Teams at Magentic

Lead internal operations across people operations, IT and tooling, legal and compliance. Build scalable processes, introduce automation, manage stakeholders, and drive cross-functional projects that improve how the company operates during rapid growth.

Build and operate high-volume ingestion pipelines for procurement and supply-chain data. Design schemas, catalogs, warehouses, lakehouses, and feature stores; establish data quality, monitoring, observability, governance, and lineage standards. Collaborate with AI, Platform, and Product teams to provision reliable datasets for analytics and machine learning. Own end-to-end data solutions, CI/CD, integrations, and architecture supporting enterprise customers.

Own end-to-end AI deployments for enterprise customers, from initial scoping through live rollout. Manage senior stakeholder relationships, lead governance, identify additional customer value, and develop repeatable deployment best practices. Translate customer evidence into product and engineering roadmap input while tracking commercial outcomes. The role requires strong delivery or product experience, complex project management, commercial judgment, clear communication, and comfort operating in an ambiguous early-stage environment.