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. 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! 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 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 Compensation $200,000 - $230,000 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.
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