Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead design and maintenance of scalable test automation frameworks and end-to-end integration tests. Build automated suites (Playwright/C#, Java, Test Sigma), integrate tests into CI/CD, reduce flakiness, analyze test results, triage defects, and drive risk-based testing and modern QA practices across engineering and product teams.

Lead day-to-day patient, order, and document loading across suppliers and transitions. Establish SOPs and quality standards, manage backlog and SLAs, build dashboards, drive root-cause fixes and automation, and hire/coach a team of data specialists to scale loading accuracy and throughput.

Lead end-to-end implementations for payer and health system partnerships, driving multi-state launches from planning through post-launch review. Coordinate cross-functional teams, develop implementation plans and timelines, manage risks and scope changes, analyze readiness and outcomes, and document scalable processes and playbooks to ensure timely, high-quality go-lives.

Own end-to-end modeling for vendor matching, order routing, and supply-chain optimization. Build predictive, causal, RL and OR solutions; design autonomous decision logic; quantify counterfactual impact; ship production models with data engineering; mentor senior data scientists; write technical design docs; partner on quarterly priorities and expand into revenue cycle and finance domains.

Lead and build a data science organization to create a prediction engine for vendor matching, order routing, and supply chain optimization. Anchor projects to P&L, design measurement and experiment frameworks, ship rapid wins, hire and coach data scientists, work hands-on in modeling and technical design, partner with product and engineering (Snowflake), and evolve systems toward agentic AI while reporting impact in dollar terms.

Build, ship, and own end-to-end ML models for vendor matching, order routing, and supply-chain optimization. Partner with data engineering to productionize models, quantify impact, document work, and implement decision logic components toward agentic AI in a fast-moving healthcare startup environment.

Own and deliver reliable, secure software in a regulated healthcare environment. Drive solutions from ambiguity to production, build automation to reduce developer toil, mentor engineers, champion AI-assisted coding, and optimize database performance and schemas.

The Engineering Manager will lead a team of engineers to develop and maintain software solutions, collaborate with various teams, and implement CI/CD practices. They will also mentor engineers and influence organizational technology strategies.

Manage relationships and performance of a network of DME vendor partners, monitor SLAs and metrics, onboard and integrate vendors, resolve escalations, maintain compliance and documentation, develop vendor scorecards and pricing strategies, and collaborate cross-functionally to improve workflows and network reliability.