Mining Aftermarket Growth Lead – Customer Support

Mining Aftermarket Growth Lead – Customer Support

Full-Time 82800 - 101200 $ / year (est.) On-site
W

At a Glance

  • Tasks: Lead the Mining Sales Group and drive aftermarket growth while enhancing customer relationships.
  • Company: Join WesTrac, a leader in mining solutions with a strong focus on customer support.
  • Benefits: Relocation assistance, housing, vehicle provision, and competitive salary.
  • Other info: Exciting opportunity to work in Tom Price with great career advancement potential.
  • Why this job: Make a real impact in the mining industry while developing your leadership skills.
  • Qualifications: Experience in customer support and strong relationship-building skills required.

The predicted salary is between 82800 - 101200 $ per year.

Wes Trac seeks a Customer Support Manager to lead the Mining Sales Group at our Tom Price branch.

You will drive aftermarket growth, strengthen customer relationships and deliver value across parts, rebuilds, technology and service solutions.

You will collaborate with cross-functional teams, manage CRM data and forecasts, and ensure timely resolution of technical and commercial issues.

Relocation to Tom Price is provided with housing and a vehicle.

#J-18808-Ljbffr

Mining Aftermarket Growth Lead – Customer Support employer: WesTrac Cat

WesTrac is an exceptional employer that prioritises safety, quality, and employee development within a collaborative work culture. Located in South Guildford, our Parts Distribution Centre offers unique opportunities for growth and innovation, allowing Mechanical Engineers to contribute to meaningful projects while enjoying a supportive environment that values compliance and continuous improvement.

W

Contact Details:

WesTrac Cat Recruitment Team

We think you need these skills to ace Mining Aftermarket Growth Lead – Customer Support

Customer Relationship Management (CRM)
Sales Management
Aftermarket Growth Strategies
Technical Support
Commercial Issue Resolution
Cross-Functional Collaboration
Data Management