Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (AI Cloud): Owning the quota experience for an AI cloud platform, covering resource access, quota policies, capacity visibility, and customer workflows with an accent on technically complex B2B products, APIs, and policy automation. Focus on improving the quota lifecycle, designing approval and adjustment rules, and helping customers understand GPU, CPU, storage, IP, and preemptible capacity.
Location: Remote in Europe
Company
Nebius builds a full-stack AI cloud platform for data processing, model training, and production deployment, with infrastructure spanning compute, storage, networking, and applied AI.
What you will do
- Define the product vision, roadmap, success metrics, and adoption strategy for the Quotas domain.
- Work with customers and internal stakeholders to identify problems, prioritize opportunities, and deliver measurable improvements.
- Own quota policies and automation, including default limits and rules for automatic adjustment or human review.
- Improve the full quota lifecycle, from requests and approvals to applying and communicating quota changes.
- Own the Capacity Dashboard and Capacity Advisor API to help customers understand on-demand and preemptible capacity before launching workloads.
Requirements
- 5+ years of Product Management experience in cloud infrastructure, developer platforms, enterprise SaaS, or another technical B2B domain.
- Experience owning technically complex products from discovery and strategy through delivery, adoption, and impact measurement.
- Technical depth sufficient to work with engineering teams on APIs, control-plane systems, resource models, and policy enforcement.
- Strong analytical, customer discovery, and stakeholder management skills.
- Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility.
Nice to have
- Experience with cloud quotas, resource governance, entitlements, or policy systems.
- Familiarity with GPU infrastructure, multi-tenant cloud platforms, or AI/ML workloads.
- Experience automating approval workflows and reducing manual operational processes.
Culture & Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility, ownership, and trust.
- Collaborative, innovative, and international work environment.
- Opportunity to work on impactful AI projects with experienced engineering and AI R&D teams.
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