Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead and grow a data science team focused on customer intelligence, personalization, product analytics, marketing optimization, and customer lifetime value. Develop predictive and segmentation models, analyze web and mobile engagement, design experimentation programs, and apply causal inference, survival analysis, forecasting, Bayesian methods, NLP, and machine learning. Partner with Product, Marketing, Editorial, Data Operations, and Engineering to translate customer behavior into scalable products, actionable recommendations, and measurable business impact.

Manages and grows mid-market client accounts by building trusted relationships, identifying revenue opportunities, developing account strategies, and ensuring client satisfaction. The role involves presenting products and services, resolving issues, forecasting revenue, collaborating with internal teams, and delivering risk management solutions to financial institution clients. Travel by automobile or air is required to visit designated top and prospective clients.

Own a $50M+ paid media portfolio across Meta, Google, Amazon, Walmart, TikTok, and future channels. Lead capital allocation, incrementality testing, geo-holdouts, and live MMM-based measurement while improving CAC, contribution margin, LTV, and profitable growth. Build and develop a strategic media team, guide creative partnerships, expand internationally and into retail media and CTV, and provide cross-functional executive leadership without serving as the primary channel operator.

Participate in a 20-minute remote, AI-moderated study evaluating early concepts for qualitative research analysis tools. Review design mockups, compare proposed workflows with current research synthesis methods, and provide candid feedback on usability and product fit. The study is intended for UX researchers, product managers, product designers, and consumer insights professionals with hands-on experience analyzing qualitative research findings.

Leads cross-studio art business operations by maintaining visibility into capacity, utilization, assignments, availability, demand, and project transitions. Aligns studio supply with Business Development opportunities, supports RFP staffing scenarios, establishes operating cadences, coordinates partner integration, identifies risks, and escalates bottlenecks. Provides leadership reporting and develops a scalable operational model across regions while avoiding direct staffing, account ownership, commercial negotiation, or day-to-day production responsibilities.

Write timely, original articles about network television shows in ScreenRant’s house style. Responsibilities include researching, fact-checking, formatting, linking, sourcing and lightly editing images, pitching content ideas, incorporating editorial feedback, and communicating with the team. The role requires expertise in specified television franchises, coverage of shows on major U.S. networks, strong grammatical and English-language skills, rapid turnaround, and comfort working remotely as a freelance contributor.

Lead onboarding and product discovery for utility customers: run and systematize onboarding, translate customer workflows into product requirements, prioritize features, write MRDs/PRDs/TRDs, coordinate cross-functional delivery, and create repeatable processes to turn pilots into scalable deployments.

Lead product ownership for the Commerce platform: manage backlog, translate strategy into epics/features/user stories, prioritize initiatives, define roadmap, liaise with stakeholders and engineering, and produce executive reporting and KPI dashboards to drive delivery and product performance.

Lead architecture, development, integration, migration, deployment, and troubleshooting for Dynamics 365 Customer Service and Power Platform solutions. Support Genesys-to-Microsoft contact center modernization across multiple call centers, queues, agents, and business units. Build plugins, APIs, workflows, customizations, Power Apps, and automations; design Azure integrations; manage data migration and ALM practices; conduct architecture and code reviews; and mentor developers.

Lead architecture and delivery of complex cloud, data, and AI/ML systems. Define technical strategy, design scalable multi-cloud platforms, data pipelines, MLOps and LLM applications, and establish infrastructure, DevOps, security, governance, and observability standards. Partner with clients and leadership, resolve high-stakes integration challenges, mentor senior engineers, guide technology decisions, and lead cloud modernization initiatives.