Top Tech Jobs & Startup Jobs in Wilmington, NC

Leads a unified post-sales organization across onboarding, customer success, and technical support for three SaaS brands. Designs the operating model, processes, metrics, and organizational structure; drives retention, expansion, cost-to-serve reduction, and customer satisfaction. Partners cross-functionally to translate customer insights into product and business improvements. Applies AI, automation, data analytics, and process-improvement methodologies to scale global teams and improve customer outcomes.

Design high-fidelity visual experiences for a data-heavy B2B SaaS platform across web, mobile, email, and integrations. Improve typography, color, layout, information density, data visualization, and overall product quality. Build and extend the design system, translate rough concepts into polished designs, and collaborate with product, engineering, data science, media strategy, brand, marketing, customers, and executives. This is a hands-on individual contributor role focused on AI interfaces, incrementality, actionable insights, and complex data platforms.

Leads corporate development activities including acquisition sourcing, qualification, financial modeling, valuation, due diligence, negotiation, closing, and integration support. Analyzes industry trends, develops competitive landscapes, manages data rooms, coordinates internal and external diligence, and prepares executive and board presentations. Builds scenario-based operating models and forecasts to support acquisition decisions, valuations, and strategic planning.

Design, build, and evolve customer-facing backend services and public APIs for Chainguard’s platform. Own features end-to-end from technical design through rollout and iteration, partnering with Product and front-end teams. Develop reliable, observable cloud-native services consumed across multiple products, contribute to roadmap prioritization, and deliver iteratively in a remote startup environment.

Rocket Money’s Talent Network allows candidates to express interest in future opportunities and connect with the company’s recruiting team. The posting does not specify a particular role, responsibilities, qualifications, compensation, travel, or clearance requirements.

The Sr. Manager, Finance Systems Operations will enhance financial systems, manage data configurations, collaborate on system updates, and implement AI tools for improved financial processes.

Leads Americas revenue operations, including forecasting, pipeline hygiene, territory and quota planning, sales and partner operations, quote-to-order execution, reporting, analytics, and CRM transformation. Serves as the operational partner to the CRO, drives process governance and documentation, leads a regional team, and coordinates with global operations centers of excellence through systems implementations and organizational change.

Leads creative direction for Class launches, campaigns, product launches, and marketing communications. Develops concepts, brand voice, copy, design, art direction, video, and animation while remaining hands-on. Collaborates with brand, performance marketing, enterprise, and product teams; mentors multidisciplinary creatives; maintains quality and consistency; and drives innovative, strategically aligned work for a global audience.

The Revenue Operations Associate manages and improves revenue processes across Sales, Account Management, Support, Finance, Marketing, and partner operations. Responsibilities include administering Salesforce and Outreach, building automations, maintaining KPI dashboards, calculating commissions, analyzing costs and pipeline health, supporting forecasting and targets, improving data integrity, and conducting analysis on productivity, campaigns, churn, and retention.

Leads the architecture, development, and maintenance of scalable batch and real-time data pipelines, cloud data platforms, ETL/ELT workflows, and ML data infrastructure. Establishes standards for data quality, observability, lineage, governance, security, and modeling. Partners with data scientists, engineers, DevOps, and business stakeholders; evaluates technologies, drives technical initiatives, mentors engineers, and supports production-grade APIs and machine learning pipelines.