Top Tech Jobs & Startup Jobs in Wilmington, NC

Edit multi-cam reaction footage into fast-paced, retention-driven YouTube videos. Create strong 30-second hooks, kinetic typography, visual pop-ups, and high-quality sound design. Collaborate with lead editors, iterate on feedback, analyze retention data, maintain organized Premiere/After Effects projects, and optimize exports for YouTube.

The AI Product Manager is responsible for strategy and execution of AI solutions, managing product roadmaps, collaborating with teams, and improving AI performance through metrics and user feedback.

Administers multi-state health, welfare, retirement, and benefits programs while serving as the primary UKG HRIS administrator. Responsibilities include enrollments, leave-related benefits continuation, carrier reconciliation, open enrollment, 401(k) operations, HRIS transactions, integrations, reporting, compliance documentation, audits, employee support, and system testing. The role maintains data integrity, supports regulatory requirements, and trains HR partners and employees.

Own strategic customer relationships and guide large enterprise organizations through post-onboarding cloud security adoption. The role connects Wiz’s value to customer initiatives, drives product adoption and expansion, coordinates Sales, Support, Success, Product, Engineering, and customer teams, and advises stakeholders from technical teams to CISOs. Responsibilities include transformation project management, governance, training, business case and TCO analysis, tool consolidation, milestone definition, blocker removal, and ensuring secure workload migrations and successful Wiz implementation.

Own strategic customer engagements focused on cloud security adoption, business value, and revenue growth. Guide enterprise customers through post-onboarding transformations, build relationships from technical teams to CISOs, drive Wiz adoption and expansion, remove migration blockers, establish governance, develop training strategies, and support business cases and tool consolidation. Collaborate across sales, support, success, product, engineering, and customer teams to deliver secure cloud outcomes.

Manages strategic enterprise customers through cloud security adoption and expansion. Builds relationships from technical teams to CISOs, drives Wiz adoption, coordinates cross-functional initiatives, removes implementation blockers, develops training and governance programs, and supports business cases and tool consolidation. The role advises customers on secure cloud transformations while identifying opportunities to deepen product usage and expand across business units.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Lead the vision, roadmap, discovery, and delivery of AI-enabled analytics products for nursing and medical education. Translate customer and business needs into product strategies, prioritize backlogs, guide cross-functional teams, and measure adoption, usability, customer impact, and business outcomes. Champion responsible AI practices involving quality, privacy, transparency, and trust while using customer feedback and product data to continuously improve products.

Leads the Digital Commons Product Operations team, overseeing client onboarding, migrations, manual integrations, customer lifecycle management, retention, risk mitigation, product workflow collaboration, and cross-functional delivery. Develops managers and associates, sets departmental priorities, allocates resources, executes business plans, and advises Product leadership using client and technical insights. Partners closely with Sales and Consulting Services to support launches, resolve risks, improve adoption, and drive customer satisfaction and growth.

Designs and implements AWS cloud-native applications, distributed systems, and machine learning infrastructure. Leads architecture for SageMaker model deployment, inference, endpoints, and AI integrations while guiding engineering teams. Builds scalable event-driven services using AWS Lambda, SNS/SQS, EventBridge, DynamoDB, and Bedrock. Develops Python automation and ML integrations, applies Terraform and CI/CD, and ensures production ML workloads are secure, reliable, scalable, and cost-effective. Preferred experience includes NLP, embeddings, generative AI, OCR, MLOps, RAG, and vector databases.

Designs enterprise data management and architecture solutions for clients, including data governance, quality, catalog, lineage, master data management, modeling, cloud platforms, and legacy modernization. Leads client workshops, proposals, proof-of-concepts, implementation roadmaps, complex engagements, globally distributed teams, and executive presentations. Serves as a data subject matter expert, mentors teams, contributes to thought leadership, and integrates third-party platforms across on-premises and cloud environments.

Provides remote technical support for laboratory diagnostic instruments by identifying problems through customer discussions, data, logs, and remote access. Troubleshoots root causes, guides customers through corrective actions, documents calls in the CRM, follows regulatory procedures, and determines when field service dispatch is needed. Requires strong communication, problem-solving, product knowledge, and the ability to explain complex information clearly.

Provides remote technical support for laboratory diagnostic instruments by identifying problems through customer discussions, data, and log files. Guides customers through troubleshooting and corrective actions, follows up on resolutions, documents calls in CRM systems, monitors support channels, and dispatches field service representatives when needed. The role requires strong problem-solving, communication, product knowledge, and adherence to regulatory and ISO documentation procedures.

Manage enterprise client portfolios with a focus on retention, churn reduction, value realization, and revenue growth. Build executive relationships, guide clients on marketing best practices and consumer-generated content optimization, coordinate cross-functional teams, mitigate risks, identify upsell opportunities, and advocate for customer success. The role requires managing complex workstreams and demonstrating measurable business outcomes for SaaS or e-commerce clients.

Provides high-touch technical support to enterprise clients through phone, chat, community portals, and escalations. Troubleshoots complex issues involving access management, connections, reporting, and syndication; documents solutions using KCS practices; and leverages AI and automation to improve efficiency. The role manages support queues and KPIs, collaborates across teams, supports onboarding, develops product expertise, and provides feedback to Product and Engineering.

Serve as lead legal advisor to product, engineering, and technology teams on AI, software, cloud, privacy, cybersecurity, intellectual property, and technology transactions. Develop AI governance and responsible-use policies, assess regulatory and ethical risks, negotiate technology and AI vendor agreements, advise on IP and data workflows, monitor global technology regulations, and train employees. The role requires significant legal experience, active bar membership, AI and privacy expertise, and the ability to influence executive and cross-functional stakeholders.

Own full-cycle recruiting for engineering and product teams, including intake, outbound sourcing, candidate assessment, interview execution, and offers. Partner strategically with engineering and product leaders to define hiring needs, maintain rigorous standards, build diverse talent pipelines, and evaluate technical and product candidates. Operate autonomously in a fast-moving, ambiguous environment while advising leadership on hiring strategy and transferable skills.