Top Remote Senior Level Jobs in Charleston, SC

Design, train, and deploy production computer vision and vision-language models for retail product recognition. Optimize models for edge devices, build data pipelines and annotation workflows, fine-tune open-source VLMs, develop VLA pipelines, mentor engineers, and drive CV infrastructure and MLOps best practices.

Own the end-to-end revenue cycle product roadmap, including eligibility, prior authorizations, claims-adjacent workflows, and EHR integrations. Translate clinic operations into product requirements, partner with Engineering on delivery and trade-offs, engage clinics and operations teams, define success metrics, and shape broader platform strategy. The role requires direct revenue cycle experience, strong communication, autonomy in a startup environment, and regular travel to NYC.

Design and deliver user-centric web and mobile experiences: wireframes, flows, high-fidelity mockups, and interactive prototypes. Build and maintain design systems, run UX research and usability testing, optimize for accessibility, responsiveness, and performance, and collaborate with product, engineering, and marketing on fintech investor flows.

Own paid media strategy and execution, beginning with Meta and expanding across major advertising platforms. Build, launch, optimize, and analyze full-funnel campaigns focused on leads, sales, CAC, ROAS, and profitability. Manage budgets, tracking, attribution, dashboards, reporting, and structured testing. Collaborate with creative, copy, funnel, sales, and coaching teams while recommending platform expansion and using AI to improve efficiency.

Leads workforce management strategy for a 180-person customer support operation. Owns forecasting, capacity planning, scheduling, real-time management, KPIs, budgeting, WFM and telephony systems, vendor relationships, reporting, and operational improvements. Manages a four-person WFM team and partners with Customer Experience, Operations, Finance, and senior leadership to improve staffing efficiency, scalability, service levels, and customer experience through technology, automation, and AI.

Lead the development, scaling, commercialization, and revenue growth of an enterprise digital manufacturing portfolio spanning CAD/CAM, MES, additive manufacturing, IIoT, cybersecurity, AI/ML, and AR/VR. Build and manage partner networks, lead go-to-market strategy, engage manufacturing customers, drive digital transformation adoption, and develop a high-performing team serving Federal and DoD ecosystems.

Leads complex design programs for premium live sports and entertainment broadcasts, managing graphics packages, studio design systems, production schedules, budgets, vendors, and technical playout workflows. Partners with creative, engineering, production, and executive stakeholders while overseeing on-site graphics integration from remote production trucks. Requires deep broadcast operations expertise, strong leadership, and extensive domestic and international travel for year-round live events.

Leads portfolio strategy, solution architecture, commercial growth, and delivery alignment for complex life sciences services. Partners with business development, marketing, sales, and functional experts to shape opportunities, design scalable offerings, support proposals, and improve profitability. Oversees portfolio governance, client outcomes, forecasting, scope management, and sales-to-delivery handoffs. Represents the organization with strategic clients and through industry thought leadership.

Lead governance and operations for the Public Safety Consulting Services portfolio. Standardize procedures, drive proposal development and business development support, oversee multiple projects for scope/budget/schedule, manage resources and subcontractors, engage stakeholders and clients, develop and quality-check deliverables, and manage contract lifecycle and invoicing.

Designs, builds, and operates AI-powered solutions for go-to-market teams, including retrieval, context, evaluation, guardrails, agent workflows, and operational automation. Owns problems end to end from discovery through launch, measurement, and iteration while shaping data and system architecture. Establishes reusable AI tooling, improves engineering velocity through AI-augmented development, mentors engineers, and maintains high standards for reliability, privacy, security, observability, and customer trust.