Vultr
Senior Technical Product Manager, GPU Orchestration
Remote - United States · Senior
Sponsorship not specified$130k-$165kDetected 69 days ago
Distributed SystemsCloud PlatformsKubernetesAPI DevelopmentMachine LearningProduct ManagementProduct StrategyEmbedded SystemsCommunication
About the role
- In December 2024 Vultr announced an equity financing at a $3.5 billion valuation.
- 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 your opportunity to join our fast growing team and leave your mark on Vultr and the future of AI Infrastructure.
Responsibilities
- Own the end-to-end cluster lifecycle, including provisioning, configuration, upgrades, scaling, high availability, and decommissioning
- Drive integration between orchestration services and core infrastructure components, including networking, storage, identity, observability, and billing systems
- 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
Requirements
- 7+ years of product management experience in cloud infrastructure, container orchestration, HPC, or developer platforms
- Experience defining product strategy and roadmaps for platform or infrastructure products at scale
- 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
- 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)
- Deep understanding of Kubernetes, Slurm, or similar orchestration and scheduling systems, including GPU scheduling, resource management, and multi-tenant isolation
- Strong technical background - ability to engage with engineering on cluster lifecycle, control plane reliability, API design, and distributed systems
- Experience working across cross-functional teams (engineering, design, marketing, sales) in a fast-paced environment
Compensation
- Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws.
- Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted.
- We also take your privacy seriously.
- We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India's Digital Personal Data Protection Act, 2023.
- Your data is used only for legitimate business purposes and is protected with proper security measures.
- Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications.
Benefits
- 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
- Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
- Internet reimbursement up to $75 per month
- Gym membership reimbursement up to $50 per month
- $500 stipend for remote office setup in first year + $400 each following year
Company info
- 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 33 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
- 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 33 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.
- 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.
- Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
- Company paid Wellable subscription
- Vultr is seeking a highly skilled and experienced Senior Techincal 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.
- 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.
Equal opportunity
- We are an equal opportunity employer and are committed to creating an inclusive environment for all employees.
Visa & Work Authorization
- Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications.
This listing is sourced directly from Vultr's careers page and normalized into a canonical job model.