Top Tech Jobs & Startup Jobs in Wilmington, NC

Design and manage global early-career and internship programs for technical talent. Responsibilities include university partnerships, campus recruiting, employer branding, onboarding, mentoring, intern engagement, performance reviews, retention, program metrics, feedback analysis, budgets, logistics, and continuous program improvement. The role collaborates across global People and stakeholder teams to scale inclusive early-career talent initiatives.

Source and engage high-quality business talent across sales, finance, revenue, marketing, communications, and operations. Build talent pipelines, partner with hiring managers and talent partners, manage recruiting funnels in the ATS, monitor sourcing analytics, maintain market intelligence, develop proactive sourcing strategies, cultivate professional networks, and lead high-impact talent projects while supporting inclusive hiring.

Develop and execute employer branding and recruitment marketing strategies to attract frontier AI talent globally. Manage multi-channel campaigns, create career content, optimize the career site, track recruitment metrics, monitor competitors, and partner with Marketing, Communications, Research, and hiring teams to deliver targeted campaigns and consistent employer messaging.

Supports health technology platform modernization, Azure cloud migration, API integrations, DevOps readiness, data migration, and operational stability. The role contributes hands-on solution design, API testing, environment readiness, CI/CD and deployment coordination, cutover execution, compliance validation for PHI/PII, and risk and dependency management. It bridges business and engineering teams, collaborates with vendors and security stakeholders, and produces technical documentation, decision logs, and stakeholder updates.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Review and annotate Chinese text and images to train AI: draw bounding boxes, answer structured questions, write short summaries, and follow annotation guidelines. Remote, long-term contract (minimum 6 months), 30–40 hours/week, paid hourly with a short language assessment required.

Remote Danish language annotator to review and label text and images, draw bounding boxes, answer structured questions, and write short summaries following annotation guidelines. No prior experience required; on-the-job training provided. 30–40 hours/week, $8/hour, minimum 6-month commitment.

Own post-go-live relationships for mid-market and enterprise B2B SaaS customers. Drive adoption, configuration refinements, customer health, QBRs, renewals, retention, and expansion. Partner with Sales, Solutions Architecture, Implementation, Product, and Engineering while serving as a strategic advisor to revenue leaders. Build scalable Customer Success playbooks, health scoring, ROI models, and renewal processes as an early team member.

Owns enterprise sales growth across the Mid-Atlantic and Southeast United States. Responsibilities include identifying new customers, leveraging regional networks, attending events, evaluating territory and vertical opportunities, developing go-to-market strategies, monitoring market and competitors, sharing customer insights with product teams, mentoring colleagues, and improving sales processes for a fast-growing technology company.

Own and evolve Ashby’s Talent Trends content pillar, setting editorial strategy and translating recruiting data into compelling written, audio, video, and live experiences. Lead collaboration across Data, Design, Leadership, Customer Success, Demand Gen, and web teams. Serve as the market-facing voice through reports, customer-specific insights, campaigns, and event panels while maintaining brand consistency and managing end-to-end content operations.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Conduct applied research on scalable optimization and resource-allocation algorithms for large communication networks. Apply machine learning, reinforcement learning, integer optimization, graph-based methods, and metaheuristics to improve solution quality and efficiency. Collaborate with software engineers to integrate algorithms into production aerospace networking systems, evaluate performance at realistic scale, publish research, support patent applications, and document novel methods.

Design and develop backend distributed systems for 5G non-terrestrial networks, Direct-to-Cell services, satellite orchestration, and terrestrial network coordination. Build scalable cloud-native software using C++, Golang, Java, gRPC, Protocol Buffers, and Kubernetes. Translate 3GPP and O-RAN specifications into reliable software, integrate platform components, document implementations, troubleshoot issues, and collaborate with telecom solution architects.

Own application-layer reliability for AI-powered features: define SLIs/SLOs, build observability (Looker on BigQuery/BigTable), create LangGraph agents for diagnostics/remediation, develop evaluation harnesses, write complex BigQuery SQL, partner with engineering and SRE teams, lead incident response and postmortems, and build Python automation to reduce MTTD/MTTR.

Lead Cisco’s Global Certifications organization of 14 direct reports and oversee the strategy and execution of Common Criteria and EUCC certifications. Manage portfolio prioritization, technical program delivery, staffing forecasts, budgets, external laboratories, vendors, and regulatory relationships. Drive process improvements, resolve systemic blockers, support performance and career development, and communicate technical risks and regulatory impacts to executive stakeholders.

Manage FP&A for product organizations, including P&L ownership, forecasting, budgeting, financial modeling, variance analysis, management reporting, dashboards, and risk assessment. Partner with Finance, Product, Operations, Accounting, and business leaders to update financial outlooks, analyze bookings, revenue, COGS, OpEx, infrastructure spend, and margins, and communicate business insights, risks, and opportunities.

Leads Trace3’s AI strategy for a priority industry vertical and assigned anchor accounts. Develops vertical AI narratives, executive relationships, roadmaps, business cases, governance models, solution architectures, accelerators, and reference architectures. Shapes and advances AI pursuits, guides use-case discovery and proofs of concept, ensures delivery fidelity, manages escalations, and measures business value. The role combines enterprise AI consulting, account leadership, executive engagement, opportunity development, and transformation leadership across areas such as financial services, healthcare, government, manufacturing, or retail.

Leads and scales Trace3’s Infrastructure and Operations practice, including go-to-market strategy, solution portfolio development, partner management, presales consulting, client engagements, and delivery alignment. Owns revenue, gross profit, forecasting, and practice performance. Develops solutions across networking, cloud, observability, automation, AIOps, managed services, resilience, and platform modernization while mentoring leaders and advising executive leadership.

Analyze complex financial and business data to guide planning, forecasting, investment decisions, and strategic growth. Partner with FP&A, Accounting, RevOps, Product, Marketing, Data Engineering, and analytics teams; automate recurring workflows; build self-service dashboards and data assets; improve analytics infrastructure; and communicate actionable insights to technical and non-technical stakeholders.