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1 день назад

Technical Product Manager (AI Compute Platform)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Technical Product Manager (AI Compute Platform): Building and scaling a full-stack AI cloud platform with an accent on GPU orchestration, cluster lifecycle management, and developer experience. Focus on designing hyperscaler-quality APIs, driving cross-team execution, and translating complex customer requirements into robust infrastructure solutions.

Location: Amsterdam, Netherlands or Remote (Europe)

Company

hirify.global is a leading AI cloud platform provider building high-end, training-optimized infrastructure for the global AI economy, headquartered in Amsterdam.

What you will do

  • Own end-to-end product strategy, roadmap, and delivery for a specific slice of the AI compute platform.
  • Design and maintain platform contracts, including APIs, system events, and operational behaviors.
  • Drive cross-team collaboration across engineering, networking, storage, and observability teams.
  • Conduct structured discovery through customer interviews and usage analytics to identify and solve pain points.
  • Engage with engineering leaders as a technical peer to debate system trade-offs and design quality.
  • Define and track success metrics based on measurable customer and platform outcomes.

Requirements

  • 6+ years of experience in Product Management, Platform PM, Infrastructure PM, or SRE/Engineering Lead roles.
  • Strong technical foundation in cloud infrastructure, including API semantics and control-plane vs data-plane behavior.
  • Experience building or operating GPU or HPC infrastructure at scale (thousands of nodes).
  • Proven track record of shipping technically complex platform products with measurable impact.
  • Strong analytical skills and experience leading discovery-heavy work.
  • Must be authorized to work in the country of application.

Nice to have

  • Direct experience with frontier AI customers, ML platform teams, or MLOps.
  • Hands-on experience with NVIDIA reference architectures, CUDA, and NCCL.
  • Background in Kubernetes lifecycle management or Slurm at scale.
  • Experience with observability products like Grafana, Datadog, or Honeycomb.
  • Familiarity with reliability engineering and fault-tolerant systems.

Culture & Benefits

  • Competitive compensation package.
  • International environment with talented engineering teams.
  • Focus on career growth and continuous learning.
  • Collaborative culture emphasizing ownership and bold thinking.
  • Opportunity to work on impactful, large-scale AI projects.

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