Top Tech Jobs & Startup Jobs in Columbus, OH

The QA Analyst Contractor will conduct testing on the Smarkets and BetSBK platforms, providing feedback and documentation to ensure the products meet quality standards for the Indiana market.

As the first Account Manager, you'll oversee partner accounts, manage relationships, coordinate across teams, and ensure seamless communication and engagement, driving program success and renewal.

The Sr. Product Manager will lead the MarTech ecosystem execution, driving customer engagement strategies, managing product roadmaps, and ensuring cross-team collaboration on marketing technology initiatives.

The Data & CVML Manager leads the development of autonomy for vehicles, focusing on data and ML processes from collection to deployment, while managing a team and ensuring technical performance aligned with safety requirements.

Lead growth and demand-generation using HappyCos multifamily data. Create real deliverables (demand-gen campaign, AI workflow, or a novel growth idea), record a 4-6 hour Loom walkthrough, and apply via email. Expected use of AI tools; role is full-time, remote (US), focused on turning inspection and maintenance data into pipeline and measurable growth.

The Accountant II will perform intermediate accounting tasks, financial reporting, and assist with audits while ensuring compliance with regulations and accuracy of financial data.

Wavelength Strategy seeks an experienced Video Editor/Motion Graphics Artist to produce ad-length video content for Democratic campaigns, requiring proficiency in After Effects and post-production skills.

The Senior Director of SaaS Implementations leads a global team to deliver implementation services for SaaS solutions, drives operational excellence, enhances customer satisfaction, and optimizes resource allocation.

As a Senior Software Engineer, you will develop and maintain Alpaca's platform services, including event streaming infrastructure and authentication systems, while ensuring software quality and reliability.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.