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Director, Field Engineering

Leads a large technical pre-sales organization serving Retail and CPG enterprise customers, driving Data and AI strategy, strategic transactions, and measurable customer outcomes. Requires extensive leadership experience, enterprise software pre-sales success, and expertise across data, analytics, AI, and cloud technologies.

About the job

Responsibilities

  • Lead first-line Managers and a growing team of technical pre-sales Solutions Architects.
  • Build a collaborative, high-performing team culture in a rapid-growth environment.
  • Develop trusted, long-term executive relationships with Retail and CPG customers.
  • Help customers accelerate Data and AI strategies across customer experience, merchandising, supply chain, demand forecasting, marketing, and operations.
  • Promote a solution- and value-based Field Engineering organization.
  • Understand customer business priorities and revenue opportunities across the assigned region and industry.
  • Serve as a thought leader within the Retail, CPG, Data, and AI ecosystem.
  • Drive strategy and execution with Sales, Product, Engineering, Customer Success, Marketing, and executive stakeholders.
  • Establish operational cadence and scalable processes that improve the effectiveness and productivity of technical field organizations.
  • Guide strategic engagements, communicate complex technical solutions in terms of business value, support enterprise sales cycles, and build relationships with senior business and technology leaders.

Requirements

  • At least 3 years of second-line leadership experience managing teams of 30 or more individuals.
  • 10+ years of overall leadership experience.
  • Proven success leading high-growth enterprise software pre-sales organizations in 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.
  • Track record of driving large strategic transactions and expanding high-growth enterprise accounts.
  • Ability to influence, develop, and empower teams to achieve ambitious business objectives.
  • Proven track record of delivering transformational customer outcomes and measurable business value.
  • Experience building strong customer relationships and cross-functional partnerships.
  • Experience positioning technical solutions within complex enterprise environments and supporting long-term platform adoption.
  • Strong operational leadership and experience implementing scalable processes.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

Benefits

  • Comprehensive benefits and perks designed to meet the needs of employees.

Skills

Databricks, Data Engineering, Data Analytics, Artificial Intelligence, Machine Learning, Cloud Technologies, Enterprise Software, Digital Transformation, Data Strategy, Solutions Architecture

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