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

Manage and grow distributor and channel partner relationships to drive B2B sales across industrial segments. Develop account and market plans, negotiate contracts, provide technical/training support, gather market intelligence, coordinate internal teams, and meet sales targets while resolving client issues.

Research, draft, and manage grant applications to government, foundation, and corporate funders. Identify opportunities, write persuasive proposals and budgets, manage submission timelines and compliance, collaborate with leadership to gather data, maintain a grant tracking system, and prepare progress reports and impact summaries for awarded grants.

Build and scale full-stack features for mobile web using React and Python; develop AI-native care-team automation; own production reliability and HIPAA-compliant monitoring; set code quality, testing, and deployment standards; and collaborate with product, data, and clinical teams to translate complex healthcare workflows into practical solutions.

Test new web and mobile features, report bugs and usability issues, run manual and automated tests, review requirements and designs, improve QA processes and documentation, and provide UI/UX feedback while collaborating with product, design, and engineering teams.

The Senior Sales Consultant will identify and engage enterprise-level prospects in the US, manage the sales cycle, and achieve revenue targets through effective negotiation and relationship building.

Provide remote bookkeeping for US clients: maintain financial records, reconciliations, AP/AR, payroll processing and tax compliance, prepare monthly financial statements and 1099s, organize tax documentation, and communicate with clients.

Support Financial Planners and Wealth Advisors by building and updating financial plans in eMoney, modeling scenarios, drafting Excel analyses, managing CRM and Google Sheets workflows, researching planning topics, and coordinating workloads with other paraplanners.

Design, optimize, and operate large-scale data pipelines focused on performance and scalability. Support ML workflows including feature extraction, model training, and real-time inference. Build solutions using Python, SQL, AWS data services and Apache Spark, and train/deploy models with SageMaker, TensorFlow, or PyTorch in a fast-paced remote environment.

Lead and manage a cloud engineering team while architecting and implementing high-availability GCP systems and ML pipelines that ingest and process massive image volumes. Drive GPU resource optimization, IaC deployments, observability, and cross-functional collaboration with ML, data, and robotics teams to enable scalable model training, serving, and inference.

Provide remote administrative support including calendar and email management, preparing reports and presentations, conducting research, compiling data, and performing general administrative tasks to ensure efficient office operations.