The lead will build Verda's global inventory management system from the ground up, establishing data models, tracking standards, and operational workflows for serialized hardware. They will integrate inventory with ERP and finance tools while scaling the operating model across multiple international datacenter locations.
Verda
8 Remote Job Openings at Verda
Lead the end-to-end process of identifying, evaluating, and securing new colocation and data center capacity across Germany. Manage commercial agreements, procurement processes, and coordinate internal workstreams to deliver infrastructure expansion on time and within budget.
Lead the end-to-end process of identifying, evaluating, and securing new colocation and data center capacity across Spain. Manage commercial agreements, procurement processes, and coordinate internal workstreams to deliver infrastructure expansion on time and within budget.
Identify and secure powered land and power shell opportunities across EMEA, with a primary focus on the Nordics. Manage the entire acquisition process from initial site evaluation and broker relations to closing deals and coordinating with legal and finance teams.
Lead the end-to-end process of identifying, evaluating, and contracting new data center capacity across the APAC region. Coordinate with technical and legal teams to move sites from identification to operational readiness.
Build and operate a confidential computing platform using AMD SEV-SNP and NVIDIA technologies to enable secure execution environments. Implement attestation workflows and resolve issues across the host OS, hypervisor, and guest environments.
Lead the end-to-end delivery of mission-critical AI infrastructure, managing both large-scale greenfield builds and colocation fit-outs. Coordinate between internal engineering teams and external vendors to ensure capacity is delivered safely and on time.
Collaborate with strategic GPU customers to optimize training and inference workloads on the Verda platform. Contribute to the development of internal ML platform features on Kubernetes, including job scheduling and workflow orchestration.