Top Tech Jobs & Startup Jobs in Columbus, OH

Senior Client Executive is a pure-hunter role focused on net-new enterprise logo acquisition: generate aggressive pipeline, convert prospects into multi-million-dollar wins, run targeted outreach campaigns, attend industry events, craft high-impact proposals, navigate complex procurement/legal processes, and align pre-sales with engineering for seamless hand-offs.

The Production Staff roles involve assisting with event setup and teardown, transporting materials, and ensuring safety and functionality of equipment during events.

The Regional Manager leads a sales force, manages area managers, develops client relationships, and drives market growth while traveling extensively to visit auto dealers.

As a Senior ML Ops Engineer, you lead deployment and operational management of ML models, ensuring platform resilience, automation of CI/CD processes, and observability while collaborating with various engineering teams.

Manage and promote ProShares ETFs across select firms in the Great Lakes region. Responsibilities include client management, sales goals, and presentations.

As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications, working with various cloud technologies and collaborating with agile teams.

Own, design, deploy, and support scalable backend and cloud infrastructure (Kubernetes/GCP). Scale databases, build internal developer tooling, provide observability, and mentor other teams. Participate in weekend on-call rotations as primary escalation for production incidents and deliver safe hotfixes and mitigation.

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

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.