Top Remote Senior Level Jobs in Greensboro, NC

Partner with sales to deliver tailored pre-sales technical demos and support for Radicle Health's SaaS products. Contribute to RFPs, develop demo environments and sales assets, gather and relay customer feedback, collaborate with Product and Customer Success, and improve sales tactics by reviewing Gong recordings.

Build and scale Mattermost's core web platform across Go backend and React/TypeScript frontend. Design and consume REST and WebSocket APIs, optimize PostgreSQL queries, maintain security/compliance for government and enterprise clients, own testing strategy and internal tooling, and integrate AI coding agents into daily development workflows. Contribute to open-source codebase.

Work with healthcare stakeholders to discover high-value problems and rapidly design, prototype, and ship end-to-end AI solutions using Claude and modern AI stacks. Build LLM integrations, RAG, agentic workflows, APIs and lightweight front ends; apply responsible AI, HIPAA compliance, monitoring and governance; communicate ROI and technical tradeoffs to executives; iterate prototypes into production-ready, reusable components.

Lead a Squad as primary client liaison to define roadmaps, write technical specs, oversee end-to-end product development, analyze performance metrics, and collaborate with design and engineering to deliver high-quality products. Contribute hands-on (tickets, manual QA), manage expectations, and ensure timely delivery while driving iterative improvements and product-market fit.

Lead full-stack development across backend and frontend systems, implement and maintain features, fix bugs, collaborate with product and design, support client projects, and contribute to a distributed remote engineering team focused on high-impact startup missions.

Lead AMER talent attraction for Product Development, GTM, and Corporate functions by defining strategy, building AI‑enabled, data‑driven recruiting processes, growing and coaching regional TA teams, partnering with business and HR stakeholders, improving candidate experience, and owning analytics, employer brand, compliance, and location strategy to scale hiring across AMER and EMEA.

Act as the technical lead in enterprise sales: run technical discovery, design and deliver customized demos and POCs, assess API/cloud/model fit, address technical objections, support contract negotiations, and relay product feedback to engineering while staying current on AI/ML trends.

Lead client AI strategy and execution from readiness assessment through measurable proofs of value. Drive use-case discovery, governance, change management, process redesign, cross-functional delivery, and measure business value while managing teams, budgets, and client relationships.

Lead enterprise consumer social strategy, governance, and platform portfolio across five brands. Build content architecture, publishing standards, and scalable response operations. Enable business units through cross-functional partnership, measurement linking social activity to business outcomes, and pilot emerging platforms. Manage a small team and oversee tools, compliance, and escalation protocols.

Lead cross-channel customer experience analysis by combining quantitative and qualitative signals (NPS/CSAT/CES, contact center, digital analytics, transactional and complaint data). Design and run deep-dive investigations, translate findings into operational recommendations, coach analysts, partner with channel owners, and maintain measurement and narrative standards to drive quarter-over-quarter operational change.

Lead enterprise customer segmentation and personalization analytics: design and run segmentations, interpret results, recommend activation strategies, partner with marketing and audience owners, track campaign performance, and coach analysts to maintain segmentation standards across the activation lifecycle.

Design, implement, and maintain SaaS features using Python and React on AWS. Lead system design, code reviews, CI/CD pipelines, AI-integrated development (LLMs and AI coding agents), prompt engineering, testing (Cypress), and on-call production support. Mentor teammates and ensure secure, scalable, well-documented software.

Perform actuarial analytics and forecasting to model financial and market trends, support value-based care contracting and implementation, ensure data integrity, develop metrics and forecasts, troubleshoot data issues, and advise leadership to inform strategic and operational decisions.

Design, build, and deploy LLM-based applications and multi-step AI workflows (retrieval, orchestration, agents) using large-scale structured and unstructured data. Partner with engineering to productionize solutions, implement evaluation and safety measures, ensure compliance and data governance, and communicate results to technical and non-technical stakeholders.