Director, Field Engineering (CPG & Retail)

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.