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

Own customer deployments for Cassi by mapping operating-company workflows, building integrations and ETL pipelines, developing custom automations, and ensuring reliable live operations. The role combines hands-on TypeScript and Node.js engineering with customer-facing implementation, debugging, data reconciliation, incident response, and product feedback. This founding engineer will define the forward-deployment function, determine which solutions should become core product capabilities, and potentially build the future team.

Lead architecture and implementation of autonomous inbound/outbound AI agents, build scalable LLM ops and signal-intelligence data pipelines, integrate identity resolution and third-party CRM systems, and maintain production-ready, well-documented systems for Series B diligence.

Create cohesive brand identities, including logos, color palettes, typography, and visual language. Design user-friendly websites using Squarespace, WordPress, or Wix, and produce visual assets with Adobe Creative Suite. Collaborate independently with clients and professionals, manage multiple client accounts, communicate effectively, and deliver high-quality work on schedule.

Leads cross-functional Content and Data programs spanning innovation, data quality, taxonomy, AI/ML automation, governance, and operational enablement. Responsibilities include roadmap planning, requirements definition, risk and dependency management, change communications, stakeholder alignment, governance forums, and executive reporting. The role measures delivery performance, ROI, adoption, data accuracy, and operational efficiency while establishing standardized program execution frameworks.

Serve as the primary customer liaison for revenue cycle management services, building relationships and driving satisfaction, retention, and advocacy. Analyze performance metrics, identify trends, provide actionable reports, resolve customer issues, and recommend workflow improvements. Collaborate with billing, operations, product, and other internal teams to optimize service delivery. The role requires deep revenue cycle expertise, customer engagement skills, strong communication, and up to 10% overnight travel.

Leads lifecycle marketing and customer retention strategy across engagement, winback, personalization, segmentation, experimentation, and owned channels. Builds and develops a high-performing team, partners cross-functionally to improve customer experiences and lifetime value, translates data into executive insights, and establishes the lifecycle marketing roadmap, capabilities, technology, and processes for sustainable growth.

Own TLDR’s Applied AI product function, triaging requests, translating business problems into build-ready specifications, redesigning processes into agentic workflows, and managing the roadmap and lifecycle of internal command centers and tools. The role partners with strategy, operations, and AI engineering teams, prioritizes automation opportunities, drives adoption, and helps shift company work from manual processes to AI-enabled workflows.

Lead design and delivery of large-scale, cloud-native services powering millions of devices. Architect solutions for scalability and integration, own full service lifecycle in Kubernetes, mentor engineers, participate in on-call support, and drive engineering best practices across cross-functional teams.

Build and maintain full-stack web applications, APIs, services, and internal tools supporting driver experiences, geospatial capabilities, cross-dock operations, and logistics platforms. Develop primarily with React, TypeScript, Go, and Ruby on Rails while contributing to scalable architecture, testing, reliability, performance, code reviews, and cross-functional delivery with Engineering, Product, and Operations teams.

Leads the end-to-end customer support organization, owning service-level performance, case resolution, quality assurance, workforce planning, tooling, and operational scalability. Builds technically skilled support teams, career ladders, training systems, and high-performance culture. Partners with Product and Engineering to turn support insights into roadmap improvements and reduce future case volume. Establishes data-driven processes, dashboards, AI-assisted resolution oversight, and strategic operating models for a growing SaaS healthcare platform.