Top Tech Jobs & Startup Jobs in Wilmington, NC

Provides senior-level systems administration and IT operations support for a Department of State contract. Responsibilities include desktop, infrastructure, application, web services, and network support; incident, problem, and change management; root cause analysis; application deployment; and ticket ownership. The role leads technical initiatives, supervises and mentors systems administrators, supports geographically distributed users, and maintains reliable enterprise IT services. Active Secret clearance and extensive IT service management experience are required.

Operate and improve large-scale AI compute, storage, and networking infrastructure in 24x7 environments. Responsibilities include capacity planning, performance analysis, patching, upgrades, firmware management, automation, incident response, documentation, disaster recovery testing, and L3 escalation support. The role also requires customer collaboration, operations enablement, and participation in an on-call rotation while supporting OpenStack or similar private cloud platforms.

Leads enterprise sales growth among CPG brands and retailers. Responsibilities include expanding existing accounts, prospecting new business, developing territory and account strategies, engaging senior decision-makers, uncovering client needs, presenting Numerator’s market intelligence solutions, and managing the full sales cycle through negotiation and close. The role requires enterprise software sales expertise, CPG industry knowledge, strategic relationship management, and familiarity with Salesforce and consumer insights technologies.

Coordinate and execute software deployments across staging, testing, and production environments. Build and maintain CI/CD pipelines, automate deployment processes, troubleshoot failures, manage cloud configurations, perform post-deployment testing, and maintain deployment documentation and tooling. Collaborate with development, product, and operations teams to deploy and sustain mission-critical technology in DoD network environments while ensuring security, operational compliance, and deployment readiness.

Own and grow Higgsfield AI’s highest-value enterprise accounts by driving revenue expansion, renewals, upsells, adoption, and long-term partnerships. The role develops strategic account plans, leads complex negotiations, builds C-suite relationships, identifies cross-business opportunities, conducts executive reviews, and translates AI capabilities into measurable business value. It also partners across Product, Engineering, Marketing, Customer Success, and leadership while managing forecasting, pipeline, and enterprise growth initiatives.

Leads operational governance for an IT Business Systems team across five business areas. Owns business reviews, budgeting and forecasting, intake prioritization, end-user training, internal team enablement, leadership support, and AI knowledge-platform delivery. Analyzes support data to improve systems delivery and develops team capabilities across SAP ECC, S/4HANA, Vistex, Vertex, and TMS platforms.

Own full-cycle recruiting for senior and staff-level engineering roles, especially backend, infrastructure, systems, Rust, and database positions. Partner with Engineering leaders on hiring profiles, build outbound pipelines, manage interviews and closing, oversee agencies and referrals, analyze recruiting funnel data, and support talent branding. The role requires technical fluency, strong sourcing instincts, startup experience, and the ability to influence hiring decisions.

Owns and optimizes HubSpot, marketing automation, lead lifecycle management, campaign operations, data governance, segmentation, attribution, reporting, and marketing technology integrations. Supports demand generation, webinars, events, product launches, customer and partner marketing, and go-to-market initiatives. Manages Asana workflows, project governance, vendor relationships, AI-enabled tools, and stakeholder enablement while improving marketing efficiency, data quality, campaign performance, and revenue contribution.

Build and operate a multi-cloud, multi-tenant platform for distributed LLM inference. Responsibilities include developing fault-tolerant services across cloud and hardware environments, improving observability and cold-start performance, and creating Helm charts and Kubernetes operators for scalable deployments. The role requires backend engineering, distributed systems, cloud infrastructure, Kubernetes, and machine learning experience.

Leads technical discovery, solution design, demonstrations, proof-of-concepts, architecture documentation, and RFP responses throughout the sales cycle. Partners with customers, account executives, customer success, product, and engineering teams to translate business and technical requirements into tailored solutions involving PKI, cloud platforms, cybersecurity, integrations, and automation. Acts as a trusted technical advisor and supports new business development across assigned accounts, with approximately 20–25% travel.