About Cirrascale

Cirrascale Cloud Services provides high-performance cloud infrastructure purpose-built for deep learning, generative AI, and large-scale AI inference workloads. We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful hardware with white-glove service and flexible, custom-built environments.

About the role

Cirrascale is seeking a highly organized and detail-oriented Asset Manager to oversee the complete lifecycle of data center assets supporting high-performance AI and GPU infrastructure. This individual will be responsible for ensuring accurate receipt, tracking, storage, deployment, auditing, maintenance, and disposition of enterprise IT assets across multiple data center locations.

The Asset Manager will work closely with Logistics, Data Center Operations, Engineering, Procurement, Finance, Security, and external vendors to ensure asset integrity, inventory accuracy, regulatory compliance, and operational efficiency. This role is critical to maintaining operational readiness within a fast-paced AI infrastructure environment.

Key Responsibilities

Asset Lifecycle Management

• Manage the complete lifecycle of all IT and data center assets from procurement through retirement.
• Maintain accurate asset records within the Asset Management System (AMS).
• Track ownership, serial numbers, locations, warranty status, depreciation, and lifecycle status.
• Ensure every asset is properly tagged and documented.
• Develop standardized asset management procedures and documentation.

Inventory Management

• Maintain real-time inventory accuracy exceeding 99%.
• Perform daily inventory reconciliation.
• Conduct scheduled cycle counts and annual physical inventories.
• Investigate inventory discrepancies and implement corrective actions.
• Manage warehouse inventory levels and replenishment.

Receiving & Deployment

• Oversee receipt and inspection of all incoming equipment.
• Verify shipments against purchase orders and packing lists.
• Coordinate asset staging prior to deployment.
• Ensure accurate transfer of custody between departments.
• Support rack-and-stack operations by providing validated inventory.

Asset Tracking

Manage tracking for:

• Lenovo/Dell/Supermicro GPU servers
• AI clusters
• Storage systems
• Network equipment
• PDUs
• Racks
• Power equipment
• Fiber infrastructure
• Spare parts
• Customer-owned equipment
• Loaner equipment
• Test equipment

Asset Auditing

• Lead internal and external asset audits.
• Ensure compliance with company policies.
• Support Finance during capitalization audits.
• Support customer asset verification.

·        Keep documentation audit-ready at all times.

Compliance

Ensure compliance with:

• ISO 27001
• SOC 2
• Customer security requirements
• Internal asset handling procedures
• Chain-of-custody requirements
• Data destruction policies
• Environmental disposal regulations

Reporting

Develop executive dashboards and reports including:

• Inventory accuracy
• Asset utilization
• Aging inventory
• Warranty expiration
• Capital asset tracking
• Equipment deployment metrics
• Asset turnover
• Loss prevention metrics
• Audit findings
• KPI reporting

Vendor Coordination

• Coordinate with manufacturers and suppliers.
• Manage RMAs and warranty replacements.
• Validate shipments from OEM partners.
• Coordinate equipment returns.
• Manage surplus equipment disposition.

Process Improvement

• Develop automation opportunities for inventory management.
• Improve warehouse workflows.
• Reduce inventory discrepancies.
• Standardize receiving processes.
• Create operational SOPs.
• Improve reporting capabilities.

Required Qualifications

• Bachelor's degree in Business, Supply Chain, Information Technology, Logistics, or related field (or equivalent experience).
• 5+ years of enterprise asset management experience.
• 3+ years supporting enterprise data centers or critical infrastructure.
• Experience managing high-value technology assets.
• Strong inventory control background.
• Experience supporting financial asset audits.
• Experience with Enterprise Resource Planning (ERP) and Asset Management systems.
• Strong analytical and reporting skills.
• Advanced Microsoft Excel skills.
• Experience creating dashboards and KPIs.

Preferred Qualifications

Experience supporting AI infrastructure including:

• GPU clusters
• High-density compute environments
• Liquid-cooled infrastructure
• Colocation facilities
• Enterprise data centers
• Cloud infrastructure providers

Experience with:

• Jira
• Confluence
• Systems Applications and Products (SAP)
• NetBox
• Microsoft Power BI
• Teams
• Barcode/RFID inventory systems

Knowledge & Skills

• Enterprise Asset Management
• Inventory Control
• Warehouse Operations
• Financial Asset Tracking
• Capital Equipment Management
• Supply Chain Operations
• Procurement Coordination
• Data Center Operations
• Chain of Custody
• Asset Auditing
• KPI Development
• Root Cause Analysis
• Continuous Process Improvement
• Documentation Management
• Risk Assessment

Salary Range (HR ONLY)

The base salary range for the Assets Manager is $110,000 to $120,000 USD. This pay range reflects the broad, minimum to maximum, pay range for this job for the location for which it has been posted. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.

Benefits

Comprehensive benefits package, including health, dental, and vision insurance, retirement plans, paid time off, and opportunities for professional development.

Why Join Cirrascale?

Join a growing team that's pushing the boundaries of AI infrastructure. At Cirrascale, you’ll contribute to projects powering next-generation AI applications while working with top-tier hardware in a collaborative and innovative environment. From custom deployments to hands-on customer support, every role here plays a part in enabling breakthroughs in AI.