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Senior Technical Product Manager, GPU Orchestration

This is a remote senior technical product manager role focused on GPU orchestration and cloud infrastructure. The PM will own the end-to-end GPU Orchestration product line, including managed Kubernetes, managed Slurm, SUNK, and Run:ai integration. This role requires deep technical fluency in container orchestration, HPC scheduling, and distributed systems, with compensation ranging from $130k–$165k per year.

Seniority

Senior

Product Area

infrastructure

Work Style

Remote

Salary

$130k–165k/yr

Location

US

Type

Full_time

Role type

Skills

Required

  • container orchestration
  • HPC scheduling
  • distributed systems
  • Kubernetes
  • Slurm
  • GPU scheduling
  • resource management
  • multi-tenant isolation
  • AI/ML infrastructure
  • training workloads
  • inference serving
  • API design

Benefits

HealthDentalVision401kRetirement MatchPTOParental LeaveLearning BudgetHome Office StipendWellnessOffsite
Full job description
Location Type: Remote Location: Remote - United States Employment Type: FullTime Department: Engineering WHO WE ARE 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 - 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 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. 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) Compensation $130,000 - $165,000 Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws. INCLUSION & PRIVACY We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under 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. For more details, please see our Privacy Policy https://www.vultr.com/legal/privacy/.

Vultr is an independent global cloud infrastructure platform that lets developers and enterprises spin up virtual machines, bare metal servers, Kubernetes clusters, storage, and AMD and NVIDIA GPUs across 33 data center regions. It is positioning itself as an AI-first alternative to the hyperscalers, offering on-demand H100, B200, and AMD Instinct GPUs alongside a $2.50/month cloud compute tier that keeps it popular with indie developers. Founded in 2014 and bootstrapped for a decade before taking outside investment, it bills itself as the largest privately held cloud infrastructure company. The team is remote-first across the US and beyond, with a one-month paid sabbatical every five years and full home-office reimbursements.

Developer Tools & InfrastructureAI & Machine LearningSabbaticalParental leaveHome office stipendWellness stipendGenerous PTO

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