Top Tech Jobs & Startup Jobs in Charlotte, NC

Researches and implements quantum-resistant cryptographic solutions, including NIST-standardized post-quantum algorithms. Assesses enterprise cryptographic systems for quantum vulnerabilities, develops migration and crypto-agility strategies, and integrates quantum-safe security with PKI, TLS, VPNs, cloud platforms, and applications. Performs testing, benchmarking, interoperability validation, and security analysis while producing architecture guidance, inventories, risk assessments, and modernization roadmaps. Collaborates with technical teams and leadership to support organizational post-quantum readiness.

Owns the end-to-end development of cybersecurity vulnerability and exploit prediction models, including problem framing, feature engineering, training, evaluation, deployment, calibration, monitoring, and drift detection. The role addresses extreme class imbalance, hierarchical modeling, cold-start customers, and uncertainty quantification. It also requires explaining model outputs to security executives, publishing methodologies and benchmarks, and partnering with engineering to deploy reliable production systems.

Own budgeting, forecasting, reporting, variance analysis, long-range planning, financial modeling, pricing analysis, and portfolio performance insights for the AccessOne business. Partner with Deal Desk, Customer Success, Product, Finance, and senior leaders to evaluate commercial decisions, improve pricing governance, support strategic initiatives, and strengthen financial processes and reporting.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.

Lead Dynamics 365 Finance and Operations supply chain and warehouse implementations, including requirements gathering, solution design, configuration, data migration, testing, training, go-live support, and troubleshooting. Configure procurement, inventory, sales, warehouse processes, pricing, and order management. Manage client relationships, facilitate showcases, perform gap analyses, document functional designs, and mentor junior consultants. The role requires significant distribution industry experience and up to 50% travel.

Lead and build BROADMIND's operations: create scalable processes, ensure legal/regulatory compliance, oversee day-to-day operations, analyze data to guide decisions, negotiate contracts, identify growth and partnership opportunities, and shape company culture while working closely with the CEO and executive team in a hands-on, zero-to-one environment.

Manage enterprise customer relationships for a SaaS platform, serving as the primary contact, conducting business reviews, developing success plans, monitoring customer health, driving retention and advocacy, analyzing ROI, and reporting success metrics. Collaborate with internal teams to resolve issues, gather product feedback, and support customer growth. The role requires strong SaaS knowledge, CRM proficiency, team leadership experience, and 25–40% travel.

Administer and optimize SQL Server and MongoDB environments across Azure and on-premises platforms. Responsibilities include performance tuning, capacity planning, high availability and disaster recovery, security and compliance, backup and recovery, migration support, monitoring, troubleshooting, and automation using T-SQL and PowerShell. The role also manages MongoDB Atlas clusters, database replication, indexing, query optimization, and operational improvements.

Develops new business for wire drawing materials and lubricants, provides technical customer support, supports sales through customer visits and consulting, researches markets and competitors, and maintains CRM records. The role covers Michigan, Ohio, Indiana, Illinois, Texas, and Florida, with 50–60% travel within the assigned district and elsewhere in the United States as needed.

Design, build, and deploy production agentic AI systems for internal operations and client-facing services. Own AI architecture, agent orchestration, integrations, deployment pipelines, governance, monitoring, and continuous improvement. Develop productized AI offerings, evaluate emerging platforms and LLMs, define KPIs, and connect deployments to measurable business outcomes. Collaborate with executive and engineering teams while establishing the foundation for a scalable AI practice.