OneMagnify

HQ
Detroit
Total Offices: 3
610 Total Employees
Year Founded: 1967

Jobs at OneMagnify

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

19 Hours AgoSaved
Remote
USA
Information Technology • Marketing Tech • Analytics
Perform end-to-end data analysis and translate business requirements into scalable data products, reports, dashboards, and data pipelines. Design data models, document architectures (ERDs, dimensional models), support ETL/ELT, data quality, governance, lineage, and enable client adoption of modern analytics and AI-driven solutions through collaboration, training, and troubleshooting.
8 Days AgoSaved
Remote
2 Locations
Information Technology • Marketing Tech • Analytics
As an Accounting Manager, you will lead core accounting operations, ensure accurate financial reporting, and mentor a small team within OneMagnify. You'll influence financial processes and support organizational growth through improved accounting practices and collaboration with other departments.
8 Days AgoSaved
Remote
USA
Information Technology • Marketing Tech • Analytics
The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.
12 Days AgoSaved
Remote
USA
Information Technology • Marketing Tech • Analytics
The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.
12 Days AgoSaved
Remote
USA
Information Technology • Marketing Tech • Analytics
Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.
15 Days AgoSaved
Remote
USA
Information Technology • Marketing Tech • Analytics
Design, analyze, and document data products and technical specifications. Perform large-scale data profiling and SQL analysis, support data governance, partner with stakeholders to remediate issues, and help implement data quality, lineage, and ingestion standards.