Top Tech Jobs & Startup Jobs in Wilmington, NC

Build and operate large-scale data pipelines that source, process, and improve audio datasets for AI model training. The role focuses on data quality, throughput, cost optimization, production systems, and collaboration with AI scientists. Responsibilities include discovering audio sources, implementing scalable processing systems, owning engineering projects, and continuously improving training-data infrastructure.

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.

Own the end-to-end computer vision platform for fine-grained item identification and pricing. Responsibilities include designing and fine-tuning vision models, defining evaluation and confidence standards, building labeling feedback loops, prioritizing coverage versus accuracy, and deploying reliable, low-latency serving infrastructure at scale. The role also communicates model capabilities and trade-offs to technical and non-technical stakeholders.

Build and deploy production LLM-powered features and agents, including retrieval and RAG systems, evaluation frameworks, monitoring, and customer-facing AI capabilities. Collaborate with product and data teams to identify valuable AI applications, define success metrics, and improve quality, cost, and latency. The role requires production software engineering experience with Python or Node.js/TypeScript, cloud AI services, agentic development workflows, and strong English communication. Remote work is available for candidates based in Latin America.

Own partner revenue, pipeline, forecasting, and strategy across two to three strategic B2B technology partners. Build co-sell motions, senior stakeholder relationships, seller enablement, joint deal execution, product alignment, and the transition from co-sell to resale. Negotiate commercial agreements, analyze pipeline performance, and identify new partner opportunities while operating autonomously across the West Coast region.

Leads the vision, strategy, roadmap, and commercial performance of Riskonnect’s GRC, GSP, and ARM SaaS product portfolio. Oversees product leaders, drives customer and market discovery, prioritizes investments, manages product lifecycles, and partners with Development, Sales, Marketing, Customer Success, and executives. The role owns growth, retention, adoption, modernization, integration, and product performance while championing data-driven and AI-enabled product practices.

Leads the customer success organization, owning retention, expansion, consumption, renewals, segmentation, customer value realization, and operating metrics. Manages CSM leaders and teams, builds scalable playbooks and capacity models, develops talent, and partners with Sales, Services, Support, Studio, Product, and Marketing. The role requires executive customer engagement, enterprise success planning, usage-based pricing experience, and applying AI tools and workflows to modernize customer success.

Develop and manage strategic partnerships with banks, equipment finance, asset recovery firms, dealers, and industrial stakeholders to generate equipment consignments, auctions, and marketplace listings. Build pipeline, represent the company at events, collaborate with internal teams to convert opportunities, and meet revenue and partnership targets.

Supports federal acquisition and contract administration for the VA Loan Guaranty Product Line. Responsibilities include developing procurement documentation, monitoring deliverables and invoices, coordinating contract modifications and funding, supporting CORs and Contracting Officers, facilitating stakeholder meetings, tracking risks and milestones, and ensuring compliance with FAR, VAAR, and contractual requirements. The role bridges government program, acquisition, budget, technical, and contractor teams in a remote PMO environment.

Design, deploy, and scale production AI applications, agentic workflows, LLM integrations, and intelligent automation across enterprise business functions. Build cloud-native services, retrieval and vector database solutions, evaluation and monitoring frameworks, AI guardrails, and reusable engineering components. Integrate AI with enterprise systems, optimize model performance and infrastructure, and support secure, governed, reliable production systems while collaborating with technical and business stakeholders.