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Remote, Oregon, United States
Remote only
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.
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
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.
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.
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