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1 месяц назад

Product Manager, Cloud Platform Services (AI Cloud)

110 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager, Cloud Platform Services (AI Cloud): Building user-facing storage, networking, compute, and managed cloud platform services for AI workloads with an accent on cloud-native architecture, developer experience, and multi-tenant infrastructure. Focus on translating ambiguous customer and market needs into product requirements, coordinating multi-quarter delivery, and measuring reliability, cluster provisioning speed, workload density, cost efficiency, and platform usability.

Location: AMER

Salary: $110,000–$200,000 USD base salary per year, with potential bonus, equity, and/or commission.

Company

Nscale is building a vertically integrated GenAI cloud platform spanning data centers, software, and applications for the AI stack.

What you will do

  • Own the planning and delivery of platform services covering storage, networking, and compute instances.
  • Partner with platform and cloud-native engineers to deliver roadmap items through APIs, UI, CLI, and Terraform.
  • Lead cross-functional initiatives from problem framing through launch, measurement, and ongoing product evolution.
  • Translate customer needs and market trends across AI/ML workloads, GPU scheduling, multi-tenant platforms, and enterprise operations into product requirements.
  • Clarify ambiguous problems, align cloud, infrastructure, and go-to-market stakeholders, and define successful outcomes.
  • Shape platform experiences with design and research while defining metrics for reliability, cluster provisioning speed, workload density, cost efficiency, and developer experience.

Requirements

  • 2–3 years of product management experience in software or technology, with ownership of significant product areas.
  • Hands-on experience building or shipping products on cloud platforms and strong knowledge of cloud-native services.
  • Technical fluency in architecture, trade-offs, distributed systems, and multi-tenant platforms.
  • Ability to turn ambiguous infrastructure or platform problems into shipped product outcomes.
  • Experience mentoring or informally leading peers.
  • Excellent written and verbal communication across engineering, customer, and executive audiences.

Nice to have

  • Familiarity with Kubernetes, container runtimes, schedulers such as kube-scheduler or Slurm, operators, service meshes, and workload autoscaling.
  • Experience with GPU scheduling, accelerated computing, or AI/ML workloads on Kubernetes.
  • Background in cloud infrastructure, developer platforms, enterprise software, or AI/ML products.
  • Experience in high-growth or early-stage environments.

Culture & Benefits

  • Culture centered on innovation, ownership, accountability, openness, and transparency.
  • Collaboration across engineering, design, research, and go-to-market teams.
  • Medical, dental, and vision benefits.
  • Flexible paid time off, parental leave, and retirement plan participation.
  • Potential bonus, equity, and/or commission programs.

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