Magentic
Magentic is seeking a Data Scientist to apply Large Language Models (LLMs) and AI tooling to solve complex, non-trivial operational challenges within global procurement and supply chain workflows. This role differs from traditional analytics by focusing on deeply working with messy real-world datasets using Python and Jupyter notebooks to prototype intelligent systems that automate workflows and uncover insights without requiring production-level software engineering.
Magentic is an AI agent platform for procurement and supply chain teams at global manufacturers, offering AI teammates called 'Mages' that integrate with existing software and ERP systems to automate workflows, identify savings opportunities, and reduce value leakage. The platform is designed for the messy realities of procurement, including supplier follow-up, invoice management, and contract compliance, always with humans in the loop. Magentic operates on a no-cure-no-pay pricing model and holds SOC 2, ISO 27001, and GDPR certifications.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Magentic.
Magentic didn’t post a salary, so this is our estimate from similar listings.
15% below the average for this role