Top Tech Jobs & Startup Jobs in Columbus, OH

The Quality Assurance Specialist is responsible for testing IT products, developing automation scripts, conducting reviews, and improving QA processes while working on Agile/Scrum projects.

The Goods to Person Specialist generates revenue through sales of automated material handling systems, collaborating with engineering, conducting presentations, and managing sales cycles while influencing C-suite executives.

Develop custom plugins and integrations for cybersecurity software, design data models, and normalize data using log aggregation tools.

As a Digital Account Manager, you will manage client relationships, recommend digital marketing strategies, and achieve sales objectives.

As an Outside Sales Rep, you will maximize revenue, build relationships with customers, prospect new accounts, and utilize CRM tools to develop sales strategies.

The CQV Engineer will author and execute validation documentation, run tests, document results, perform impact assessments, and ensure compliance with GMP in a team setting.

Lead stakeholder meetings to analyze and document current and future-state application and data integrations for GMPD. Translate business needs into technical requirements and process maps, recommend and implement process improvements, support roadmap execution, monitor integration progress, and promote adoption of AI tools across cross-functional teams.

Supervise local delivery and pickup operations at the Columbus fulfillment center. Manage drivers and pickup associates, schedule orders in WorkWave, coordinate with customer service, oversee picking/packing and vehicle maintenance, enforce safety and SOPs, train and develop staff, and collaborate with the General Manager on hiring, performance, and disciplinary matters.

The Account & Relationship Manager builds and maintains relationships with clients, focusing on sales, renewals, and up-selling opportunities. They analyze customer usage data, conduct business reviews, and collaborate with Account Executives to optimize engagement and retention.

Evaluate and design AI-ready data center infrastructure by analyzing AI compute architectures, power and cooling needs, networking impacts, and energy strategies. Develop roadmaps, vendor assessments, and standards for high-density AI deployments across design, construction, operations, and utility coordination.