Top Remote Jobs in Little Rock, AR

The role involves generating new business within Independent Broker Dealers, supporting client engagement, managing fund selection, and collaborating on product marketing and sales strategies.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

Lead APAC lifecycle and CRM marketing: design localized acquisition, onboarding, engagement, retention, and win-back campaigns; own regional Braze execution; collaborate with regional and global teams; measure performance and optimize via data-driven insights; drive fan-first, localized go-to-market activations.

The Senior Category Manager drives category strategy and insights, sets growth targets, and leads a team to optimize category performance and client relationships.

Sell Zscaler cloud-native Zero Trust solutions to commercial/private equity accounts. Build C-suite relationships, create long-term account strategies, collaborate with internal teams, act as trusted advisor, and drive net-new logo acquisition and quota attainment through direct and channel selling.

Senior sales engineer for Zscaler's Healthcare Zero Trust Branch. Deliver technical product presentations, gather customer requirements, lead product evaluations and custom configurations, and design evaluation test plans to drive successful cloud-native Zero Trust deployments.

The Lead Azure Engineer will design and implement cloud solutions on Azure, focusing on migrations, security, automation, and client support, while ensuring best practices are upheld.

The Regional Sales Manager leads Territory Managers, focusing on sales performance, team coaching, and Salesforce management while ensuring regional execution aligns with national strategy.

Build and maintain eBPF-based network monitoring instrumentation in the Datadog Agent, debug production incidents spanning kernel/eBPF/agent runtime, research and prototype solutions for high-throughput, low-latency network observability, and provide technical input to product and architecture decisions.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead technical design and architecture for analytics engineering: build and govern the semantic/metrics layer, optimize dbt and Snowflake for performance and AI use cases, mentor engineers, partner with Data Science and Engineering, drive data quality, CI/CD, observability, and deployment of third-party data and emerging tooling to support analytics, ML, and agent-based products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Design and deliver custom AI-driven legal workflows, implement and scale post-sales solutions, define KPIs and success metrics, inform product strategy, partner with Customer Success to demonstrate ROI, and maintain objective, ethics-compliant processes and playbooks for plaintiff law firms.