Top Tech Jobs & Startup Jobs in Charlotte, NC

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Provide Tier 1 technical and administrative support to patients and providers using a virtual healthcare platform. Responsibilities include patient onboarding, troubleshooting, visit preparation, payment collection, patient tracking, prescription handling, telephone triage, HIPAA-compliant documentation, and Zendesk-based issue resolution. The role also uses AI support tools, collaborates with clinical and technical teams, and requires a rotating schedule covering evenings, weekends, and holidays.

Leads security operations and corporate IT for a healthcare technology company handling PHI. Responsibilities include incident response, application and cloud security, IAM, endpoint management, vendor reviews, security policies, compliance support for HIPAA, SOC 2, and HITRUST, and management of three direct reports. The role also builds AI-driven automation tools and workflows for IT and security operations while partnering with executives, engineers, customers, auditors, and compliance leaders.

Own the AI-powered content production engine for a healthcare website. Configure automation workflows, prompts, guardrails, templates, and HubSpot CMS publishing systems; oversee content quality, medical and legal reviews, compliance, SEO, analytics, vendor coordination, and web operations. Manage migrations, audits, redirects, performance monitoring, project workflows, and continuous process improvement across product, engineering, creative, medical, and legal teams.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

Own the lifecycle and retention strategy for B2C members and B2B partners. Build and optimize the CRM platform, launch onboarding, engagement, retention, and winback journeys, and manage email, SMS, push, and in-product programs. Lead cohort analysis, churn modeling, segmentation, experimentation, and measurement. Partner with product and customer success on notifications, renewals, and retention initiatives while establishing the lifecycle function from the ground up.

Leads national payer sales strategy for a virtual care and digital health platform. Responsibilities include building executive relationships with health plans, developing pipeline, managing complex enterprise sales cycles, negotiating strategic deals, presenting tailored value propositions, forecasting in CRM tools, using AI-enabled sales technology, and sharing market insights with product and internal teams. Requires deep payer expertise, strong quota performance, and experience selling virtual care or telehealth solutions.

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

Develop and productionize AI systems, including LLM applications, RAG, classification, summarization, NLP, speech, and conversational AI. Build Python backend services and APIs, automated evaluation and monitoring pipelines, responsible-AI safeguards, and cloud-native deployments on AWS and Kubernetes. Collaborate with product, medical, and engineering teams to optimize AI systems for latency, scale, reliability, and real-world healthcare applications.

Serve as the primary technical advisor for clients integrating with Fabric's API platform: design architectures, debug integrations, ship minor API/SDK improvements, build developer resources, and communicate changes to ensure successful headless virtual care implementations.