Top eCommerce Jobs in Detroit, MI

The SVP of Marketing will lead demand generation strategies across DTC, e-tail, and retail channels, ensuring alignment and accountability. Responsibilities include managing the marketing mix, overseeing campaign execution, driving e-tail performance, and collaborating with cross-functional teams to achieve revenue targets.

The Senior Financial Analyst will lead financial planning processes, support decision-making, and improve forecasting tools while collaborating with various teams.

The Agency Partner Manager builds and oversees agency partnerships, drives revenue growth, conducts enablement sessions, coordinates with internal teams, and handles partner inquiries.

The Senior Solutions Architect will bridge government partnerships and product teams, translating state needs into product strategies, and managing campaign delivery with a focus on execution and technical aspects.

The Account Expert role focuses on customer success by onboarding clients, developing strategies, providing guidance, and enhancing engagement to drive e-commerce revenue.

The Controller will lead the transition from cash basis to accrual accounting, manage financial audits, and oversee the migration to NetSuite. Responsibilities include maintaining financial statements, building internal controls, and improving processes.

Lead workshops and gather business requirements for SAP Commerce (Hybris) implementations. Create functional documentation (user stories, process flows, acceptance criteria), support QA/UAT, map business needs to Hybris solutions, and coordinate between clients, technical, strategy, and creative teams while managing Confluence and Jira collaboration spaces.

The Growth Marketing Manager at Portless will manage the marketing funnel, drive revenue through channel optimization, and automate workflows, collaborating across teams.

The Technical Lead will manage Shopify website delivery, lead engineering efforts, provide technical guidance, ensure quality standards, and mentor team members.

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.