Top Remote Jobs in Little Rock, AR

Lead product strategy and delivery for healthcare analytics portfolios (quality, cost, population health, specialty analytics). Drive product development in agile environments, collaborate with stakeholders, define requirements, and ensure business intelligence solutions enable data-driven decisions across cost and quality domains.

Partner with Account Executives to drive technical strategy, deliver demos and proof-of-value, map Nebulock to customer security workflows, support channel partners, gather product feedback, and help build repeatable SE processes and playbooks to enable complex enterprise sales.

Lead technical post-sale implementations by scoping and ingesting telemetry, resolving complex data mappings and integrations, validating log quality, tuning AI detections, automating workflows with scripts/webhooks, training customers on product capabilities, and partnering with CSMs and Product/Engineering to track technical success and drive product feedback.

Lead zero-to-one discovery and execution for an autonomous threat-hunting product. Work directly with SOC analysts, detection engineers, and threat hunters to validate problems, define epics and success criteria, and partner with engineering and research to ship features that improve security outcomes and replace SIEM-centered workflows with hunt-first operations.

Lead and oversee reporting and analytics; develop/manage critical operational, financial, quality, and compliance reports; collaborate with business leaders to define requirements; monitor metrics and risks; lead/process improvements and projects; mentor and manage analytics staff; perform programming and analysis as needed to deliver scalable, maintainable reporting solutions.

Design and build developer-facing product surfaces end-to-end: create high-fidelity UX and visual designs, prototype quickly, implement production interfaces in React and TypeScript, steward the design system, and collaborate cross-functionally to ship polished, AI-native experiences.

Lead QA for web and backend systems: design and execute manual and automated tests (UI, functional, regression, accessibility, API), integrate testing into CI/CD, track and triage defects, perform root-cause analysis, mentor junior QA, and contribute to performance and security testing and process improvements.

Build, productionize, and operate AI-driven features and integrations across frontend, backend, and model layers. Prototype and deliver agent-driven experiences (conversational interfaces, RAG, tool-calling), integrate LLMs and external data sources, and collaborate with product and design. Participate in on-call/standby duties.

Design, build, and operate an AI-powered customer engagement platform that uses product telemetry and business data to deliver personalized outreach, build and backtest scoring models, segment cohorts, surface offers, integrate CRM/marketing/product analytics, and measure and iterate on program effectiveness to drive retention and expansion.

Lead enterprise data analytics, pipelines, BI, and data governance. Build and monitor ELT/ETL pipelines, develop executive dashboards, define data contracts and domain models, standardize integration patterns, and ensure HIPAA/SOC2-compliant data practices across affiliated entities.

Lead client relationships and revenue growth for media clients by pitching, developing strategic growth plans, ensuring flawless SOW execution, and delivering integrated full-service media solutions.

Lead Paid Social campaign strategy and delivery to exceed KPIs. Define measurement targets, track and optimize performance, drive automation and process improvements, manage client communication, mentor junior team members, and contribute to best-practice playbooks and technology adoption.

Lead Paid Social strategy and delivery for clients, manage scaled initiatives, adopt automation and technology, ensure campaign quality and measurement, escalate client issues, grow team capability, and drive process and practice-wide optimisation.

Lead end-to-end deployments of AI for hotel revenue teams: integrate PMS/CRS/RMS, ship ML/optimization models and agentic workflows, validate recommendations with revenue managers, define metrics, drive adoption, and hire/mentor the forward deployed engineering team.