Top Tech Jobs & Startup Jobs in Charlotte, NC

Senior Quality Assurance Engineer responsible for manual and automated testing across web and mobile platforms. The role develops test strategies, frameworks, test plans, regression suites, and AI-assisted tooling; debugs and tracks defects; and collaborates with engineering, product, design, and support teams to improve software quality.

Lead enterprise software architecture and full-stack development across operations, supply chain, finance, commercial, and digital functions. Design scalable cloud-native platforms, API-first and event-driven integrations, and resilient enterprise systems using AWS and modern engineering practices. Advise on technology strategy, improve software quality and operational excellence, and mentor engineers. Partner with business and technical leaders to deliver supply chain, procurement, CRM, ERP, and e-commerce capabilities at scale.

Build and deploy production AI/ML and GenAI systems across the full model lifecycle. Develop RAG pipelines, LLM integrations, data pipelines, labeling workflows, evaluation frameworks, and MLOps infrastructure. Apply AI to manufacturing, computer vision, predictive maintenance, supply chain, forecasting, inventory, supplier risk, and logistics. Collaborate with engineering, manufacturing, and operations teams to deliver measurable business outcomes.

Build and deploy production AI/ML features across the model lifecycle, including GenAI systems, RAG pipelines, data pipelines, evaluation infrastructure, and MLOps. Apply machine learning to manufacturing, supply chain, computer vision, predictive maintenance, forecasting, inventory, and logistics problems. Collaborate with engineering, manufacturing, and operations teams to deliver measurable outcomes.

Own end-to-end delivery of enterprise technology programs, including planning, risk management, integrations, process documentation, change management, stakeholder alignment, and executive reporting. The role partners with business and technical teams, supports technology roadmaps, standardizes PMO practices, facilitates governance, and manages system implementations from requirements through hypercare in a fast-paced automotive startup environment.

Supports corporate FP&A and G&A business partners through forecasting, budgeting, headcount planning, KPI reporting, variance analysis, and financial decision support. The role contributes to annual planning, monthly forecast cycles, close support, and improvements to planning tools and processes, including Workday Adaptive Planning. It requires translating financial data into actionable insights and building trusted relationships with department leaders.

Supports corporate FP&A through Workday Adaptive Planning by developing dashboards, variance reports, forecasts, and consolidated reporting. Maintains planning structures, assumptions, hierarchies, and versions; manages forecast inputs for expenses, margins, headcount, and capital expenditures. Partners with Finance and cross-functional teams to define requirements, improve financial systems, support ERP integrations, ensure data quality, and contribute to monthly and quarterly reporting packages.

Lead frontend architecture and implementation for Slate's digital customer experience. Drive design, code, testing, and delivery across web and mobile, mentor engineers, collaborate with UX/product, and make long-term technical trade-offs to ensure reliability and scalability.

Designs and improves the legal department’s operating model, including intake, triage, marketing review, contract management, knowledge management, and e-billing. Leads legal technology selection and implementation, develops playbooks and self-service resources, builds performance dashboards, supports budgeting and strategic planning, and coordinates cross-functional initiatives with Finance, IT, Marketing, executives, vendors, and outside counsel.

Leads Slate’s GenAI strategy, architecture, and production deployment across vehicle engineering, manufacturing, supply chain, software, and go-to-market operations. Owns enterprise-scale GenAI platforms, agentic systems, data and context layers, model serving, evaluation, guardrails, and observability. Applies physical AI to robotics, computer vision, predictive maintenance, and factory feedback loops. Recruits and develops a high-performing technical team while remaining hands-on with coding, architecture, stakeholder engagement, and technical standards.