Top eCommerce Jobs in Madison, WI

The MTS 1, Software Engineer at eBay will design and develop scalable applications, APIs, and server-side processing while collaborating with product teams and mentoring developers.

The Staff Software Engineer will lead the Revenue Engineering team in building scalable back-end services and infrastructure for financial workflows, while mentoring engineers and ensuring high-quality code delivery.

As a Senior Product Designer, you will lead end-to-end UX design, conduct user research, create prototypes, and collaborate with teams to enhance product strategy and user experience.

Lead the Data Science team to execute complex technical initiatives, manage model development, and define strategic priorities for growth. Collaborate with cross-functional teams and maintain high standards in model validation and product delivery.

The fractional project manager will oversee the implementation of Highspot for varied cross-functional teams, ensuring timely launches, structured methodologies, and effective user adoption across multiple divisions.

The Hypercare Manager oversees the post-onboarding experience, ensuring client stabilization and managing relationships across phases while coordinating cross-functional teams to enhance merchant success.

The Quality Associate will support quality assurance and regulatory compliance in veterinary compounding, conducting audits, developing SOPs, and ensuring adherence to quality standards.

Looking for a Senior UX/UI Designer with expertise in eCommerce to create user-first experiences on platforms like Salesforce and Shopify. Responsibilities include cross-functional collaboration, crafting engaging designs, and utilizing Figma and Adobe tools.

The role involves leading e-commerce strategies, conducting analysis and A/B testing, collaborating across teams to optimize performance, and translating insights into actionable plans for clients.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.