Green Mountain

HQ
Memphis
457 Total Employees
Year Founded: 1999

Jobs at Green Mountain

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18 Hours AgoSaved
In-Office or Remote
Memphis, TN, USA
Logistics • Software • Analytics
Build and modify customer reports, perform parcel and transportation analyses, conduct re-rate and carrier RFP modeling, and produce savings and performance reporting. The role pulls and shapes warehouse data, supports business requirements, quality-checks deliverables, documents client interactions, and improves analytical processes. It is a development position requiring advanced Excel, early analytics experience, strong problem-solving, and willingness to learn logistics and parcel industry systems.
18 Hours AgoSaved
In-Office or Remote
Memphis, TN, USA
Logistics • Software • Analytics
Lead strategic customer relationships for parcel spend management solutions, conduct business reviews, identify transportation performance improvements, and deliver measurable value through analytics and technology. Manage, coach, and develop Solutions Engineers and Analysts while partnering cross-functionally to improve customer outcomes. The role requires transportation or supply chain experience, advanced Excel and Power BI capabilities, analytical problem-solving, and familiarity with SQL, databases, financial modeling, and business intelligence tools.
18 Hours AgoSaved
In-Office or Remote
Memphis, TN, USA
Logistics • Software • Analytics
Leads enterprise technology platform implementations and rollouts from requirements through post-launch stabilization. Responsibilities include project planning, cross-functional coordination, vendor management, customer onboarding, data migrations, UAT, deployment readiness, training, adoption tracking, risk mitigation, and process improvement. The role partners with Product, Engineering, Operations, Sales, Customer Success, customers, and external vendors while managing multiple concurrent projects.
18 Hours AgoSaved
In-Office or Remote
Memphis, TN, USA
Logistics • Software • Analytics
Leads discovery, strategy, development, launch, commercialization, and adoption of logistics-focused data, analytics, SaaS, and AI products. Conducts market and customer research, defines requirements and roadmaps, develops pricing and business cases, partners with engineering and cross-functional teams, manages product risks, and drives customer value, revenue growth, and product performance.