Top Tech Jobs & Startup Jobs in Charlotte, NC

The role involves sourcing new business for 1031 QI services, building client relationships, and facilitating tax-deferred exchanges while working independently and leveraging industry knowledge for client satisfaction.

Design, implement, and support enterprise physical security systems (video surveillance, access control, sensors, IoT). Consult with clients, develop technical architectures, configure and test systems, troubleshoot hardware/software, manage projects, run design workshops, and support sales and delivery. Travel 25-50% and perform hands-on installations and network-integrated solutions.

Lead advanced analytics for countrywide insurance product programs: build dashboards and monitoring frameworks, conduct deep-dive analyses and predictive modeling, identify systemic process and data gaps, partner with product and cross-functional teams, and influence strategic decisions to improve growth, retention, and profitability.

Provide advanced L2 technical support for Runpod customers: troubleshoot escalated issues, analyze logs and code, use scripting and diagnostics, liaise with engineering and infra teams, create documentation and training, and deliver multi-channel support including weekend availability.

Lead end-to-end Revenue Operations for a high-growth B2B SaaS company: build GTM operating model, own forecasting and analytics, manage GTM systems (Salesforce/CPQ/marketing automation), drive AI automation, enable cross-functional alignment, and deliver executive revenue insights to scale enterprise sales.

Develop and maintain software applications on the ServiceNow platform, perform integrations, troubleshoot issues, and communicate with clients.

Lead a cloud-focused full-stack engineering team to design, build, and operate scalable, high-availability web platforms and APIs. Mentor engineers, improve architecture and test coverage, ship features in React/AWS container environments, and drive observability and resilience.

Lead technical sales cycles for enterprise AI agent deployments: discovery, solution design, demos, POVs, and technical close. Advise on agentic stacks (Databricks, Snowflake), design POVs with success criteria, build technical champions, run architecture reviews, and align technical strategy with commercial goals to drive revenue growth.

Design, build, and operate cloud-native, enterprise-grade SaaS services on Azure. Lead architecture and design, develop APIs and UIs, apply AI-enabled engineering tools, ensure observability, support production incidents, and drive reliability, performance, and CI/CD improvements across teams.

Guide aspiring insurance agents through state licensing by managing a large pipeline, communicating requirements, maintaining MS Access records, making inbound/outbound calls, and updating supervisors and agency partners on progress and changes.