Top Remote Senior Level Jobs in Charleston, SC

Lead 10–12 engineers across secrets and certificate management teams. Own delivery, hiring, performance management, technical direction, reliability, engineering quality, customer collaboration, and process improvement. Remain technically involved through code and design reviews while guiding architecture, security, observability, incident response, and operational excellence across cloud, self-hosted, on-premises, and air-gapped deployments.

Owns OuterBox’s internal and client-facing product portfolio, including applications, automation, AI, and LOOP Analytics. Defines product vision, architecture alignment, priorities, KPIs, and go-to-market strategy while leading Product Managers. Directs product discovery, requirements, Agile delivery, pilots, rollouts, adoption, and performance reporting. Partners with technology leadership and development teams to build scalable, user-centered products and evaluate emerging technologies.

Lead investor relations, capital markets engagement, fundraising, investor and Board communications, valuation analysis, and public-company readiness. Partner with the CEO, CFO, Finance, Legal, and Communications teams to shape Hello Heart’s investment story, build institutional investor relationships, support a Series E financing, and prepare the company for a potential IPO.

Build agentic AI platform runtimes and production agents, including planning loops, tool calling, durable execution, retrieval, human approvals, evaluation harnesses, guardrails, observability, and audit trails. Integrate enterprise systems and operate backend services on AWS while improving reliability, security, cost, and traceability of non-deterministic multi-step systems.

Coordinates strategic AI programs across engineering, product, legal, risk, compliance, security, HR, and business teams. Develops execution plans, governance frameworks, status reporting, risk registers, and executive communications. Supports AI platform and agent deployment initiatives, AI policy development, enterprise training, stakeholder alignment, and adoption. Requires strong program management, AI technology understanding, organizational skills, and experience managing complex cross-functional initiatives.

Leads a team responsible for hardware-in-the-loop verification and validation of autonomous trucks. Owns HiL strategy, roadmap, test campaigns, bench development, requirements traceability, safety compliance, defect triage, and V&V reporting. Partners with product, systems, safety, tools, and external vendor teams. Guides testing aligned with ISO 26262 and ISO 21448, including fault handling, safety mechanisms, autonomous driving systems, and performance limitations.

Build and own full-stack, AI-native products for online learning using TypeScript, Vue.js, Node.js, Azure, retrieval pipelines, agentic workflows, model APIs, and LLM evaluations. Lead features from prototype through production, ensuring scalability, security, observability, cost control, and graceful model failure handling. Mentor engineers, establish AI-assisted development standards, conduct code reviews, and collaborate with product and engineering teams in a remote, async-first environment.

Build and own production-grade generative AI applications for legal technology, specializing in RAG, agentic systems, advanced search, embeddings, reranking, evaluation, and LLM workflows. Responsibilities include architecting modular Python applications, refactoring legacy code, implementing testing and observability, optimizing performance and costs, ensuring resilience and security, reviewing code, and supporting deployments and incident resolution.

Develop and deploy machine-learned interatomic potentials for PFAS substitution. Responsibilities include generating and curating first-principles training data, building reproducible cloud and HPC workflows, training and validating ML force fields, running molecular dynamics and quantum chemistry campaigns, predicting physical properties, extending models to condensed-phase and process chemistries, and communicating model uncertainty and domain limitations.

The Senior IT QA Engineer owns quality strategy and outcomes across complex technology initiatives. Responsibilities include designing automated testing solutions, integrating quality verification into CI/CD pipelines, analyzing quality and production data, developing dashboards, managing risk, leading root-cause analysis, and influencing product, engineering, architecture, security, operations, and business stakeholders. The role requires technical contributions across web, mobile, API, data, cloud, and distributed systems, plus mentoring engineers and advancing quality engineering practices.