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Solution Specialist, AI Runtime Services

CoreWeave· Global Field Organization
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Livingston, NJ, New York, NY, Sunnyvale, CA, San Francisco, CA, Bellevue, WA$207k - $275kfull-timePosted 3mo ago

About the role

Solution Specialist for AI Runtime Services at CoreWeave responsible for bringing new runtime offerings (Inference and Sandboxes) to market, defining commercial and technical strategy, and enabling early customer adoption across AI runtime infrastructure.

Responsibilities

  • Own the commercial and technical strategy for net new customer wins in AI runtime infrastructure, where execution performance, deployment flexibility, and operational reliability are the primary buying triggers.
  • Drive new business opportunities where inference latency, throughput bottlenecks, workload isolation requirements, or operational complexity are barriers to scaling AI on CoreWeave.
  • Develop deep expertise across the AI runtime landscape (model serving architectures, execution scheduling, containerized AI workloads, and secure multi-tenant compute), using Inference and Sandboxes as flagship examples.
  • Translate customer requirements around serving frameworks (e.g., vLLM, TensorRT-LLM, TGI), batching strategies, and execution isolation into product feedback for the roadmap.
  • Develop deal structures, technical playbooks, and benchmark narratives to accelerate runtime-sensitive opportunities across deployment patterns.
  • Engage directly with enterprise and research buyers as the authoritative voice on runtime performance tradeoffs, cost-per-token economics, and architectural decisions for production-scale AI systems.
  • Design the commercial framework for large-scale runtime deployment deals, including throughput modeling, GPU utilization commitments, and SLA structures for enterprise closes.
  • Partner with product and infrastructure teams to maintain a competitive edge on serving efficiency, execution isolation, and operational reliability.

Qualifications

  • 10+ years of experience in distributed systems, ML infrastructure, or production AI engineering with a track record of driving customer outcomes and revenue.
  • 5+ years working with AI runtime systems (model serving, inference optimization, containerized workload execution, or real-time ML pipelines) in a customer-facing or deal-shaping capacity.
  • Deep knowledge of how AI workloads execute at runtime: serving frameworks, batching strategies, GPU memory management, and performance levers for throughput and latency, with familiarity with vLLM, TensorRT-LLM, or Triton.
  • Experience with sandboxed and isolated execution environments (microVMs, container runtimes, secure multi-tenant scheduling).
  • Strong understanding of GPU memory hierarchies, model parallelism, and how runtime decisions impact cost, latency, and scalability for enterprises.
  • Familiarity with Kubernetes-native runtime orchestration (autoscaling, scheduling policies, GPU operators) and its impact on workload portability and platform stickiness.
  • Ability to benchmark, explain, and commercially position runtime performance differences across deployment patterns, instance types, and serving configurations.

Skills

Required:AI runtime systemsServing frameworks familiarity

Benefits

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with employer match
  • Flexible PTO
  • Catered lunch daily in office and data center locations
  • Casual work environment
  • Work culture focused on innovative disruption
Last updated Aug 12, 2026. Interested? Apply on the company site.

About CoreWeave

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