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

Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, evaluation and observability capabilities, and workflows that turn insights into action. Work hands-on with large and small models, durable orchestration, cloud deployment, inference-cost optimization, and high-volume observability data. Establish reusable engineering patterns, collaborate with product and platform teams, and mentor through strong technical contributions.

Administers and analyzes sales compensation programs, including commission payout processing, data auditing, dispute resolution, plan modeling, reporting, and dashboard maintenance. Partners with sales, finance, and HR teams to ensure accurate payouts, compliance, documentation, and process improvements. Requires strong Excel modeling skills, CRM and incentive compensation platform experience, analytical ability, communication skills, and independent judgment.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Design and scale data pipelines and ML/LLM systems, build agentic automation for pipeline generation and maintenance, improve data monitoring, and collaborate with analysts, product, and ML teams to deliver reliable end-to-end data and AI infrastructure for a high-growth e-commerce platform.

Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.

The Enterprise Account Executive will drive enterprise sales of the Qualtrics Experience Management platform, engage with Fortune 100/500 clients, and consistently meet sales quotas while managing relationships.

Leads OppFi’s lifecycle and brand marketing strategy across acquisition, retention, repayment, servicing, and collections. Owns omnichannel communications through Braze, lifecycle KPIs, brand standards, creative direction, customer insights, and go-to-market strategy. Manages and mentors lifecycle marketing, design, and marketing technology teams while partnering cross-functionally with Product, Data, Engineering, Operations, Legal, Finance, and executives. Drives experimentation, optimization, customer experience, and responsible marketing within a regulated FinTech environment.

Leads the development and ownership of Cedar’s production machine learning personalization engine. Responsibilities include ML modeling, MLOps, feature pipelines, deployment, inference, monitoring, feedback-loop optimization, compliance and fairness guardrails, technical leadership, code reviews, cross-functional collaboration, and management of ML engineers. The role requires hands-on contributions to scalable ML systems serving millions of healthcare transactions while guiding roadmap execution and model improvement.

Own end-to-end onboarding for high-revenue customers, partnering with Account Executives and internal teams to guide data migration, payments setup, website configuration, team permissions, and product enablement. Serve as the primary customer contact, manage timelines and risks, conduct walkthroughs, resolve technical issues, document progress in CRM tools, and share feedback to improve onboarding processes.

Own the full technology partner lifecycle, from qualification and commercial agreement through integration, activation, joint go-to-market, and royalty revenue generation. Manage a partner territory, forecast performance, conduct QBRs, coordinate with Product, Engineering, and Marketing, and build scalable onboarding and activation playbooks. The role requires enterprise SaaS partner management, commercial negotiation, partner economics expertise, technical fluency, and experience driving integrations and marketplace distribution.