Regional Linehaul Operations Manager , ATS - Middle Mile
Amazon is hiring a Regional Linehaul Operations Manager , ATS - Middle Mile. Level rates it ; you can apply on Amazon.
Level's read on this job
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AI in this role
In this role, you will lead and optimize linehaul operations at a regional level, ensuring operational excellence across the full middle mile transportation process. Unlike a single-carrier or station-focused role, this position is cross-functional and regional — you will work across all carriers and programs in your region, acting as the bridge between central strategy and local execution.
You will be part of a highly collaborative, dynamic, and innovative environment where ideas are valued and experimentation is encouraged. We are looking for professionals with a strong track record of operational excellence and customer focus, who thrive in fast-moving, ambiguous environments and are ready to lead through complexity and constant change.
If you enjoy challenges and are ready to deliver results in an environment that combines the energy of a start-up with the scale of a global company, we want to meet you.
Key job responsibilities
-- Regional Operations & Performance Management --
• Lead regional linehaul operations cross-functionally across all carriers and programs in the region
• Manage performance of multiple carriers, ensuring achievement of OTP (On-Time Pickup) and OTA (On-Time Arrival) targets
• Conduct daily and weekly operational reviews, leading calls with operational teams and developing action plans for continuous improvement
• Perform Gemba walks and on-road monitoring to identify process gaps and implement corrective actions
• Communicate daily metrics and report exceptions to other operational departments
-- Carrier Management & Development --
• Coordinate onboarding, training and ramp-up of new carriers in the region, including supporting on-site audits
• Implement and scale the Amazon Excellence Program with regional carriers
• Develop strategic relationships with carriers, serving as primary point of contact for performance and problem resolution regionally/locally
-- Operational Excellence & Cost Management --
• Drive continuous improvement initiatives using Lean and Kaizen methodologies
• Identify optimization opportunities and implement solutions to improve operational efficiency
• Contribute to cost reduction initiatives through identification of regional optimization opportunities
• Support regional implementation of network optimization and routing efficiency initiatives
-- Collaboration & Leadership --
• Collaborate with central and represent regional operations in business reviews, act as bridge between central strategy and regional execution
• Serve as voice of carriers within regional operations
Basic qualifications
- Bachelor's degree or equivalent
- Work a flexible work schedule including evenings, overnights, and weekends
- Experience in managing teams
- Experience in a logistics/operations environment
- Experience in Business English skills, both verbal and written
Preferred qualifications
- Experience with performance metrics and process improvement and Lean techniques
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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How we rate this
Regional Linehaul Operations Manager , ATS - Middle Mile at Amazon rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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