Top Tech Jobs & Startup Jobs in Charleston, SC

This role involves designing and developing scalable web applications, leading projects, mentoring engineers, and ensuring quality through best practices and collaboration.

The Clinic Assistant facilitates patient check-ins, appointment scheduling, and co-pay administration while ensuring excellent customer service and maintaining accurate patient information.

Lead OuterSignal's customer experience function: own strategic enterprise accounts, build and coach the CX team, create playbooks and onboarding, prevent churn, run QBRs, partner with sales and product, and recruit CX talent to scale the organization.

The VP of Marketing will lead the global marketing strategy for Unframe, focusing on demand generation, product marketing, PR, and organizational development within an AI technology context.

The Tax Manager/Senior Manager manages tax compliance and advisory services for captive insurance, providing technical guidance and client support while leading engagements and mentoring staff.

The role involves encouraging individuals to apply for instructional positions in boot camps, reviewing resumes, and aligning candidates with roles based on availability.

Lead actuarial analyses for Medicare risk adjustment, pricing, and financial reporting. Extract and manage large healthcare datasets, build risk score reports (Cozeva, claims, Power BI), support forecasts/filings, advise senior management, collaborate with operations, and mentor junior analysts.

As a Machine Learning Engineer at Shipwell, you'll build and scale AI-powered logistics solutions, maintaining data pipelines and ML infrastructure across the organization.

Own end-to-end video and podcast production: ideation, scripting, filming, editing, motion graphics, and delivery across social, ads, website, webinars, and events. Build content strategy, calendar, repurpose assets, track performance, and collaborate with marketing, product, and design teams. Support live and pre-produced event content.

You will build and own end-to-end ML systems, focusing on training, evaluation, deployment, and integration with applications, while ensuring quality and efficiency.