Grainger

Grainger

Chicago, IL
26,000 Total Employees
4,000 Local Employees
Year Founded: 1927

Teams at Grainger

Team

Welcome to Grainger

At Grainger, team members are always experimenting and discovering new ways to use technology to connect maintenance, repair and operations (MRO) customers to the products they need to keep their business up and running and their people safe. “I feel lucky to be part of an organization that embraces learning and collaboration as strengths,” said Manager, Product Engineering Rachel Trana. “To have colleagues and leaders who support each other and have a commitment to excellence in how we deliver innovative solutions is inspiring.” Senior Product Manager Ling Ouyang agrees, “My teammates and I are encouraged to experiment with new technologies and develop solutions like visual search, which can help users more easily find products.”

Learn More

Search the 24 jobs at Grainger

Recently posted jobs

eCommerce • Information Technology • Retail
The SAP BASIS Engineer will be responsible for building and configuring Hybrid IT systems, automation, scripting, configuration management, infrastructure standards, monitoring, and providing escalated support for SAP Applications. The role requires expertise in managing SAP workloads on Cloud, experience with various SAP applications, and proficiency in Ansible, Terraform, GitHub, and Linux OS.
eCommerce • Information Technology • Retail
Lead the Information Security Business Continuity Management and Disaster Recovery team in alignment with security strategy and regulatory obligations. Manage and execute the BCM/DR program in collaboration with Information Security teams and stakeholders. Develop and execute ransomware recovery and distribution center recovery strategies. Lead key operational and program metric reporting. Integrate with other Infosec organizations for optimal efficiency and strategy.
eCommerce • Information Technology • Retail
Manager of Applied Machine Learning to build ML models for customer insights and sales effectiveness. Work with product managers, engineers, and data scientists to create scalable ML solutions. Requires a Master's degree and experience in machine learning, cloud-based technologies, and data analytics.