Staff/Sr. Staff Product Lifecycle Management Manager
Crusoe(1 month ago)
About this role
The Staff/Sr. Staff Product Lifecycle Management (PLM) Manager at Crusoe is responsible for architecting and implementing a global PLM system to optimize capacity planning and operational efficiency for the company’s cloud infrastructure and AI hardware products. This leadership role involves managing the technical deployment of PLM tools, establishing data governance frameworks, and ensuring seamless integration with key enterprise platforms while driving process improvements and configuration management. The PLM Manager acts as a cross-functional leader, collaborating with various stakeholders to facilitate the transition to an Original Design Manufacturer (ODM) model, thus enhancing supply chain resilience and accelerating time-to-market.
Required Skills
- Capacity Planning
- Strategic Planning
- Operational Excellence
- System Implementation
- Data Governance
- Integration Architecture
- BOM Management
- Configuration Control
- Change Management
- Dual-Sourcing Enablement
+11 more
Qualifications
- Bachelor's degree in a directly related field (e.g., Engineering, Computer Science, or Supply Chain Management)
- 10+ years of progressive, relevant experience in Product Lifecycle Management or configuration management within a hardware, high-tech, or data center environment
- Expert-level knowledge and implementation experience with one or more major PLM tools (e.g., Arena PLM, Oracle Agile, SAP PLM, Siemens Teamcenter, or PTC Windchill)
- Master’s degree in Engineering, Computer Science, or Business Administration (MBA) (Bonus)
About Crusoe
crusoe.aiCrusoe is a leading provider of next-generation AI infrastructure that focuses on renewable-powered cloud computing solutions. By employing an energy-first approach, Crusoe enables businesses to deploy AI workloads at scale while ensuring reliable performance and round-the-clock support. The company is committed to advancing sustainable technology, making it a strategic partner for organizations looking to enhance their AI capabilities in an environmentally conscious manner.
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