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Director, Field Engineering (CPG & Retail)

Lead a team of pre-sales Managers and Solutions Architects to drive Data and AI strategies for CPG and Retail customers.

Location
United States
Compensation
Not disclosed
Level
director
Type
full time

Posted by employer 2 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 9 hours ago

Requirements

Experience
10+ years
Education
Bachelor's degree

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

Joblaze summary

In the role of Director of Field Engineering at Databricks, the individual will lead a team focused on engaging with enterprise clients in the Consumer Packaged Goods and Retail sectors to implement data and AI solutions that address critical business challenges. Key skills include expertise in enterprise software, data engineering, and cloud technologies, alongside a strong background in managing large teams and driving strategic sales initiatives. This position is suited for a seasoned leader with a proven track record in high-growth environments, particularly within the data and analytics space. The role emphasizes building collaborative relationships and fostering a culture of psychologi

Joblaze insights

  • Listed about a month ago — first seen on Joblaze August 11, 2026. Last confirmed on Databricks's careers page October 9, 2026.
  • AI/ML appears in 19.6% of 495 comparable director management roles in United States; Data Engineering appears in 1% of 495 comparable director management roles in United States.

Quick facts

How much experience is required?
At least 10 years of relevant experience for this Director, Field Engineering (CPG & Retail) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Cloud, Data Engineering.
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 (CPG & Retail) role at Databricks.

From the original posting

REQ ID: FEQ427R375

Mission:

As the Director of Field Engineering, you will be responsible for partnering with our enterprise Consumer Packaged Goods (CPG) and Retail customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical business challenges.

Reporting to the Tech GM of Field Engineering for Retail & Consumer Packaged Goods (CPG), the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects focused on acquiring new customers and expanding strategic relationships across the Retail and CPG industry. You will work closely with Sales, Product, Engineering, Customer Success, and executive stakeholders to drive strategy and execution against our ambitious growth goals.

You will foster a culture of psychological safety while developing and scaling a high-performing team with expertise in enterprise software, data engineering, analytics, AI/ML, and cloud technologies. Your experience partnering with Sales will help drive complex enterprise opportunities while coaching managers and field engineering teams to deliver exceptional customer outcomes. You will guide your team through strategic engagements, communicate complex technical solutions in terms of business value, support enterprise sales cycles, and build trusted relationships with senior business and technology leaders across the Retail and CPG industry.

The impact you will have:

  • Hire and manage first-line Managers and a growing team of technical pre-sales
    Solutions Architects.

  • Build a collaborative culture within a rapid-growth team. Embody and promote
    Databricks' customer-obsessed, truth-seeking, diverse culture, and first principles
    mindset.

  • Develop trusted, long-term executive relationships with customers while maintaining a
    deep understanding of the Retail and CPG industry, including key business trends,
    competitive dynamics, and digital transformation priorities.

  • Help customers accelerate their Data and AI strategies across areas such as customer
    experience, merchandising, supply chain, demand forecasting, marketing, and
    operations.

  • Promote a solution- and value-based Field Engineering organization.

  • Display an understanding of customer business priorities and revenue opportunities
    across the assigned region and industry.

  • Serve as a thought leader for Databricks and within the Retail, CPG, Data, and AI
    ecosystem.

What we look for:

  • At least 3 years of second-line leadership experience managing teams of 30+
    individuals, with 10+ years of overall leadership experience.

  • Proven success leading high-growth enterprise software pre-sales organizations
    within Retail, CPG, cloud, data, analytics, or AI.

  • Experience partnering with Retail and/or CPG customers on large-scale data,
    analytics, AI, or digital transformation initiatives.

  • Ability to elevate executive engagement, with a track record of driving large strategic
    transactions and expanding high-growth enterprise accounts.

  • Proven leadership ability to influence, develop, and empower teams to achieve
    ambitious business objectives through collaboration.

  • Drive operational rigor to manage a high-growth business, establishing the right
    operating cadence while ensuring visibility into customer priorities, escalations, and
    product feedback.

  • Proven track record of delivering transformational customer outcomes and
    measurable business value.

  • Track record of building strong customer relationships and cross-functional
    partnerships across Sales, Engineering, Product, Marketing, and Customer Success.

  • Experience positioning technical solutions within complex enterprise environments
    and helping customers realize long-term value and platform adoption with Databricks.

  • Strong operational leadership with experience implementing scalable processes that
    improve the effectiveness and productivity of technical field organizations.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or
    equivalent practical experience.

About Databricks

Benefits

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

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