Top Remote Senior Level Jobs in Wilmington, NC

Support and maintain server and systems infrastructure (hardware/software), monitor performance, perform maintenance and upgrades, administer Active Directory and identity platforms (Okta, Google Cloud Identity, AWS IAM), assist with systems design, troubleshoot enterprise systems, enforce IAM security standards, and produce documentation and reports.

Lead strategy, roadmap, development, and launch of an AI-enabled physician accounts receivable product. Partner with engineering, operations, commercial, and executive stakeholders to define requirements, prioritize initiatives, guide agile delivery, manage releases, and drive adoption. Apply healthcare revenue cycle expertise to identify market opportunities, incorporate customer insights, leverage existing technologies, and deliver measurable business outcomes while building alignment across a complex organization.

Owns the design, documentation, and optimization of healthcare revenue cycle workflows. Translates payer-provider processes into build-ready product requirements, user stories, process maps, and decision trees for AI-enabled solutions. Partners with operations, product, engineering, vendors, and leadership to identify automation opportunities, troubleshoot issues, improve performance, and support implementation. Requires deep healthcare revenue cycle expertise, strong process analysis, stakeholder facilitation, structured problem solving, and up to 25% travel.

Design, build, test, deploy, and operate frontend applications, backend services, data pipelines, and AI systems. Lead technical initiatives, own production features end to end, scale reliable systems, run A/B tests, and partner with product and operations teams to automate healthcare workflows using deterministic logic, machine learning, and LLMs.

Leads global product and GTM alliance enablement from strategy through execution. Builds sales plays, positioning, demos, competitive readiness, certification, AI-enabled content pipelines, and tooling that help sellers adopt new products, increase consumption, improve deal velocity, and raise win rates. Partners cross-functionally with Product, Marketing, Alliances, GTM, sales leadership, and subject-matter experts while establishing metrics, operating rhythms, and scalable enablement processes.

Leads the strategy, processes, and AI-native systems that personalize sales and sales development enablement by role, tenure, segment, industry, and region. Builds apps, agents, skills, content, and automated workflows; partners with global and regional enablement teams; pilots and iterates programs; establishes metrics and operating cadence; and influences senior sales leaders to improve ramp time, seller productivity, pipeline, and win rates.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Own the roadmap and operationalization of NPR’s audience lifecycle and marketing technology platforms. Lead scalable audience activation, personalization, automation, newsletter infrastructure, CDP segmentation, measurement, AI-enabled workflows, governance, and internal enablement. Partner with Data, Editorial, Marketing, Design, Engineering, and Product teams to improve engagement, donation conversion, retention, and audience growth.

Manage and grow strategic retail accounts by building buyer relationships, executing joint business plans, expanding distribution, managing promotions and trade spend, forecasting sales, and coordinating cross-functionally to drive profitable growth and improve on-shelf velocity.

Lead the planning, design, implementation, enhancement, and support of SAP SuccessFactors HCM solutions. Manage day-to-day HR applications, perform system analysis and configuration, drive process improvements, ensure compliance, monitor performance, resolve issues, maintain documentation, lead analysts, manage project timelines and stakeholders, and collaborate with HR and cross-functional teams to increase adoption and optimize systems.

Design and deliver scalable, secure enterprise Java solutions. Produce HLDs/LLDs, define APIs, enforce standards, guide development teams, promote microservices, integrate systems, and collaborate with DevOps for CI/CD and deployment.

Plan, configure, implement, and support SAP SD/CS within S/4HANA. Manage Order-to-Cash processes, integrate with FI/MM, gather and document requirements, execute testing and UAT, provide L2/L3 support, deliver post-go-live improvements, and train end users while maintaining technical documentation.

Leads complex cybersecurity incident investigations across cloud and on-premises environments. Directs investigative priorities, coordinates threat hunters and technical specialists, communicates findings and response recommendations to executive customers, and balances containment with recovery and evidence preservation. Conducts threat research, develops analytical automation, improves data quality, mentors colleagues, and contributes to technical publications and presentations.

Develop and evolve Azure capacity infrastructure, platform capabilities, and service stacks at scale. Provide technical leadership in requirements, architecture, design, coding, release planning, and operational reliability. Mentor engineers, manage cross-product dependencies, serve as a designated responsible individual, participate in on-call support, and improve system availability, observability, performance, and efficiency.

Drive enterprise adoption of Microsoft’s Copilot and agentic technologies from opportunity identification through production deployment. Map customer workflows to AI use cases, lead workshops and executive briefings, develop value cases, advise on consumption economics, coordinate technical and partner resources, track adoption and realized value, and contribute to forecasting, repeatable implementation patterns, and partner enablement.

Own the Supabase Auth product roadmap and developer experience across authentication, authorization, identity, SSO, MFA, passkeys, OAuth, organizations, and multi-tenant applications. Collaborate with customers, Engineering, Design, Security, and GTM; use product data to prioritize improvements; define authentication for AI agents; and align teams on product plans and rationale.

Design and lead leadership development for managers in an AI-first, high-growth company. Own Manager Seminars, create practical learning assets across formats, use data and People Insights to identify gaps, measure impact, and iterate quickly. Foster peer learning, build toolkits and templates, and support managers in remote/hybrid AI-integrated environments.

Senior Data Analyst responsible for executing data service tasks, ensuring governance and SLA compliance, reviewing deliverables, troubleshooting end-to-end data issues, supporting integrations and migrations, and influencing data ingestion and system upgrade strategies. The role also mentors team members, develops data solutions, and provides occasional weekend support for upgrades, patching, and testing.

Develop and maintain AWS cloud infrastructure, containerized environments, and CI/CD pipelines. Automate provisioning with Infrastructure as Code, monitor and troubleshoot systems, implement cloud security practices, improve application scalability and reliability, and collaborate with engineering teams. The role also includes project ownership, roadmap development, code reviews, documentation, prioritization, and rotating on-call support.

Analyze customer product journeys and translate product designs into detailed functional and technical requirements. Collaborate with product owners, designers, engineering teams, product managers, and scrum masters to facilitate communication and support high-quality feature development. Maintain knowledge-management standards and documentation while working in an agile environment and applying modern product-analysis techniques, including AI tooling.