← Back to results

Director, Field Engineering Emerging Enterprises & Startups

Lead a multi-team Field Engineering organization at Databricks, driving strategy and execution for emerging enterprises and startups.

Location
San Francisco, California
Compensation
Not disclosed
Level
director
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 5 hours ago

What you'll build

  • Build and lead a strong leadership team
  • Own an end-to-end strategy across talent and customer coverage
  • Translate customer and market trends into clear priorities
  • Establish operating norms and inspection cadences
  • Influence broader Sales and executive priorities

Must have

  • Experience leading multi-team technical customer-facing organizations
  • Experience owning strategy and execution for a significant business area
  • Experience leading complex customer transformations
  • Experience in data platforms, analytics, AI, cloud, software
  • Strong written, verbal, and presentation skills

Nice to have

  • Experience with Databricks or comparable data and AI platforms
  • Experience shaping broader GTM strategy
  • Experience building leadership pipelines and succession plans
  • Experience using AI, automation, or analytics to transform models

AI in the day-to-day

Act as a recognized resource on data, AI, cloud, customer transformation, and evolving market trends.

Requirements

Education
Bachelor's degree

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In the role of Director of Field Engineering for Emerging Enterprises and Startups at Databricks, the individual will oversee a multi-team organization, focusing on strategy, talent development, and operational execution to enhance customer and business impact. Key skills include extensive experience in technical customer-facing roles, strong leadership capabilities, and a deep understanding of data, AI, and cloud technologies. This position is suited for a seasoned leader with a proven track record in managing complex transformations and influencing cross-functional initiatives. The role emphasizes building a high-performing team while aligning with Databricks' culture and strategic goals.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 19, 2026. Last confirmed on Databricks's careers page November 6, 2026.
  • AI appears in 4.9% of 556 comparable director management roles in United States; Data appears in 0.4% of 556 comparable director management roles in United States.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: AI, Analytics, Cloud, Data, technical consulting.
What seniority level is this role?
Databricks targets director candidates for this position.
Is this full-time or contract?
Full-time for this Director, Field Engineering Emerging Enterprises & Startups role at Databricks.

From the original posting

Req ID FEQ327R163

About the Role

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 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.

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 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.
What We Look For
  • 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.
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 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 organizational operating models.

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Similar positions

Databricks
Director, Field Engineering
Databricks · Tokyo, Japan
Databricks
Director, Americas Sales Finance
Databricks · San Francisco, California
Databricks
Databricks
Director, Global Delivery Excellence
Databricks · United States
Databricks
Product Finance Director, R&D Capital Allocation & Engineering Operations
Databricks · Mountain View, California; San Francisco, California; Seattle, Washington