Top Tech Jobs & Startup Jobs in Wilmington, NC

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Lead net-new sales for Workday professional services across the South region. Responsibilities include building pipeline, partnering with Workday’s sales organization, managing sales cycles and forecasts, negotiating statements of work, developing service estimates, achieving quota, supporting marketing activities, and managing customer and internal relationships. Travel up to 50% is required.

Build and lead a new product operations and internal product marketing function. The role establishes release documentation, training, communication, planning, measurement, feedback, and adoption processes across product, service, sales, and partnerships. It coordinates release calendars, supports beta launches, instruments team performance, improves workflows with AI-assisted tooling, and retires ineffective practices. This individual contributor role requires building scalable systems, driving adoption without direct authority, and enabling internal teams to become confident product experts.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy; delivers executive dashboards, KPI scorecards, operational reporting, semantic models, and self-service BI. Establishes data governance and metric standards, ensures data quality, partners with Engineering, Product, Finance, Operations, and executives, and translates business questions into actionable analytical solutions. Mentors analytics talent and drives prioritization, adoption, and measurable business outcomes.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Build and deploy scalable healthcare actuarial models within production software and AI systems. The role involves actuarial governance, model validation, data pipeline integration, AI evaluation, rapid prototyping, and technical collaboration with Product, Engineering, and Delivery teams. Candidates must translate complex healthcare risk and claims data problems into reproducible software solutions using Python, R, and SQL.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

Provides global presales technical expertise for IT virtualization and infrastructure modernization solutions. Partners with account executives, engages customers, leads architecture discussions, presents solutions, advises on virtualization and migration strategies, develops service scopes, and supports pricing and delivery alignment. Requires deep virtualization architecture experience across VMware or related platforms, cloud, containers, security, AI, and infrastructure modernization.

Serve as the technical presales partner for enterprise supply chain software sales. Lead discovery, tailored platform demonstrations, RFP responses, proof-of-concept engagements, and technical evaluations. Collaborate with Account Executives on deal strategy, communicate customer feedback to Product and Engineering, and develop sales enablement materials. The role requires strong supply chain planning knowledge, enterprise SaaS presales experience, presentation skills, and the ability to translate requirements into credible solution narratives.

Perform outbound outreach (phone, email, SMS, social) to home professionals, qualify opportunities, book meetings for Account Executives, maintain Salesforce, and hit pipeline and outreach metrics in a fast-paced SaaS sales environment.