Vultr

Senior Technical Product Manager, GPU Orchestration

Vultr · United States

  • Hybrid
  • Full-time
  • $165,000 / year
  • United States

Job highlights

  • Own GPU orchestration product line for AI/HPC workloads.
  • Define roadmap for Kubernetes, Slurm, and integrations.
  • Manage cluster lifecycle and GPU resource scheduling.
  • Drive integration with core infrastructure components.
  • Design APIs and self-service management tools.

About the role

About Vultr

Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 32 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company.

Vultr Cares

  • 100% company-paid insurance premiums for employee medical, dental and vision plans.
  • 401(k) plan that matches 100% up to 4%, with immediate vesting
  • Professional Development Reimbursement of $2,500 each year
  • 11 Holidays + Paid Time Off Accrual + Rollover Plan
  • Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
  • $500 stipend for remote office setup in first year + $400 each following year
  • Internet reimbursement up to $75 per month
  • Gym membership reimbursement up to $50 per month
  • Company paid Wellable subscription

Join Vultr - Senior Technical Product Manager, GPU Orchestration

Vultr is seeking a highly skilled and experienced Senior Technical Product Manager to own the GPU Orchestration product line — the platform that powers managed Kubernetes, managed Slurm, SUNK, and Run:ai integration for GPU-based AI and HPC workloads. The ideal candidate brings deep technical fluency in container orchestration, HPC scheduling, and distributed systems, combined with a strong product instinct for developer and operator platforms. This is a highly visible role in a high-growth technology company, which will require close partnership with Infrastructure, Compute, Networking, and Platform teams to build a reliable, scalable, and cost-efficient orchestration platform. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of AI Infrastructure.

Key Responsibilities

  • Define and execute the roadmap for managed Kubernetes, managed Slurm services, SUNK, and Run:ai integration
  • Own the end-to-end cluster lifecycle, including provisioning, configuration, upgrades, scaling, high availability, and decommissioning
  • Establish scheduling and resource management capabilities for GPU workloads, including quotas, fair-share policies, multi-tenant isolation, and priority handling
  • Drive integration between orchestration services and core infrastructure components, including networking, storage, identity, observability, and billing systems
  • Define service-level objectives for control plane reliability, job scheduling latency, cluster availability, and upgrade stability
  • Design APIs, CLI tooling, and UI workflows that enable self-service cluster management and workload operations
  • Partner with customer-facing teams to understand training, inference, and HPC use cases, translating real workload requirements into product capabilities
  • Monitor industry trends in container orchestration, HPC scheduling, distributed systems, and AI infrastructure to inform product direction

Qualifications

  • 7+ years of product management experience in cloud infrastructure, container orchestration, HPC, or developer platforms
  • Deep understanding of Kubernetes, Slurm, or similar orchestration and scheduling systems, including GPU scheduling, resource management, and multi-tenant isolation
  • Experience defining product strategy and roadmaps for platform or infrastructure products at scale
  • Strong technical background — ability to engage with engineering on cluster lifecycle, control plane reliability, API design, and distributed systems
  • Experience with AI/ML infrastructure, including training workloads, inference serving, and GPU resource optimization
  • Track record of shipping developer- and operator-facing products with measurable impact on reliability, adoption, or operational efficiency
  • Experience working across cross-functional teams (engineering, design, marketing, sales) in a fast-paced environment
  • Excellent written and verbal communication skills, with the ability to translate complex technical concepts for diverse audiences
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Key skills/competency

  • Technical Product Management
  • GPU Orchestration
  • Kubernetes
  • HPC Scheduling
  • Distributed Systems
  • Cloud Infrastructure
  • AI/ML Infrastructure
  • Developer Platforms
  • API Design
  • Roadmap Definition

Skills & topics

  • Technical Product Manager
  • Product Management
  • GPU Orchestration
  • Kubernetes
  • HPC
  • Cloud Infrastructure
  • AI
  • Machine Learning
  • Distributed Systems
  • Developer Platforms

How to get hired

  • Tailor your resume: Highlight experience with Kubernetes, Slurm, GPU orchestration, and product management for cloud infrastructure.
  • Showcase technical depth: Emphasize your understanding of distributed systems, API design, and AI/ML infrastructure.
  • Quantify achievements: Provide metrics on product impact, reliability, and operational efficiency.
  • Prepare for technical interviews: Be ready to discuss cluster lifecycle management, resource scheduling, and API design.
  • Demonstrate cross-functional collaboration: Illustrate your experience working with engineering, design, and other teams.

Technical preparation

Study Kubernetes and Slurm internals.,Practice designing cloud infrastructure APIs.,Review GPU scheduling and resource management concepts.,Understand distributed systems architecture.

Behavioral questions

Describe a complex product strategy you defined.,How do you handle cross-functional team disagreements?,Share an experience of shipping a technical product.,How do you translate user needs into features?

Frequently asked questions

What is the compensation range for the Senior Technical Product Manager, GPU Orchestration role at Vultr?
The compensation range for the Senior Technical Product Manager, GPU Orchestration role at Vultr is $130,000 - $165,000 annually. The final compensation will be determined based on factors such as years of experience, skill set, location, and applicable laws.
What are the key responsibilities of the Senior Technical Product Manager, GPU Orchestration at Vultr?
The key responsibilities include defining and executing the roadmap for GPU orchestration products (managed Kubernetes, Slurm, SUNK, Run:ai integration), owning the end-to-end cluster lifecycle, establishing scheduling and resource management for GPU workloads, and driving integration with core infrastructure components.
What technical skills are most important for a Senior Technical Product Manager at Vultr?
Essential technical skills include a deep understanding of Kubernetes, Slurm, or similar orchestration/scheduling systems, particularly GPU scheduling and resource management. Experience with distributed systems, API design, and AI/ML infrastructure is also crucial.
Does Vultr offer remote work for the Senior Technical Product Manager, GPU Orchestration position?
The job description does not explicitly state the work arrangement for this role. However, Vultr does provide a stipend for remote office setup, suggesting that remote or hybrid arrangements may be possible. It's recommended to clarify this during the application process.
How can I tailor my resume for the Senior Technical Product Manager, GPU Orchestration role at Vultr?
To tailor your resume for this role at Vultr, emphasize your experience in cloud infrastructure, container orchestration, HPC, and developer platforms. Highlight specific accomplishments related to GPU orchestration, Kubernetes, Slurm, and your ability to define product strategy and roadmaps for infrastructure products at scale.
What is Vultr's valuation and funding status?
Vultr announced an equity financing at a $3.5 billion valuation in December 2024. The company was founded by David Aninowsky and has been self-funded for over a decade, growing to become the world's largest privately-held cloud infrastructure company.
What benefits does Vultr offer its employees?
Vultr offers comprehensive benefits including 100% company-paid insurance premiums for medical, dental, and vision. They also provide a 401(k) with immediate vesting, professional development reimbursement, generous PTO, paid sabbaticals, and stipends for remote office setup and internet.