Top Tech Jobs & Startup Jobs in Charlotte, NC

Own FP&A processes supporting Sales and Go-To-Market leadership, including financial reporting, forecasting, pipeline and bookings analysis, sales capacity modeling, quota and compensation planning, variance analysis, and strategic projects. Develop financial models and improve process automation using Excel, Workday Adaptive Planning, CRM data, and AI productivity tools. Partner with executives to translate financial data into actionable business insights.

Design, architect, develop, test, and support scalable full-stack applications for a data catalog platform. Own features end to end, contribute to technical strategy and roadmaps, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Build multi-tenant systems supporting high data volumes and near-real-time analytics while applying AI-assisted development practices.

Drive enterprise software sales across named Federal, Department of Defense, and aerospace and defense accounts. Develop territory plans, generate pipeline, close new business, expand existing accounts, build executive relationships, manage complex sales cycles, collaborate with marketing and sales engineering, leverage partners, and maintain forecasts in Salesforce CRM. The role is fully remote in the Mid-Atlantic US and requires approximately 25% travel.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Design, architect, develop, test, and support scalable full-stack applications for a high-volume, multi-tenant data platform. Own features from design through delivery, contribute to technical strategy and roadmap development, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Apply cloud-native technologies and AI-assisted development practices while supporting near-real-time analytics and reliable production operations.

The Principal Software Engineer will lead the development of Node-based applications, ensuring alignment with business goals and mentoring engineers. Responsibilities include designing scalable systems, managing product requirements, and utilizing AI tools for software development.

Leads go-to-market strategy and commercial operations for enterprise software, including GTM architecture, segmentation, launches, partner plays, planning, territory design, compensation, performance reporting, Deal Desk, Quote-to-Cash automation, and AI-enabled workflows. Builds and leads cross-functional teams, advises the CBO, and aligns Sales, Marketing, Product, Partners, Services, Finance, and IT to improve revenue execution.

The Senior Sales Operations Manager partners with Sales leadership to improve forecasting, pipeline health, revenue execution, CRM discipline, reporting, and sales productivity. Responsibilities include managing forecasting cadences, analyzing complex datasets, building Salesforce and BI dashboards, improving sales processes and data quality, supporting executive business reviews, and coordinating cross-functional GTM initiatives. The role also uses AI-enabled tools and automation to enhance reporting, analysis, decision-making, and operational efficiency.

Sell Precisely’s Data Integrity SaaS solutions throughout the Northeast territory. Responsibilities include generating pipeline and revenue, managing complex sales cycles, expanding existing accounts, developing client relationships, collaborating with marketing and sales engineering teams, leveraging channel partners, forecasting territory performance in Salesforce, and supporting regional sales strategy.

Lead delivery and adoption of an AI-enabled PMO across Professional Services: own program end-to-end, identify high-impact AI use cases and ROI, deliver billable client engagements, enable and train teams, govern AI outputs, and run program cadence including backlog, reporting, and stakeholder alignment.