Senior Product Manager, AI Infrastructure

Vultr

Senior Product Manager managing AI infrastructure capabilities for Vultr and working directly with customers. Collaborating with engineering teams to deliver large-scale GPU workload solutions.

Posted 6/9/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $130,000 - $165,000 per yearWebsite

Tech Stack

Tools & technologies

CloudKubernetes

About the role

Key responsibilities & impact

Own the discovery and definition of customer requirements for AI infrastructure use cases, including training, inference, GPU clusters, bare metal, managed orchestration, networking, and storage
Work directly with strategic customers to understand their technical needs, deployment timelines, workload patterns, and success criteria
Translate customer requirements into clear product requirements, technical specifications, and engineering priorities
Partner closely with engineering, infrastructure, networking, storage, and operations teams to deliver customer-ready solutions
Drive alignment across customer needs, product roadmap, architecture decisions, and delivery execution
Understand and define requirements across GPU compute, CPU, memory, local and shared storage, high-performance networking, cluster topology, and orchestration layers such as Kubernetes and Slurm
Support customer conversations around infrastructure design, capacity planning, performance expectations, operational readiness, and acceptance criteria
Help define product capabilities that can scale beyond a single customer into repeatable AI infrastructure offerings

Requirements

What you’ll need

5+ years of experience in technical product management, with focus on infrastructure, cloud computing, or AI/ML platforms
Deep technical understanding of GPU compute, high-performance networking (InfiniBand, RoCE), distributed storage, and cluster orchestration (Kubernetes, Slurm)
Experience working directly with enterprise customers to define infrastructure requirements and translate them into product specifications
Strong understanding of AI/ML workloads including training, fine-tuning, and inference at scale
Proven ability to collaborate with engineering teams to deliver complex infrastructure products
Excellent written and verbal communication skills, with the ability to engage both technical and executive audiences
Experience with bare metal infrastructure and managed cloud services
Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degree preferred

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

technical product managementGPU computehigh-performance networkingdistributed storagecluster orchestrationKubernetesSlurmAI/ML workloadsinfrastructure designcapacity planning

Soft Skills

collaborationcommunicationcustomer engagementrequirements definitiontechnical specification translationalignmentproblem-solvingstakeholder managementorganizational skillsexecutive engagement

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineeringadvanced degree preferred