Top Tech Jobs & Startup Jobs in Charlotte, NC

The SAP IBP Analyst will optimize supply chain planning processes in e-commerce, focusing on SAP IBP modules, system integrations, and stakeholder management.

The Senior Data Engineer will design and optimize data pipelines, support MLOps initiatives, collaborate with teams, and ensure data quality for AI/ML projects.

The Senior Designer II will lead high-impact design initiatives for an e-commerce platform, focusing on strategic design, user experience, and mentorship of design teams.

The Enterprise Solutions Architect will design and modernize iHerb's business applications, focusing on Order-to-Cash and Supply Chain, and ensuring technology strategies align with business needs.

Senior Director responsible for leading and scaling global ecommerce operational teams (content, localization, onboarding). Drives operational strategy, process optimization, AI-enabled automation, KPIs, governance, and cross-functional workflows to improve efficiency, scalability, and execution across Commercial Operations.

The Growth Marketing Specialist will execute and optimize paid media campaigns across EU markets, monitor performance, and manage campaign operations.

Lead growth strategy and experimentation across web, app, and owned channels to improve acquisition, conversion, retention, and LTV. Drive CRO, run A/B and multivariate tests, prioritize product roadmaps, work with Engineering, Data, and Marketing, and communicate results to stakeholders.

Lead AI-driven personalization and recommendation product strategy for e-commerce. Define roadmaps, analyze data and A/B tests, collaborate with engineering, data science, UX, and marketing, and drive implementation of generative AI features to improve discovery and conversion.

The SAP TM Analyst will optimize SAP Transportation Management processes, manage system enhancements, ensure data integrity, and lead testing and training efforts.

Design and scale machine learning systems and infrastructure, partner with data and applied scientists, build reusable ML pipelines and abstractions, ensure production readiness using robust software engineering practices, and prototype new technologies to improve customer experience and automate business processes.