Top Tech Jobs & Startup Jobs in Fayetteville-Springdale-Rogers,

Account Executives will manage the full sales cycle, build a pipeline of opportunities, run demos, negotiate deals, and collaborate with other teams to grow the customer base.

Drive new enterprise hotel accounts for Cendyn's cloud-based SaaS platform. Develop and execute territory plans, build diversified pipelines, conduct cold outreach and demos, negotiate contracts, hit quota, represent the company at industry events, and collaborate with marketing, project management, and customer success to onboard clients.

Build and operate end-to-end premium purchasing and subscription systems (Stripe, Apple/Google IAP, payments). Own projects from design through rollout and reliability, instrument observability, debug production, define metrics, mentor engineers, and drive technical direction and standards.

Sales Engineers at Harness act as technical support for sales, driving technology evaluations, demonstrating product value, and collaborating with customers and engineering teams.

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.

Lead technical sales and partner enablement for strategic channel partners in cybersecurity. Own the enablement, POC model, and partner relationships, producing technical collateral and driving partner-sourced revenue.

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.