Top Healthtech Jobs in Charlotte, NC

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.

Lead product marketing for modern MFA, passwordless and intelligent access solutions. Build positioning, GTM strategy, launches, sales enablement, competitive messaging, and market insights to drive adoption among CISOs and enterprise buyers.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Serve as the senior HRIS individual contributor managing Workday configuration, integrations, data security, reporting, and system controls. Translate business requirements into scalable HR technology solutions, lead HRIS projects end-to-end, support recurring People programs, audit and monitor data and integrations, and provide training and subject-matter expertise to HR, Payroll, Finance, IT, and business stakeholders.

Build and deliver full-stack features for a web-based broker platform, collaborate with product and design, manage technical debt, shape architecture for scalability, participate in code reviews, and adopt AI-powered developer tools.

The Senior Director of Client Management will drive client strategy, build relationships with executive partners, and collaborate with internal teams to enhance client engagement and drive partnership success in the healthcare tech industry.

Lead product analytics efforts by designing and evaluating experiments, building dashboards, and producing statistical insights. Partner with product, design, and engineering to measure product success, identify optimization opportunities, and embed ML-driven personalization into the product.

Own SQL and dbt-based data modeling and data quality for clinical and claims datasets. Author and refactor dbt models/tests, triage DQ alerts, design monitors, optimize SQL performance, and collaborate with Data Engineering and stakeholders to ensure trusted production datasets.

Lead full-cycle technical recruiting for Engineering, Data, and Product roles. Build proactive sourcing pipelines, partner with hiring managers, maintain ATS data integrity in Greenhouse, and deliver candidate assessment and hiring insights to accelerate talent acquisition.

Build and own analytics and AI-driven reporting for Care Partnerships. Create self-service insights, predict partner health, prioritize outreach, instrument experiments and launch analytics infrastructure to scale referrals and partner relationships.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.