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. “Working on the Grainger Product team means I get to solve mission critical issues that move the entire business forward,” says Dahlia Block, Software Engineer, Product and Platform Engineering. Ryan Chamberlin, Manager of Product Engineering agrees, “Grainger is committed to continuous improvement and innovation, which creates exciting opportunities for employees to learn and grow.”
Grainger
Teams at Grainger
Product in Chicago
Grainger AI & Machine Learning Team in Chicago
We are designing, delivering, and operating the digital experiences, tools, and information assets that solve customers’ problems. Our scale presents complex and interesting engineering challenges that are solved by technologists at the top of their game. Alan Cooney, Senior Manager of Applied Machine Learning shares, “Over the past few years, we have integrated ML into many aspects of our customer interactions- all with a focus of making the experience better for our customer’s." David Brenner, Director of Product Management shared similar sentiments, stating, “Grainger’s purpose: We Keep The World Working® is apparent in the way we design, deliver, and operate digital experiences, tools, and information that solve customers’ needs."
Recently posted jobs
eCommerce • Information Technology • Retail • Industrial
Leads a team of 10–12 inside sales representatives to exceed revenue and profitability goals. Responsibilities include coaching, performance management, territory planning, account coverage recommendations, market analysis, pipeline forecasting, and seller development. The manager reports to the Regional Sales Vice President and supports medium-sized B2B customers through strategic sales execution. Travel is estimated at less than 10%.
eCommerce • Information Technology • Retail • Industrial
Lead development of scalable search-platform software focused on product-catalog relevance. Design lexical and semantic retrieval, hybrid ranking, reranking, and learning-to-rank systems; evaluate quality through offline metrics and online experiments. Partner with Data Science, Product, Analytics, and Architecture teams on embeddings, relevance measurement, and technical solutions. Maintain production systems, resolve issues, mentor engineers, conduct code reviews, and promote continuous delivery and engineering best practices.
eCommerce • Information Technology • Retail • Industrial
Manage approximately 30–35 manufacturing accounts and $2–$3.5 million in annual business. Drive sales growth through customer relationship management, account penetration strategies, business reviews, managed inventory support, market analysis, forecasting, pipeline development, and solution-based selling. Travel to each assigned customer at least monthly while responding to changing needs and identifying opportunities to increase profitable sales.
