Top Tech Jobs & Startup Jobs in Wilmington, NC

The Senior Technical Product Manager will oversee Salesforce platform management, focusing on AI solutions to improve customer operations, collaborating with teams to design features and drive product strategy.

Design, implement, and scale web and data pipeline solutions focused on generative AI and LLMs. Improve AI/ML infrastructure for model development, training, deployment, and prompt engineering. Partner with product and stakeholders to prioritize applied AI use cases, ensure PHI security and regulatory compliance, mentor junior engineers, and contribute APIs and integrations to embed generative AI into healthcare applications.

Design, build, and maintain scalable, secure AI core platform and web/data pipelines. Drive observability, auth/network integrations, runtime scalability, AI/ML infra for LLMs, mentor engineers, partner across teams, and ensure PHI security and compliance.

Lead technical onboarding, implementation, and ongoing support for customers using DataDome. Manage integrations and projects, run technical committees, troubleshoot and resolve incidents, proactively monitor customer technical health, and occasionally participate in on-call rotations to support escalations and business continuity.

Build and operate the platform: manage EKS/Kubernetes, implement GitOps (ArgoCD), maintain CI/CD (GitHub Actions), define SLIs/SLOs, lead incident response/on-call and post-mortems, design observability (Datadog, Sentry, CloudWatch, Grafana), automate infra with IaC (Terraform/CloudFormation/Crossplane), write Python tooling, and shape platform architecture and self-service workflows.

The Staff Attorney will draft legal documents, collaborate on case strategies, conduct legal research, and communicate with stakeholders to support litigation efforts.

Design, build, and support cloud-native full stack or backend Java products using TDD, CI/CD, microservices and event-driven patterns. Collaborate with product teams, provide production support, implement monitoring and ensure secure, performant systems.

Lead a team delivering legal technology and AI solutions for Allstate's Legal Department. Define product vision, strategy, and roadmap for legal systems (CLM, ELM, intake, automation). Evaluate vendors and agent platforms, run pilots, design guardrails for LLM/agentic systems with human-in-the-loop, and drive process redesign to improve scalability, compliance, and measurable business outcomes while mentoring and developing team members.

The P&C Actuary Senior Consultant II executes and manages reserving projects, utilizing statistical standards and methodologies to inform insurance business decisions and strategies, mentoring others along the way.

The Head of Business Development will drive Shelby's go-to-market strategy, secure partnerships, and build the commercial foundation of a decentralized storage ecosystem.

The Account Manager manages client relationships, focuses on sales goals, develops account strategies, and collaborates with teams to exceed revenue targets in the Cambridge/Boston MA area.

The Application Programmer will design, develop, test, and maintain software applications, ensuring they meet user and system requirements, and support sustainment lifecycle activities.

Manages large, complex task orders under the Program Manager, coordinates with Contracting Officer, task order managers, and government stakeholders, and ensures technical solutions and schedules are implemented on time.

The AI Architect will design and implement AI and ML solution architectures, focusing on Generative AI, data pipelines, and MLOps tooling for enterprise applications.

The VP of Product Strategy & Management drives the strategic direction and performance of the product portfolio, ensuring impactful outcomes for students and educators while aligning with business goals through effective cross-functional collaboration and leadership.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.