Top Tech Jobs & Startup Jobs in Columbus, OH

The Executive Assistant will manage executive schedules, coordinate meetings, assist with projects, arrange travel, process expenses, and maintain executive records.

Own full enterprise sales cycle across the Americas for freight forwarders, LSPs, and BCOs. Build pipeline, manage complex opportunities, close new customers, develop territory plans, and collaborate cross-functionally to influence product and GTM while maintaining CRM hygiene and forecasting.

Client Support Service Professionals manage incoming calls regarding Brokerage account inquiries, ensuring accuracy and efficiency while meeting performance metrics.

Negotiate and manage business/enterprise telecommunications and other service agreements for multifamily clients. Review client surveys and existing contracts, identify vendor proposal opportunities, prepare financial proposal summaries, proof contracts, and manage a high volume of projects remotely. Occasional travel (~5%) to vendor and staff meetings.

The Lead Canvass Director oversees a fundraising team's operations, manages donor acquisition and retention goals, and leads by example in the field. Responsibilities include team management, strategic planning, ensuring operational efficiency, and fostering an inclusive workplace culture.

Conduct outbound prospecting to identify potential customers, schedule calls, track interactions in CRM, collaborate with teams, and achieve sales quotas.

Develop server-side Java applications on Linux, focusing on network performance management and cloud technologies. Participate in all software development phases and offer mentorship.

Provide technical support for desktops and laptops, troubleshoot issues, and ensure customer satisfaction through effective communication and timely service delivery.

The Cybersecurity Engineer will research, develop, implement advanced threat detection use cases, maintain detection logic, and enhance security monitoring capabilities to strengthen cybersecurity posture for a DoD customer.

Design, build, and maintain scalable cloud-based data pipelines and lakehouse platforms. Integrate diverse business systems, ensure data quality, support analytics and AI, implement governance, and mentor junior engineers while optimizing performance and enabling enterprise reporting and ML use cases.