Category Management Associate — Own Your Product Line

Uline Inc.; Pleasant Prairie (WI); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health insurance

401(k) with 6% match

Tuition assistance

Paid holidays

Job summary

Uline seeks an Associate Category Manager in Pleasant Prairie, WI to own a product category within our vast catalog of business products. You will drive vendor relationships, lead negotiations, and guide a team of Product Management Analysts to deliver catalog and digital strategy excellence.

You will travel to trade shows and vendor visits as needed, collaborating with cross-functional teams to improve profitability, product quality and data accuracy, while supporting development of new

Qualifications

• Bachelor's degree required.
• 3+ years of experience in Category Management, Supply Chain or Marketing.
• Willingness to travel for trade shows and vendor visits.

Responsibilities

• Own your assigned product category from Uline's extensive catalog of business products.
• Support new product development by researching and sourcing products and vendors.
• Visit vendors to understand manufacturing processes and attend trade shows to stay ahead of industry trends.
• Lead vendor negotiations to build strong partnerships.
• Collaborate with Creative and Purchasing teams on catalog and digital strategies.
• Contribute to profitability, product quality and data accuracy.
• Mentor and support Product Management Analysts to foster growth.

Skills

Category Management

Supply Chain

Marketing

Travel

Education

Bachelor's degree

Job description

Uline seeks an Associate Category Manager in Pleasant Prairie, WI to own a product category within our vast catalog of business products. You will drive vendor relationships, lead negotiations, and guide a team of Product Management Analysts to deliver catalog and digital strategy excellence.

You will travel to trade shows and vendor visits as needed, collaborating with cross-functional teams to improve profitability, product quality and data accuracy, while supporting development of new