Top Tech Jobs & Startup Jobs in Wilmington, NC

As a Software Engineer, you will design and build web applications using Python, develop APIs with FastAPI, and work on AI systems and data pipelines, collaborating with teams across projects.

Lead the product management of data products and AI/ML platform, driving strategy, execution, and adoption of data systems across teams for improved customer outcomes and business impact.

The Data Engineer will design and maintain data pipelines, optimize cloud data warehouses, and collaborate with analytics teams while mentoring junior staff.

Serve as a strategic partner to product teams to define measurable outcomes, design impact frameworks, analyze quantitative and qualitative data, support pilots and experimentation, and translate findings into actionable product recommendations. Create and refine evidence-based educator content, elevate educator voice in design, and collaborate cross-functionally to align AI-enabled tools and product roadmaps with child development and behavior-change goals.

Manage preparatory payroll across international entities (Germany primary, plus France/Spain), liaise with external payroll/EOR/PEO providers, resolve employee payroll queries, automate HRIS-payroll workflows, calculate commissions/bonuses with RevOps, and support Finance with reporting, audits, and statutory compliance.

The Client Partner at Komodo Health is responsible for maintaining strong customer relationships, driving account growth, upselling services, and ensuring client satisfaction in a consulting context in the biopharma industry.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

Lead a major revenue segment, oversee SVPs and their teams, and drive predictable growth through pipeline discipline, forecasting, deal strategy, renewals, cross-functional alignment, and executive-level negotiations. Coach leaders, manage customer risk, and apply AI tools to improve forecast quality and scale coaching and execution.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

Lead design and development of full-stack, scalable services and custom lab software for a high-throughput laboratory. Build CI/CD pipelines (GitLab), unit tests, and AWS-based infrastructure; optimize performance, troubleshoot and perform root-cause analysis; mentor engineers and collaborate with product, designers, and end-users. Occasional on-site lab visits.

The Program Manager will lead cross-functional programs in product development, ensuring compliance with regulatory requirements and stakeholder alignment, while driving execution of associated projects and managing risks.

Design and implement infrastructure to support generative AI and machine learning, optimizing workflows and integrating new technologies while ensuring reliability and performance.

Design, build, and deliver cloud-native software enhancements for investor and tax applications. Develop microservices on AWS/Kubernetes, implement CI/CD and TDD practices, integrate messaging systems like Kafka, debug relational databases, and collaborate with DevOps and stakeholders to improve scalability, resiliency, automation, and cross-team initiatives.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

The Solution Engineer - Data Engineering Specialist will provide technical leadership in the financial services sector, collaborating with sales teams to demonstrate Snowflake's data platform capabilities while engaging with technical and executive stakeholders.

The Senior Product Manager (AI) will lead AI product strategy, engage with customers, partner with engineering teams, and improve workflows using AI.