Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead architecture and scaling of cloud-native infrastructure to support large AI workloads. Mentor engineers, decompose complex systems, design foundational platform services, and collaborate with product, research, and security teams to ensure secure, performant, and highly available GPU/ML infrastructure.

Technical leader for Platform & Infrastructure building scalable, resilient cloud-native systems to support large AI workloads. Define architecture, mentor engineers, solve systemic infrastructure bottlenecks, design foundational platform services, and collaborate cross-functionally to ensure secure, high-performance operations.

Lead HR Operations for North America, owning HRIS, workflows, policy translation, employee lifecycle processes, contractor populations, and sensitive employee relations. Improve systems, introduce AI/automation, manage and develop junior HR Ops staff, partner cross-functionally, and drive strategic projects to scale operations for rapid growth and M&A integration.

Partner with business leaders to design and execute tailored people strategies, organizational design, change management, and retention plans across product teams. Drive high-impact, pragmatic solutions from structural redesigns to localized interventions, inform company-wide people programs, and eventually build and lead a People Partner function.

The Director of Product Management for AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, focusing on innovative AI solutions and close collaboration with financial services clients.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

The role involves managing the ML lifecycle, developing scalable ML systems, and collaborating on AI-first product solutions focusing on Large Quantitative Models.

The Senior Backend Engineer will develop core functionalities for AI-driven drug discovery, collaborating with R&D and product teams, managing infrastructure, and ensuring engineering excellence.

The Senior Forward Deployed Engineer will deploy and validate AQNav systems, drive success during tests, communicate with stakeholders, and bridge operations with research and engineering.