Top Tech Jobs & Startup Jobs in Little Rock,

The Revenue Cycle Productivity & Quality Analyst analyzes performance data, identifies improvement opportunities, and coordinates operational enhancements in revenue cycle processes.

Drive new member pipeline through high-volume outbound prospecting (100+ touches weekly), research and qualify leads, schedule discovery meetings for Regional Sales Managers, collaborate on business development plans, track market intelligence and pipeline metrics, and support company events and initiatives.

Design, build, and operate central observability platforms. Develop telemetry pipelines for logs, metrics, traces, and events; enforce instrumentation standards; build scalable cloud-native ingestion and storage; optimize cost, performance, retention, and reliability; investigate incidents and drive root-cause analysis; and create dashboards, reports, and service-level monitoring frameworks.

The Senior AI Engineer will design and maintain customer-facing AI tools by building APIs, optimizing workflows, and conducting experiments with generative AI models, ensuring system reliability and integration with production systems.

Design, build, and operate secure, scalable cloud-native data platforms (lakehouse/data mesh) supporting batch, streaming, ML, GIS and operational workloads. Lead ingestion/transformation pipelines, distributed processing (Spark/Kafka), data governance, observability, and mentor teams while ensuring compliance in regulated environments.

Lead global commercial strategy and a team of nine Sales Directors to drive parts distribution and whole-asset transactions. Own revenue targets, pipeline, forecasting, and large multi-party deals; cultivate MRO, operator, OEM, and lessor relationships; align commercial activity with operations, pricing, and M&A, and support due diligence and integration.

Lead development of the Context Layer and Deep Reasoning Agent for an autonomous marketing platform. Define structured intelligence architecture, prototype with frontier models, design evaluation frameworks, and drive cross-functional alignment to ship production-grade AI features and improve model behavior and data structures end-to-end.

Design, architect, configure, test and deploy Adobe Experience Cloud solutions. Lead solutioning, POCs, integrations and global delivery; produce roadmaps, governance, testing strategies, and performance objectives. Mentor teams, participate in sales and pre-sales, and embed AI-assisted and agentic engineering practices to accelerate development and automation.

Own growth and performance for Kits AI across funnel optimization, activation, retention, pricing, and monetization. Productize ML capabilities into creator-facing workflows, partner with research and engineering, run experiments and analytics (e.g., Amplitude), conduct customer research, and leverage AI tools to accelerate shipping and internal insight systems.

The Implementation Manager will lead client communications, oversee website launches, manage internal workflows, and develop materials for internal teams while ensuring e-commerce functions align with client needs.