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’s strategic customers often have unique and complex requirements across infrastructure architecture, performance, requiring close product engagement from discovery through production readiness.Vultr is seeking a Principal Product Manager to lead product engagement with our largest and most strategic customers. This role will work directly with customer and cross-functional teams to understand complex AI infrastructure requirements, define solutions, and drive execution from early discovery through deployment and production readiness.

The ideal candidate combines strong customer-facing product leadership with deep technical knowledge across GPU compute, storage, networking, cluster orchestration, and large-scale AI workload infrastructure. They will act as a trusted product partner in Vultr’s most important AI infrastructure engagements, translating customer requirements into clear product priorities, technical specifications, and executable engineering plans.

Key Responsibilities

Lead product engagement and requirements discovery for Vultr’s most strategic AI infrastructure customers

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

Qualifications

8+ 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)

Deep AI infrastructure expertise: strong technical knowledge across GPU compute, high-performance networking, storage, bare metal, and Kubernetes or Slurm environments

Experience working directly with enterprise customers to define infrastructure requirements and translate them into product specifications