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

Own the technical architecture, strategy, and roadmap for an autonomous construction robotics stack spanning localization, planning, controls, and safeguarding. Make build-versus-reuse-versus-buy decisions, design safety systems, guide integration and field validation, establish shared technical foundations across autonomy programs, and mentor engineers. The role requires architecting and shipping production autonomous systems, strong compiled-language software skills, broad systems judgment, and 10+ years of relevant experience.

Leads claims process improvement initiatives by analyzing operational inefficiencies, documenting workflows, gathering requirements, managing projects, implementing technology solutions, supporting change management, and measuring outcomes. Partners with claims leaders and cross-functional teams to develop strategies, conduct cost-benefit analyses, prepare training, and deliver measurable operational improvements while maintaining regulatory compliance.

Leads and develops an analytics engineering team that builds data pipelines, analytical models, reporting, and scalable data infrastructure. Partners with Product, Engineering, Growth, and Operations to deliver reliable, actionable data. Establishes governance, quality, testing, documentation, and modeling standards while prioritizing analytics projects and communicating with stakeholders.

Own end-to-end design strategy across physical products, mobile apps, web dashboards, and AI voice experiences. Drive post-activation adoption, create rapid working prototypes, establish design systems and research practices, and influence roadmap decisions as a strategic leadership partner. The role requires senior ownership of complex, multi-surface products, strong UI, UX, and research skills, and the ability to operate as the company’s primary design function while partnering closely with product engineers.

Owns the enterprise IBM QRadar platform, including architecture, administration, health monitoring, log-source onboarding, performance tuning, data retention, dashboards, patching, integrations, high availability, disaster recovery, and capacity planning. Leads platform strategy and roadmap development, mentors SIEM personnel, establishes standards and procedures, provides technical escalation support, and collaborates with security, infrastructure, cloud, networking, identity, application, and compliance teams.

Support end-to-end onboarding and implementation of strategic healthcare and life sciences partnerships. Coordinate cross-functional workstreams, timelines, dependencies, project plans, risks, documentation, dashboards, and launch-readiness reporting. Serve as a coordination point for internal teams and external partners, support workflow alignment, capture feedback, improve implementation processes, and facilitate transitions to steady-state account ownership.

Provide legal support across contracts, technology, marketing, operations, and risk. Draft, review, and negotiate agreements (including SaaS, NDAs, vendor contracts); manage general liability litigation and disputes; advise on cybersecurity and PII compliance; handle regulatory inquiries and IP protection; mentor legal staff and review team-prepared documents.

Own and execute the data product roadmap for FastSpring sellers, including analytics, data warehouse initiatives, and actionable insights. Partner with data engineering and agile teams to define, prioritize, deliver, and measure product features. Conduct customer and market research, validate opportunities, develop business cases, synthesize feedback, and drive stakeholder alignment, adoption, and measurable business outcomes.

Join a finance and accounting services firm specializing in life sciences. This role involves accounting, finance, FP&A, and compliance. Requires strong accounting experience and communication skills.

The Infrastructure Engineer will scale and automate infrastructure, improve observability and reliability, and support engineering teams through data-driven decisions.