Group Product Manager, Compute Platform

Coupang; Seattle (WA); On-site; USD 155,000 - 267,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

401K Plan with Company Match

Paid Time Off (PTO)

Job summary

Coupang is seeking a Group Product Manager in Seattle to own the foundational compute platform powering enterprise AI workloads. The role involves managing capacity, provisioning, and customer experience for GPU and CPU resources.

The ideal candidate will have over 8 years of experience in product management within cloud infrastructure, particularly focusing on AI workloads. Strong analytical skills and excellent communication abilities are essential for this role.

Qualifications

• 8+ years of relevant product management experience in cloud infrastructure or AI workloads.
• Experience defining infrastructure products based on customer requirements.
• Strong analytical judgment on capacity planning and utilization.
• Excellent verbal and written communication skills.

Responsibilities

• Define product strategy and roadmap for compute platform.
• Own product lifecycle from capacity to customer-ready compute.
• Collaborate with engineering to ensure fleet readiness.
• Track product metrics on capacity and provisioning.

Skills

Product management

Cloud infrastructure

Technical product management

GPU cloud

Fleet management

Capacity management

Virtualization

AI workload requirements

Education

8+ years in product management

Tools

Kubernetes

Slurm

Ray

Job description

Group Product Manager

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.

This role sits at the compute foundation layer. It enables higher-level orchestration and workload services such as Kubernetes, Slurm, Ray, jobs, notebooks, and inference endpoints. The candidate should understand how those orchestration and workload systems depend on foundational compute infrastructure.

Key Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Basic Qualifications

• 8+ years of product management, technical product management, or equivalent product leadership experience in cloud infrastructure, compute, virtualization, GPU cloud, HPC, private cloud, or enterprise infrastructure platforms.
• 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.
• Ability to translate customer AI workload needs, such as distributed training, inference serving, data movement, checkpointing, and cluster operations, into product requirements for compute capacity, lifecycle, observability, and enterprise readiness.
• Experience partnering with engineering and infrastructure teams on technically complex systems while driving product outcomes, roadmap decisions, prioritization, and business impact.
• Experience supporting enterprise customers, including workload discovery, requirements definition, launch readiness, customer‑facing documentation, GTM enablement, and post‑launch adoption measurement.
• Strong analytical judgment around workload requirements, utilization, capacity planning, product readiness, revenue impact, support cost, and customer adoption.
• Strong written and verbal communication skills with engineering, infrastructure operations, finance, sales, support, executive stakeholders, and enterprise customers.

Preferred Qualifications

• Experience at a hyperscaler, neo‑cloud, GPU cloud provider, HPC cloud provider, private cloud platform, or infrastructure SaaS company.
• Experience with NVIDIA GPU infrastructure, CUDA, NCCL, OFED, driver compatibility, firmware lifecycle, GPU health/telemetry, or supported GPU software stack management.
• 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.

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At CIC, your base pay is one part of your total compensation. The base pay for this position ranges from $155,000/year to $267,000/year. Pay is based on several factors including market location and may vary depending on job‑related knowledge, skills, and experience.

General Description of All Benefits

Medical/Dental/Vision/Life, AD&D insurance, Flexible Spending Accounts (FSA) & Health Savings Account (HSA), Long‑term/Short‑term Disability, Employee Assistance Program (EAP), 401K Plan with Company Match, 18‑21 days of Paid Time Off (PTO) a year based on the tenure, 12 Paid Holidays, Up to 6 weeks of Paid Parental leave, Pre‑tax commuter benefits, MTV - Free Electric Car Charging Station.

General Description of Other Compensation

Other Compensation includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Privacy Notice

• Your personal information will be collected and managed by CIC as stated in the Application Privacy Notice located below.

Equal Opportunity Employer Statement

CIC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military 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 characteristic or class protected by the laws or regulations in the locations where we operate. CIC is also committed to providing a safe work environment for its employees and its consumers.