Webb Legacy Logistics LLC

Webb Legacy Logistics LLC

Amazon DSP Delivery Driver

Texarkana, AR, United States · Part-time

Sponsorship not specifiedDetected 8 days ago
LogisticsCustomer SupportSignal ProcessingTime Management

About the role

  • Webb Legacy Logistics LLC is an Amazon DSP operating out of Amazon Warehouse WKN3.
  • Location Address: WKN3 at 4400 East 19th Street, Texarkana, AR.
  • Join our team and find a rewarding career!

Responsibilities

  • Join Webb Legacy Logistics LLC, an Amazon Delivery Service Partner, as a Delivery Driver.
  • Safely operate an Amazon delivery van to transport and deliver packages
  • Load, unload, and deliver packages up to 50 lbs to customers' doorsteps

Nice to have

  • Follow GPS routes and delivery instructions using a handheld device
  • Physically step in and out of delivery van 200 times per day.
  • Work independently while staying active on your route
  • Provide excellent customer service while representing Amazon with professionalism
  • Adapt to traffic, weather, and route changes while maintaining safety standards
  • Commit to safety practices while driving and handling products
  • Must be at least 21 years of age
  • Valid driver's license and clean driving record

Benefits

  • Health, dental, vision, 401(k) with match, paid time off, tuition reimbursement, referral bonuses
  • Flexible Scheduling: Full-time & part-time positions available

Company info

  • As a Delivery Driver with us, you will play a crucial role in ensuring our customers receive their orders on time and safely.
  • Amazon-branded van - no CDL required
  • We are looking for reliable, energetic team players to deliver Amazon packages with care and efficiency.
  • As a DSP, we operate independently but work closely with Amazon to ensure timely and professional deliveries to customers' doors.
  • Excellent time management skills and the ability to work independently or as part of a team.

This listing is sourced directly from Webb Legacy Logistics LLC's careers page and normalized into a canonical job model.