5 months ago
Base Salary
$188k - $275k/yr
Responsibilities
- Own the end-to-end business systems and solution architecture for Data Center asset lifecycle.
- Define and evolve asset lifecycle processes from capacity planning to retirement.
- Design and optimize workflows for asset readiness and deployment visibility.
- Manage data models for accurate asset identity and system alignment.
- Build and maintain integrations across Supply Chain, Data Center, and Finance systems.
- Translate business requirements into scalable system solutions.
- Drive system standardization and consolidation for high-volume deployments.
- Define the Data Center systems roadmap focusing on scalability and reliability.
- Ensure systems support auditability and compliance.
- Act as the technical owner for cross-system issues affecting asset data integrity.
Requirements
- 8–12+ years of experience in Business Systems, Enterprise Applications, or Systems Engineering.
- Hands-on experience with ERP systems like NetSuite, SAP, or Oracle.
- Experience with operational platforms such as DCIM or CMDB.
- Proven experience in full asset lifecycle management.
- Experience building integrations across various platforms.
- Strong understanding of asset hierarchy modeling and system design.
- Experience in high-scale infrastructure environments.
- Ability to define scalable architectures in complex environments.
- Experience supporting global data center environments.
- Demonstrated ability to ensure compliance and traceability of assets.
Benefits
- 100% paid medical, dental, and vision insurance.
- Company-paid life insurance and short/long-term disability insurance.
- Tuition reimbursement and participation in Employee Stock Purchase Program.
- Mental wellness benefits and family-forming support.
- Flexible PTO and 401(k) with generous employer match.
- Catered lunch each day and a casual work environment.
Categories
About CoreWeave
CoreWeave provides a GPU-accelerated cloud for AI training and inference, VFX, and rendering, with bare-metal instances, Kubernetes orchestration, and managed services to scale workloads. It sells on-demand and reserved capacity to AI labs, startups, and enterprises, and offers SaaS tools and hands-on support for deployment. Founded in 2017 and headquartered in New York, it is publicly traded on Nasdaq under the ticker CRWV.