Top Tech Jobs & Startup Jobs in Charlotte, NC

Provide high-level executive support to the US Head of Data and AI and floater support to senior US leaders. Manage complex calendars, coordinate domestic and international travel, prepare/edit presentations and correspondence, handle expenses, and maintain discretion in a fast-paced private equity/consulting/tech environment.

The Principal Quality Automation Architect will design and scale an automated quality framework, improve test strategies, and enhance collaboration with engineering teams.

The Application Architect will define design patterns, architecture standards, and ensure scalable solutions, while guiding teams and mentoring engineers for quality and maintainability in applications.

The Data Architect role involves defining data models, ensuring data integration and governance, and collaborating with teams to support analytics capabilities.

The AI Operations Associate monitors AI-driven workflows, investigates incidents, supports operational controls, and recommends improvements to maintain workflow reliability and safety in finance environments.

The AI Support Analyst provides technical assistance for AI tools, resolves user issues, and supports training and adoption initiatives across the firm.

The Finance Domain QA Lead ensures software solutions validate finance workflows, guides QA processes, and translates finance expectations into acceptance criteria.

The Senior Quality Engineer validates software features, executes various tests, supports release readiness, and improves continuous testing processes.

The AI Quality Associate evaluates AI outputs for quality, develops benchmarks and rubrics, validates workflows, and collaborates with finance experts to ensure high-quality AI-assisted outputs.

Lead end-to-end delivery of modern data platforms for private equity clients: manage scope, schedule, budget, and multi-workstream agile teams; enforce medallion/lakehouse architectures, data quality, CI/CD, and governance; oversee Snowflake and Azure data services; act as primary client executive, manage SOWs and staffing, and enable repeatable delivery playbooks. Drive measurable business outcomes and platform stability, security, and cost efficiency.