Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead media planning strategy and team development for a retail media network. Own long-range planning, ensure plan quality, build templates and tooling requirements, collaborate with Sales, Analytics, and Product, and manage hiring, performance, and cross-functional influence to drive commercially aligned media plans and measurable advertiser outcomes.

The Manager of Analytics oversees a team to deliver impactful analytics and insights, supports business decisions, and integrates AI applications in analytics. They also manage testing portfolios and develop actionable insights for marketing strategies.

Lead vision, strategy, and roadmap for marketing and media analytics products. Partner cross-functionally to build measurement, attribution, audience analytics, experimentation, forecasting, and reporting capabilities. Define data requirements, evaluate external partners, drive adoption, and measure business impact tied to media investment and marketing outcomes.

Lead and grow a team of software engineers building custom and SaaS solutions for Vertical Brands. Partner with Product and Design to deliver roadmap initiatives, ensure technical excellence, manage delivery and resources, drive data-driven product improvements, and mentor engineers to build capabilities and high-performing culture.

Lead creation and governance of target-state integration architecture and blueprints across ERP, supply chain, digital, data, and HCM domains. Guide solution architects, define standards and patterns, review designs, advise leadership, and ensure implementation aligns with enterprise strategy and integration objectives for large-scale transformation efforts.

The Project Manager is responsible for overseeing all aspects of the new store opening process, ensuring timely and budget-compliant openings while maximizing productivity.

Lead Digital Fraud product roadmap and delivery to detect, prevent, and respond to fraud across the order lifecycle. Partner with engineering, analytics, payments, loss prevention, and vendors to define KPIs, build features (pre-authorization checks, device signals, chargeback automation), run experiments, manage backlog, and ensure operational resilience while balancing conversion and customer experience.

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.