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

Contract CRM Operations Specialist to evaluate CRM workflows, map sales processes, optimize automations, and validate CRM data. Support AI training by annotating records and assessing model outputs. Produce documentation, training materials, and process guides to improve CRM operations and sales enablement.

Develop reproducible reinforcement-learning test environments and golden reference solutions. Produce clear code samples, debug and fix real code, build small features, improve readability, document reasoning, and review peer submissions across multiple languages and stacks.

Design, implement, and optimize GPU-based software for training LLMs. Profile and fine-tune GPU kernels and shaders, develop host-side integrations in C++, and deliver output-based tasks meeting performance specs.

Lead multiple engineering teams owning foundational services (identity, documents, payments, vehicle data). Grow managers and engineers, define strategy and roadmaps, ensure technical quality, compliance, operational readiness, cross-team collaboration, and financial sustainability of services.

Design, build, and maintain scalable batch and streaming data pipelines, cloud infrastructure, and the Enterprise Data Hub. Partner with stakeholders to productionize ingestions, ensure data quality, implement metadata/catalog solutions, mentor junior engineers, and support analytics and ML workloads using cloud and big-data tooling.

Research, catalog, and write accurate descriptions for collector cars consigned to Broad Arrow auctions and private sales; update vehicle database; collaborate with clients, Car Specialists, PR, Marketing, and Client Services; assist cataloging private collections; work on-site at live auctions domestically and abroad; perform other duties as assigned.

Build scalable, secure, high-performance applications for clients, clinicians, and internal users. Collaborate across Product and Clinical Operations, translate workflows into impactful features, improve architecture and system stability, and contribute to design, testing, code reviews, and technical planning. Lead cross-functional projects, mentor junior developers, and help shape innovative technology supporting mental healthcare.

Evaluate AI-generated responses for business users by reviewing personalization against your professional Gmail history. Rate relevance, accuracy, helpfulness, and personalization; compare responses; identify incorrect personalization or unsupported assumptions; provide clear, structured feedback while following guidelines and maintaining data privacy.

Short-term paid project to export your personal financial data from at least seven apps (including five mandatory categories), create two financial artifacts (spreadsheets or trackers), redact PII locally using a provided tool, and submit matching, recent historical datasets for quality review and final approval. Paid per approved dataset; expected completion within the project timeline.

Remote Danish language annotator to review and label text and images, draw bounding boxes, answer structured questions, and write short summaries following annotation guidelines. No prior experience required; on-the-job training provided. 30–40 hours/week, $8/hour, minimum 6-month commitment.

Conduct market research and lead generation for M&A targets across sectors, regions, and financial profiles. Analyze market trends, competitive landscapes, TAM/SAM/SOM, regulatory changes, and competitor M&A activity. Manage Salesforce data, reports, dashboards, workflows, and enrichment processes. Evaluate sourcing tools, support portfolio lead generation, and present pipeline and market intelligence reports to investment managers.

Develop and architect scalable cloud-based software for an IoT asset-tracking platform. Responsibilities include translating business requirements into technical designs, leading complex feature development, mentoring engineers, conducting code reviews, promoting engineering best practices, evaluating distributed-system trade-offs, and collaborating with product, operations, and customer success teams.

Provides first-level support for banking software through phone, email, web, and remote tools. Troubleshoots issues, configures and trains clients, documents solutions, maintains support records, and coordinates with QA, Development, and IT. The role includes customer-site installations, upgrades, occasional overnight travel, after-hours support rotation, documentation updates, and client communication. Strong customer service, technical communication, organization, networking knowledge, and familiarity with Windows are required.

Build and maintain SaaS product features across backend, frontend, databases, and cloud platforms. Write testable code, participate in reviews and system design, use AI-assisted development tools, support cloud deployments and monitoring, troubleshoot production issues, and document work. Collaborate with product managers, designers, and engineers while developing scalable software and growing across the technology stack.

Analyze life sciences supply chain and manufacturing workflows, identify improvements, and translate product vision into requirements, user stories, process maps, wireframes, prototypes, and documentation. Conduct industry research, support roadmap planning, collaborate with product, design, engineering, and client stakeholders, and participate in Agile activities including backlog grooming, sprint planning, and UAT. The role requires independent judgment, product analysis expertise, and supply chain or manufacturing domain knowledge.

Designs, implements, and supports enterprise integrations connecting ERP, MES, LIMS, QMS, supply chain platforms, and industrial automation systems. Applies ISA-95 and ISA-88 standards, Industry 4.0 architectures, APIs, middleware, and integration platforms. Collaborates with client IT/OT teams on requirements, data flows, secure communications, compliance, troubleshooting, documentation, and scalable integration frameworks for life sciences manufacturing.

General application for candidates interested in future opportunities at New Era ADR, a technology-enabled dispute resolution company. Applicants are invited to submit a resume for consideration and inclusion in the company’s applicant tracking system.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Guide enterprise customers in designing, securing, administering, and deploying Databricks environments on AWS. Architect scalable infrastructure, networking, identity, and security solutions; support pre-sales engagements through proofs of concept and technical content; and provide technical leadership, training, tutorials, and community contributions. The role requires expertise in AWS, distributed data architectures, infrastructure automation, programming, SQL, and customer-facing technical consulting, with travel up to 30%.

Lead pre-sales technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI initiatives. Act as main technical voice, build proofs-of-concept, create technical champions, mentor teammates, and align solutions to customer strategy while engaging executives and managing large global accounts.

Leads end-to-end change readiness for Guide-facing operational transformations, including deployment, adoption, feedback, milestone readiness, training, communications, and post-launch monitoring. Builds repeatable tooling such as playbooks, readiness trackers, dashboards, and change calendars. Partners with Product and Technology to shape releases, pilots, and launch criteria while managing cross-team dependencies and downstream impacts on staffing, quality, scorecards, and training. Uses AI to synthesize feedback and develop communications, training, and lightweight tools.

Leads managers of solution sales and solution engineering teams supporting enterprise Cloud and AI customers. Responsibilities include recruiting and developing talent, driving complex technical sales opportunities, coaching executive engagements, improving pipeline conversion and forecasting, aligning resources, and executing sales strategies across Azure, AI, data, analytics, application platforms, and infrastructure.

Build and maintain large-scale infrastructure for multimodal generative AI, including data processing, model pretraining, post-training, inference, and serving frameworks. Collaborate with research scientists and product engineers to resolve infrastructure challenges, optimize distributed CPU/GPU workloads, influence software and hardware architecture, and accelerate AI product delivery. The role also involves multimodal data processing, distributed training and inference, model evaluation, reinforcement learning, quantization, and technical project leadership.

Lead and develop Site Reliability Engineering teams operating Microsoft Substrate services in regulated environments. Own reliability, availability, incident response, disaster recovery, SLOs, operational metrics, automation, and compliance. Serve in the on-call rotation, drive systemic post-incident improvements, conduct recovery exercises, and partner with engineering, product, security, infrastructure, and compliance teams to build resilient, auditable cloud services.