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

Lead the SAP S/4HANA 2025 upgrade with a focus on Transportation Management. Assess upgrade impacts, validate end-to-end logistics processes, configure and test integrations, resolve defects, and coordinate cross-functional teams. Maintain freight planning, carrier selection, shipment, and settlement operations during migration. Support retrofits, dual maintenance, deployment projects, user acceptance testing, root-cause analysis, and change management without requiring coding.

Build and maintain key client relationships, manage onboarding and implementation, provide ongoing support, analyze performance data for account growth opportunities, and collaborate with sales teams on upselling, renewals, and expansion. The role also requires staying current on digital media, healthcare, advertising, measurement, and emerging technology trends.

Build and close outbound enterprise sales pipelines for a new payroll-giving scholarship program. Sell consultatively to HR, Total Rewards, Benefits, CSR, Finance, Legal, Payroll, and executive stakeholders at employers with 10,000+ employees. Explain payroll deduction and tax-credit mechanics, manage complex implementations, support successful program launches, and capture market intelligence to shape messaging, ideal customer profiles, and the go-to-market playbook.

Join a research and advisory pipeline for an asset-management startup building an auditable reasoning engine. Advise on agentic AI, world models, interpretability, and systemic risk. Help shape research direction, identify failure modes and guardrails, and provide scholarly evidence (papers, GitHub, Google Scholar) and a short written response to demonstrate expertise.

Provide technical customer support across iOS, Android, and web platforms. Troubleshoot issues, reproduce and document bugs, identify trends, escalate urgent problems, and communicate customer feedback and feature requests to Product and Engineering. Manage a high ticket volume with empathy, explain technical concepts clearly, and collaborate with Product, Engineering, Marketing, Analytics, and Trail Data Operations. Experience with support tools, AI support bots, public support content, languages, or mapping applications is beneficial.

Build software that productizes enterprise mortgage-lender onboarding. Responsibilities include automated tenant provisioning, configuration-as-code, environment promotion, data migration from legacy systems, reconciliation reporting, multi-tenant feature rollouts, smoke tests, conformance suites, and infrastructure or CI/CD improvements. The role spans backend, frontend, cloud infrastructure, security, reliability, and collaboration with implementation teams.

Build and deploy AI-powered tools and workflows across performance marketing, creative production, CRM, landing pages, growth operations, and product growth. Automate analysis, personalization, content generation, campaign activation, reporting, and conversion optimization. Integrate LLM APIs, marketing platforms, data pipelines, and orchestration tools while mentoring growth teams on AI adoption and partnering cross-functionally to deliver production-grade solutions.

PhD-level AI Engineering intern to apply machine learning to large-scale intraday and tick financial data. Responsibilities include alpha generation, portfolio optimization, risk modeling, data preprocessing, and collaboration with researchers to deploy robust ML models for trading.

Own a portfolio of SaaS customers across onboarding, enablement, adoption, renewals, upselling, and cross-selling. Build account plans tied to customer priorities, ROI, and growth goals; conduct QBRs and executive engagements; develop multi-threaded relationships; identify risks and opportunities; coordinate issue resolution; and gather customer feedback. The role requires strong communication, technical aptitude, data interpretation, influence, and customer-facing account management experience.

Lead revenue growth management strategy across pricing, promotions, trade investment, mix, and price-pack architecture. Build commercial guardrails, evaluate profitability and incrementality, optimize portfolios, support customer and channel strategies, and develop scalable analytics tools and routines. Partner cross-functionally with Sales, Marketing, Category Management, Finance, Supply Chain, Analytics, and IT to drive adoption, improve data quality, and accelerate profitable growth.