Vultr
Principal Product Manager, Strategic Accounts at Vultr
$200,000–$230,000 / year
Apply for this positionRole overview
An at-a-glance view of the facts included with this Principal Product Manager, Strategic Accounts at Vultr listing.
- Company
- Vultr
- Location
- Remote, United States
- Work arrangement
- Remote
- Employment type
- Full-time
- Compensation
- $200,000–$230,000 / year
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Role overview
This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.
Vultr is hiring a full-time Principal Product Manager, Strategic Accounts for a remote role in the United States. The position leads product engagement with the company’s largest strategic customers, with a focus on complex AI infrastructure needs—from initial discovery and solution definition through deployment and production readiness. The role connects customer requirements with product priorities, architecture decisions, technical specifications, and engineering delivery. The work calls for customer-facing product leadership and technical fluency across GPU and CPU compute, memory, storage, high-performance networking, bare metal, cluster design, and orchestration technologies such as Kubernetes and Slurm. The product manager will work with customers and internal engineering, infrastructure, networking, storage, and operations groups, while identifying capabilities that could become repeatable offerings beyond an individual customer engagement. Vultr describes itself as a privately held cloud infrastructure company with 33 data center locations and customers in 185 countries. The listed annual compensation range is $200,000–$230,000; final pay may vary based on experience, skills and background, location, and applicable laws. Benefits include company-paid employee medical, dental, and vision premiums; a 401(k) match of 100% up to 4% with immediate vesting; $2,500 in annual professional development reimbursement; 11 holidays and accrued PTO with rollover; additional PTO at three- and ten-year anniversaries; a paid month-long sabbatical every five years; annual anniversary bonuses; a remote-office stipend of $500 in the first year and $400 in subsequent years; internet reimbursement up to $75 per month; gym reimbursement up to $50 per month; and a company-paid Wellable subscription.
Role at a glance: Vultr seeks a remote U.S. Principal Product Manager to lead strategic customer engagements and delivery planning for AI infrastructure solutions.
Responsibilities mentioned in the listing
- Lead requirements discovery and product engagement for Vultr’s most strategic AI infrastructure customers.
- Define customer requirements for AI training, inference, GPU clusters, bare metal, managed orchestration, networking, and storage use cases.
- Work with customers to understand technical needs, deployment schedules, workload patterns, and success measures.
- Convert customer needs into product requirements, technical specifications, and engineering priorities.
- Coordinate with engineering, infrastructure, networking, storage, and operations teams to deliver solutions for customers.
- Align customer requirements with the product roadmap, architecture choices, and delivery plans.
- Define needs across GPU compute, CPU, memory, local and shared storage, high-performance networking, cluster topology, and orchestration layers such as Kubernetes and Slurm.
Qualifications stated in the listing
- At least 8 years of technical product management experience focused on infrastructure, cloud computing, or AI/ML platforms.
- Deep technical knowledge of GPU compute, high-performance networking such as InfiniBand and RoCE, distributed storage, and cluster orchestration with Kubernetes or Slurm.
- Strong AI infrastructure expertise spanning GPU compute, high-performance networking, storage, bare metal, and Kubernetes or Slurm environments.
- Experience working directly with enterprise customers to establish infrastructure requirements and translate them into product specifications.
- Strong understanding of AI/ML workloads, including large-scale training, fine-tuning, and inference.
- Demonstrated ability to work with engineering teams to deliver complex infrastructure products.
- Strong written and verbal communication skills, including the ability to communicate with technical and executive audiences.
- Experience with bare metal infrastructure and managed cloud services.
Full details from the source listing
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
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. 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.
