Top Tech Jobs & Startup Jobs in Charlotte, NC

The Operations Training Specialist develops and delivers training programs, updates procedures, ensures compliance, collaborates across departments, and supports IT development for customer service and payroll operations.

Develop, integrate, and test spacecraft flight software across the full lifecycle. Implement and upgrade cFS-based applications, perform unit-to-platform verification in simulation and HIL/FlatSat environments, support integration with hardware and payloads, and participate in anomaly resolution, mission operations support, and proposal activities.

The Senior Data Engineer will own the data strategy, managing sourcing, structuring, and optimizing multimodal data to enhance AI models and products.

The Technical Account Manager will lead customer technical projects, provide architecture guidance, ensure product adoption, and serve as a trusted advisor to enhance customer success and satisfaction.

Build full‑stack vertical slices for a mission-critical legacy modernization using agentic AI tools. Lead frontend UX with React/TypeScript, maintain component library and accessibility, implement Node APIs and Prisma/Postgres schemas, deploy AWS infrastructure, and ensure quality via TDD, CI, and Playwright while shipping small, continuous releases.

Lead two engineering squads building Breezeway's property operations product. Hire, coach, and grow engineers; own planning, delivery, and cross-squad coordination; set technical direction, architecture guidance, and engineering quality; partner with Product and Design to translate roadmap into executed work.

The Tax Manager leads tax planning and compliance for gifts, estates, and trusts, advising high-net-worth clients, developing staff, and managing relationships.

Lead and develop a team of business development reps, translate executive strategy into actionable plans, manage national DME accounts, and drive revenue growth.

Develop new business opportunities and partnerships in the real estate sector, focusing on relationship management and revenue growth while collaborating with internal stakeholders.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.