Customer Success Manager

John Deere John Deere · Industrial · Johnston, IA +1 · Marketing and Sales (CA)

Customer Success Manager for JD Global Aftermarket & Customer Support, focused on driving dealer readiness, utilization, and renewals of SaaS offerings. The role involves acting as a trusted advisor, educating dealers on offerings, and collaborating with product teams. Requires AI fluency for scaling work and improving efficiency, along with experience in precision agriculture and with agricultural equipment dealers.

What you'd actually do

  1. Drive readiness, utilization, and renewals for assigned division(s) of dealers through direct engagement, focused Customer Success execution, and coordinated dealer engagement strategies with field team members.
  2. Establish and scale Customer Success capabilities within assigned dealerships, acting as a trusted advisor and coach to dealer teams while educating and enabling them on SaaS offerings to support customer adoption and retention.
  3. Drive customer engagement through proactive interventions and utilization-driven events tailored to regional and seasonal dynamics, using adoption, utilization, and renewal insights to refine strategies and improve outcomes.
  4. Serve as the Customer Success team champion for the Premium Precision suite, partnering with product stakeholders to stay informed on performance, priorities, and ongoing initiatives.
  5. Serve as the primary point of contact for Customer Success readiness, including onboarding, journey mapping, milestone tracking, and measuring success through establishment of Customer Success functions within dealerships and sustained utilization and renewal of SaaS solutions.

Skills

Required

  • Data Collection and Analysis
  • Action Planning
  • AI Fluency and Applied Use
  • Commercial Acumen
  • Customer and Market Analysis
  • Experience in Precision Agriculture
  • Experience with Agricultural Equipment Dealers
  • Communications

Nice to have

  • Analytical Processes
  • Customer-Focused Approach
  • Data Control
  • Questions Strategically
  • Research Methods
  • Research Specifications

What the JD emphasized

  • AI Fluency and Applied Use