Product Director - IaaS

Posted 7 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
150K-240K
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
Lead a team of technical product managers focusing on IaaS services, develop product roadmaps, and ensure delivery of complex cloud products.
Summary Generated by Built In

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

We’re looking for an experienced and highly motivated Group Product Manager / Product Director for IaaS to join our team. This role will lead a team of technical product managers across various domains such as Compute, Networking, Kubernetes and Storage. You will play a pivotal role in shaping the future of our cloud services and ensuring the delivery of high-quality products that meet the sophisticated needs of our customers.


In this position, your responsibility will be to:

  • Lead and manage a team of technical product managers in Compute, Networking, Kubernetes and Storage domains
  • Develop and maintain a strategic product roadmap aligned with business goals and customer needs
  • Ensure the successful delivery of key projects involving IaaS services
  • Collaborate closely with engineering teams to define product features, functionality and requirements
  • Formulate and prioritize backlogs for various teams, ensuring alignment with company objectives
  • Engage with customers to gather insights and feedback, translating them into actionable product improvements
  • Oversee and ensure the performance and reliability of IaaS services
  • Stay updated with industry trends and advancements in IaaS technologies to inform product strategy


Requirements:

  • Extensive technical expertise in the IaaS stack, specifically in Compute (virtualization), Networking (including cloud networking) and Storage (block, file, S3). Deep technical knowledge in at least two of these areas is essential.
  • 5+ years of experience in B2B product management, including leading product management teams and engaging with non-technical business teams.
  • Proven track record of managing and delivering complex technical products
  • Exceptional communication skills and the ability to engage with CxO-level stakeholders effectively
  • Leadership qualities that inspire and guide multiple development teams towards achieving product goals


Preferred Experience:

  • Candidates from hyperscalers (AWS, GCP, Azure) or other public cloud providers
  • Relevant experience in building private clouds within big tech companies (FAANG) or smaller tech firms
  • Global market experience
  • MBA or equivalent business expertise
  • Experience with ML and HPC


Compensation:
We offer competitive salaries, ranging from 150K to 240K base + quarterly bonuses and equity options based on your experience, skills, and location.

What we offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Hybrid working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Top Skills

Cloud Networking
Compute
Hpc
Iaas
Kubernetes
Ml
Networking
Storage
Virtualization
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The Company
473 Employees
On-site Workplace

What We Do

Cloud platform specifically designed to train AI models

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