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

Embed with enterprise customers to design, build, and deploy production-grade integrations and data pipelines. Own technical discovery, end-to-end integration lifecycle, AI agent orchestration, customer technical relationships, and feedback to product and engineering. Produce runbooks, templates, and durable handoffs.

The Senior Underwriting Consultant evaluates complex applications, manages the underwriting process, trains junior underwriters, and ensures compliance with guidelines. Responsibilities include auditing, managing resources, and maintaining professional relationships.

Manage proposal generation and contract negotiation within the Fossil Americas team, ensuring compliance with risk management and business objectives. Lead strategies for successful deal closures and collaborate with sales and operational teams to define project scopes and costs.

Own the delivery lifecycle for Inquiry-to-Order tools (NEX/CPQ/CLM): gather requirements, plan projects, coordinate testing and releases, manage launches and stabilization, investigate and triage operational issues, produce documentation, and collaborate with business and technical stakeholders to improve platform reliability.

Lead enterprise AI and automation workforce transformation programs, partner with HR, Supply Chain, Finance and DT to design future-state organization models, build implementation roadmaps and governance, assess workforce and role impacts, drive pilots and scale adoption, and track financial/value outcomes while advising on process redesign and change management.

Lead full-cycle recruiting for technical and non-technical roles, build creative sourcing strategies for niche profiles, deliver exceptional candidate experience, run and optimize Greenhouse, leverage AI (Claude) across the funnel, partner with hiring managers, use pipeline data to improve time-to-fill, and help grow employer brand in collectibles, fintech, and marketplace communities.

Own end-to-end ML lifecycle for pricing and underwriting: improve model accuracy and coverage, reduce infrastructure cost, deploy and monitor production models on AWS, run experiments/backtests, and collaborate with domain experts to inform model improvements and product APIs.

Partner with sales to drive enterprise pre-sales engagements: architect and demonstrate solutions, run proof-of-value evaluations, uncover technical/business requirements, and manage technical aspects through the sales cycle.

Contract fractional HR generalist to own HR operations: payroll and HRIS (Rippling), benefits administration, compliance, systems automation and documentation, onboarding/recruiting support, and vendor coordination. Expected ~15 hrs/week for an initial 6-month engagement, with deliverables and system audits in the first 90 days.

Lead MLOps for production ML lifecycle: deploy and serve models, build scalable reproducible pipelines for large protein-design workloads, implement CI/CD and observability, optimize GPU/accelerated compute, and enable self-service tooling for researchers.

Design, deploy, and operate scalable multi-cloud data and AI platform infrastructure. Build IaC, CI/CD pipelines, containerized workloads, self-service ML provisioning, observability, and secure production practices while driving architecture, standards, and mentoring.

Support cost management and project controls for data center construction by aggregating, cleaning, and analyzing cost and schedule data; build EAC templates, dashboards, and executive reporting; perform benchmarking and reconcile multi-source datasets; establish baselines and unit rate libraries; communicate insights to technical and non-technical stakeholders and assist with ad hoc analyses.

Sell Litify's AI-driven legal operating platform to law firms and legal departments. Manage full upsell motions, consult on AI adoption, deliver high-level demos to C-suite, meet sales targets, and articulate ROI of autonomous agents and AI integrations.

Own and execute outbound motion using Outreach.io: design sequences, messaging, targeting and cadence; drive sales adoption; manage Outreach tooling; align with sales and demand teams; track and iterate on performance; and create usable playbooks for pipeline generation.