Solution Specialist, Data Services

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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Core Weave is constantly launching new services that change what customers can build on AI infrastructure, and the data layer is one of its most important new frontiers. As a Solution Specialist for Data Services, you are the person who opens that frontier. You identify new market opportunities where data architecture, mobility, and pipeline design unlock GPU adoption, and you drive the initial adoption of Core Weave's newest data capabilities with the earliest customers across new industries.

You turn what you learn in the field into direct input on the product roadmap, and you make the broader sales and solution architecture organization fluent in the value these new services create.

As a Solution Specialist for Data Services, you operate at the leading edge of Core Weave's go-to-market motion. Your job is not to run an established playbook; it is to create one. You take newly launched data services (high-throughput data movement, plus support for the databases, indexes, and data structures behind AI training, high-concurrency inference, and agentic workloads) into new accounts and new industries, prove their value with the first wave of customers, and establish the repeatable patterns that sales and solution architects use to scale adoption.

Along the way you are the field's voice into engineering, translating what early customers need into the priorities that shape Core Weave's data and storage roadmap.

• Own the commercial and technical strategy for net new customer wins in data infrastructure, where storage architecture, data mobility, and pipeline design are the primary buying triggers.
• Drive new business opportunities where data migration complexity, egress costs, or multi-cloud sprawl are the barrier to GPU adoption at scale.
• Translate customer requirements around data lakes, vector databases, and high-speed storage tiers into specific product feedback that shapes Core Weave's storage roadmap.
• Develop deal structures, technical playbooks, and benchmark narratives that help sales and SA teams accelerate storage-heavy opportunities.
• Engage directly with enterprise buyers as the authoritative voice on data gravity, multi-cloud networking, and the total cost of moving workloads to Core Weave.
• 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.

• 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.
• 5+ years working with multi-cloud networking and data transfer protocols (S3, rsync, WAN optimization) in a customer-facing or deal-shaping capacity.
• Deep working knowledge of storage technologies including NVMe-over-Fabric, POSIX file systems, and object storage, with the ability to translate that into commercial differentiation.
• Experience deploying and tuning large-scale database clusters (SQL, No
  
  SQL, 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 (CSI drivers, persistent volumes) and how it impacts workload portability and platform stickiness.

• 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.
• 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.

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