Top Tech Jobs & Startup Jobs in Charlotte, NC

The Data Automation Engineer will identify automation opportunities, design and build solutions across cloud platforms, and engineer production-ready jobs using multiple programming languages while tracking automation impact.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

Lead end-to-end paid social campaigns as the primary strategic partner for clients. Manage campaign setup, optimization, reporting, and cross-channel performance (Meta, TikTok, others). Coordinate internal teams, drive audience/data strategies using Zeta Data Cloud, and deliver actionable insights to meet business goals.

Manage end-to-end paid social ad campaigns, focusing on Meta, TikTok, Pinterest, and Snapchat. Optimize campaigns and provide client insights.

The Enterprise Sales Director will sell SaaS or cloud solutions, manage key accounts, develop territory plans, and foster relationships with C-suite executives, achieving sales goals.

The Principal DevOps Engineer will lead the design and operation of CI/CD pipelines, platform reliability, and compliance for software deployment, while influencing DevOps practices and simplifying operational management across teams.

The Staff Data Engineer will design and implement a unified semantic data layer, integrating heterogeneous data sources and enabling AI interactions while ensuring security and compliance across the organization.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

The Strategic Account Director connects presales strategy with post-sales execution, fosters collaboration, and develops client relationships to drive successful marketing outcomes.

The Lead Software Engineer will design scalable distributed systems on AWS and Kubernetes, mentor engineers, and influence technical direction across teams while ensuring system performance and reliability for marketing intelligence products.