprises & Startups vacancy is not an offer for reference 8662803002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8662803002.

Compare your qualifications and experience with the essential conditions for the San Francisco, California position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Excel

Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.

Relevant skills

• AI/ML
• Excel
• AI
• compliance
• sales
• marketing
• stakeholder management