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CoreWeave

Rents GPU cloud computing for AI developers

Solution Specialist - Data Services

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of experience in distributed systems, storage engineering, or data architecture, with a track record of applying that expertise to drive customer outcomes and revenue.
  • At least 5 years of experience with multi-cloud networking and data transfer protocols, including S3, rsync, and WAN optimization, in a customer-facing or deal-shaping capacity.
  • Deep working knowledge of storage technologies, including NVMe-over-Fabric, POSIX filesystems, and object storage, and the ability to translate that knowledge into commercial differentiation.
  • Experience deploying and tuning large-scale database clusters (SQL, NoSQL, or vector) and positioning that capability against customer migration and modernization requirements.
  • Strong understanding of BGP, peering, and high-speed data interconnects as they relate to data gravity, egress cost modeling, and enterprise deal structure.
  • Familiarity with Kubernetes-native storage orchestration, including CSI drivers and persistent volumes, and how it affects workload portability and platform stickiness.

Responsibilities

  • Own the commercial and technical strategy for new customer wins in data infrastructure, where storage architecture, data mobility, and pipeline design are primary buying triggers.
  • Drive new business opportunities where data migration complexity, egress costs, or multi-cloud sprawl are barriers to GPU adoption at scale.
  • Translate customer requirements around data lakes, vector databases, and high-speed storage tiers into product feedback that shapes the storage roadmap.
  • Develop deal structures, technical playbooks, and benchmark narratives to help sales and solution architecture teams accelerate storage-heavy opportunities.
  • Engage directly with enterprise buyers as the authority on data gravity, multi-cloud networking, and the total cost of moving workloads to CoreWeave.
  • Design the commercial framework for multi-petabyte data pipeline deals, including egress cost modeling and GPU utilization commitments, to support large enterprise closings.
  • Partner with capacity and infrastructure teams to maintain a competitive edge on storage efficiency, performance, and security across active and prospective customer deployments.

Desired Qualifications

  • Experience driving new business or shaping product strategy in industries with high-density compute and data needs, such as Financial Services, Biotech and Life Sciences, or Media and Entertainment.
  • Prior background in technical sales, solution consulting, or product management supporting large-scale enterprise data infrastructure decisions.
  • Deep understanding of multi-cloud networking architecture and secure data egress and ingress strategies, particularly where compliance and data residency requirements are active deal variables.
  • An advanced degree in Computer Science or Engineering, or equivalent experience with a demonstrated ability to operate at the intersection of technical architecture and commercial strategy.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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