[All remote jobs](https://jobicy.com/jobs.md)[![Vultr logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2024/04/4089507a-221.jpeg)](https://jobicy.com/company/vultr.md)[Vultr](https://jobicy.com/company/vultr.md) # Principal Product Manager, Strategic Accounts Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/vultr.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 200k–230k / yrDepartment[Product & Operations](https://jobicy.com/categories/management.md)EmploymentFull TimeExperienceDirectorPublished22 Oct 2026Apply before21 Nov 2026Listing views56Application actions4Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Vultr is seeking a Principal Product Manager to lead product engagement for its largest strategic AI-infrastructure customers. The role owns discovery, requirements definition, technical specifications, and delivery alignment from early customer discussions through production readiness. It requires deep expertise in GPU compute, high-performance networking, distributed storage, bare metal, and orchestration platforms such as Kubernetes and Slurm. The successful candidate will translate enterprise AI workload requirements into scalable product capabilities and executable engineering priorities. This is a senior, customer-facing product leadership role within a US-remote cloud infrastructure environment. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role combines principal-level product ownership with highly technical AI infrastructure requirements and direct engagement with strategic enterprise customers. Success depends on making architecture, roadmap, and delivery trade-offs across multiple specialized engineering domains. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$215,000US market range (per year)$190k–$250k0$275k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a salary range of $200,000–$230,000. The posting does not state a cadence, but yearly pay is inferred from the six-figure range, US location, full-time classification, and principal-level product-management scope. The estimated US annual market range for a principal technical product manager specializing in AI cloud infrastructure is $190,000–$250,000. ## Core skills Skills and capabilities most closely associated with this opportunity. [Technical Product Management](https://jobicy.com/jobs?search_keywords=Technical%20Product%20Management.md)[AI Infrastructure](https://jobicy.com/jobs?search_keywords=AI%20Infrastructure.md)[Cloud Computing](https://jobicy.com/jobs?search_keywords=Cloud%20Computing.md)[GPU Computing](https://jobicy.com/jobs?search_keywords=GPU%20Computing.md)[High-Performance Networking](https://jobicy.com/jobs?search_keywords=High-Performance%20Networking.md)[InfiniBand](https://jobicy.com/jobs?search_keywords=InfiniBand.md)[RoCE](https://jobicy.com/jobs?search_keywords=RoCE.md)[Distributed Storage](https://jobicy.com/jobs?search_keywords=Distributed%20Storage.md)[Bare Metal Infrastructure](https://jobicy.com/jobs?search_keywords=Bare%20Metal%20Infrastructure.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Slurm](https://jobicy.com/jobs?search_keywords=Slurm.md)[Enterprise Customer Discovery](https://jobicy.com/jobs?search_keywords=Enterprise%20Customer%20Discovery.md)[Product Requirements](https://jobicy.com/jobs?search_keywords=Product%20Requirements.md)[Capacity Planning](https://jobicy.com/jobs?search_keywords=Capacity%20Planning.md)[Cross-Functional Leadership](https://jobicy.com/jobs?search_keywords=Cross-Functional%20Leadership.md) Sample interview questionsHow would you turn a strategic customer's AI training-cluster request into a prioritized product plan?I would begin with discovery across workload characteristics, model size, GPU count, data movement, latency and throughput targets, security needs, timeline, and acceptance criteria. I would convert these findings into measurable technical requirements, identify gaps in current capabilities, and align engineering work by customer impact, reuse potential, risk, and delivery dependencies. What factors would you assess when designing GPU infrastructure for large-scale training workloads? I would assess GPU type and topology, CPU and memory balance, local versus shared storage performance, network bandwidth and latency, RDMA support, fault tolerance, orchestration model, observability, capacity availability, and operational support. The design should be validated against the customer's distributed-training framework, dataset characteristics, scaling profile, and service-level expectations. How do Kubernetes and Slurm differ in AI infrastructure product discussions? Kubernetes is commonly used for container orchestration and cloud-native platform workflows, while Slurm is widely used for scheduling batch-oriented high-performance computing and GPU clusters. I would focus on the customer's operational model, workload scheduling patterns, tenancy requirements, ecosystem integrations, and the level of managed abstraction they need before recommending product capabilities. Describe how you would manage conflicting priorities between a strategic customer request and the broader product roadmap. I would make the trade-offs explicit by assessing customer value, revenue or retention impact, engineering cost, delivery risk, and whether the capability can become a reusable product offering. I would present options to stakeholders, seek a minimum viable path where appropriate, and ensure that any customer-specific work has clear boundaries, success metrics, and a plan for broader productization. How would you communicate an infrastructure delivery risk to both an executive customer sponsor and engineering teams? For executives, I would explain the business impact, probability, decision required, mitigation options, and revised timeline in concise language. For engineering teams, I would provide the relevant technical constraints, dependencies, validation criteria, ownership, and escalation path so they can act on the issue effectively. Opportunity details ## About this role. ### 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](https://www.vultr.com/legal/privacy/). 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