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

Owns the delivery of professional services engagements from sales handoff through execution. Responsibilities include reviewing statements of work, scoping and pricing services, estimating effort, coordinating resources, managing service requests, gathering customer requirements, improving delivery processes and tools, maintaining AI workflows, and collaborating across Sales, Product, Development, and Services. The role also provides people leadership, customer engagement, negotiation, and operational oversight.

Own the full sales cycle across North America, including prospecting, pipeline generation, client meetings, contract negotiation, and closing new business. Build markets across eCommerce, fintech, real-money gaming, and mobile apps while partnering with Customer Success, Marketing, and Product. Represent the company at industry events, monitor mobile advertising trends, and achieve personal and regional revenue targets exceeding $1 million annually.

Drafts, negotiates, and manages high-volume commercial contracts, including technology, vendor, agency, real estate, and engagement agreements. The role assesses and mitigates contractual risks, ensures compliance with legal and internal policies, advises business clients, supports training, and improves contracting workflows, templates, and operational processes. It also collaborates with attorneys and promotes effective use of AI in legal operations.

Build technical talent pipelines across Engineering, Product, and Design; map talent markets; develop sourcing strategies; partner with recruiters and hiring managers; use data to refine outreach; and engage candidates through initial screening. The role requires strong sourcing fundamentals, persuasive outreach, curiosity, adaptability, and experience finding hard-to-reach technical candidates.

Own end-to-end client relationships for a book of B2B SaaS customers: drive adoption, engagement, retention, and expansion of AI-powered contract drafting tools. Lead onboarding, training, large-scale rollouts, and translate customer feedback into product improvements while designing scalable CS processes and tracking health metrics to demonstrate value.

Leads Natera’s Software Engineering and DevOps team within Data Science Production Engineering. Responsibilities include managing engineers, designing and maintaining AWS cloud and data platforms, developing automation and production software, optimizing infrastructure performance, overseeing testing and deployment, enforcing quality and compliance procedures, maintaining technical documentation, and coordinating infrastructure roadmaps with cross-functional stakeholders. The role supports regulated genomics and medical diagnostics environments and requires expertise in Python, databases, AWS, Linux, software development, and genomics data.

Provides Tier II technical support for hardware, software, networks, servers, workstations, cloud environments, and mobile devices. Resolves complex issues, manages user accounts and permissions, monitors systems, documents processes, mentors junior staff, and supports software deployments, upgrades, and network projects. Requires strong troubleshooting, networking, communication, and customer service skills across Windows, macOS, Linux, and enterprise environments.

Administer Workday Learning as the business-side owner of learning catalogs, campaigns, enrollments, completions, reporting, compliance evidence, security, and related business processes. Execute annual training programs, automate manual administration, manage eligibility rules and content, support SOX and audit readiness, and escalate complex configuration or integration issues to HR technology teams.

Design and develop online courses from initial planning through LMS build and client approval. Collaborate with faculty subject matter experts, create course blueprints, learning outcomes, assessments, activities, rubrics, and media plans, and uphold accessibility and client standards. Manage reviews, revisions, task updates, LMS quality checks, and sign-off processes while communicating with clients and project teams. Work is contracted per course, paid at fixed milestones, and performed across client systems.

Lead research and engineering work on LLM-based architectures for dialog, search, and destination entry. Optimize LLMs via prompting and fine-tuning, integrate them with ASR, TTS, and vision systems, and collaborate cross-functionally to deliver performant, resource-constrained solutions for automotive voice assistants.