Coupang Global LLC

Coupang Global LLC

Group Product Manager, Compute Platform

Mountain View, USA

Sponsorship not specified$18k-$21kDetected 56 days ago
Node.jsCloud PlatformsKubernetesMachine LearningProduct ManagementProduct StrategySalesOnboardingEmbedded SystemsEpicLeadershipCommunication

About the role

  • At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
  • We push the boundaries of what's possible to solve problems and break traditional tradeoffs.
  • This role spans fleet management, capacity management, bare metal, virtualized compute, node lifecycle, placement, reservations, and infrastructure-level customer experience.

Responsibilities

  • Own the product lifecycle from infrastructure capacity to customer-ready compute, including reservation, provisioning, lifecycle actions, observability, billing integration, maintenance, and deprecation, with clear linkage to customer workload readiness.
  • Partner with engineering and infrastructure operations to define fleet readiness, lifecycle states, failure handling, maintenance workflows, and operational requirements.
  • Partner with sales, solutions, support, and finance to understand enterprise AI workload requirements and translate them into compute offerings, including reserved capacity, dedicated infrastructure, and VM/bare metal packaging.
  • Drive roadmap decisions that improve utilization, reduce stranded capacity, increase enterprise readiness, and lower operational support burden.
  • Support enterprise customer discovery and roadmap prioritization for bare metal, VMs, reserved capacity, and dedicated infrastructure, with specific attention to customer workload patterns, performance needs, operational workflows, and production readiness.
  • Create clear product narratives, customer-facing materials, sales enablement, launch plans, and executive updates for enterprise compute offerings.
  • Track product and business metrics such as usable capacity, allocated capacity, stranded capacity, provisioning time, replacement time, utilization, revenue per deployed GPU, and support burden.
  • Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Requirements

  • Experience working backwards from customer workload requirements to define infrastructure products, ideally for AI training, fine-tuning, inference, HPC, data-intensive workloads, or enterprise production systems.
  • Experience with foundational compute products such as virtual machines, bare metal, cloud instances, node pools, fleet management, capacity management, or infrastructure control planes.
  • Strong understanding of infrastructure concepts including provisioning, lifecycle management, placement, quota, reservations, OS images, networking, storage attachment, observability, and billing integration.
  • Familiarity with GPU-based infrastructure and the operational considerations that make compute capacity customer-ready, including drivers, firmware, OS images, high-performance networking, and workload compatibility.
  • Experience partnering with engineering and infrastructure teams on technically complex systems while driving product outcomes, roadmap decisions, prioritization, and business impact.

Nice to have

  • Experience at a hyperscaler, neo-cloud, GPU cloud provider, HPC cloud provider, private cloud platform, or infrastructure SaaS company.
  • Experience with distributed AI training or inference infrastructure, including Slurm, Kubernetes, Ray, model serving platforms, high-performance networking, shared storage, or checkpointing workflows.
  • Experience with reserved capacity, committed-use contracts, dedicated clusters, savings plans, or enterprise infrastructure commitments.
  • Experience with bare metal-as-a-service, GPU passthrough virtualization, VM image lifecycle, custom images, or cloud control plane products.
  • Our compensation reflects the cost of living across several US geographic markets.
  • The base pay for this position ranges from $155,000/year to $267,000/year..
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match

Compensation

  • Our compensation reflects the cost of living across several US geographic markets.

Benefits

  • If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.
  • Those eligible for employment protection (recipients of veteran's benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Company info

  • Coupang is at the forefront of the AI and high-performance computing (HPC) revolution. We are building a next-generation cloud platform designed to provide developers, researchers, and enterprises with seamless, scalable, and powerful access to accelerated computing. As the demand for AI, machine learning, and data-intensive workloads skyrockets, we are looking for a visionary product leader to define the future of our core compute offerings.
  • Job Overview
  • CIC is looking for a Group Product Manager to own the foundational compute platform that powers enterprise AI workloads. This role spans fleet management, capacity management, bare metal, virtualized compute, node lifecycle, placement, reservations, and infrastructure-level customer experience.
  • The Product Manager will be responsible for turning physical GPU and CPU capacity into reliable, customer-ready, observable, and billable compute products. This includes defining how capacity is reserved, provisioned, validated, monitored, maintained, packaged, and exposed to enterprise customers.
  • Define the product strategy and roadmap for CIC's compute platform across fleet, capacity, bare metal, and virtualized compute, working backwards from customer AI workload requirements.
  • Define customer-facing abstractions for capacity, node pools, bare metal instances, VM instances, placement policies, OS/runtime images, and reserved compute based on how customers run AI training, inference, and cluster operations.
  • Define product requirements for supported compute configurations, including GPU type, node shape, OS/runtime image, network/storage attachment, and compatibility expectations for customer AI workloads.
  • Improve the reliability, usability, and supportability of CIC compute products across customer onboarding, provisioning, and day-2 operations.

Equal opportunity

  • equal opportunity employer.

Visa & Work Authorization

  • litary or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other
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