Principal Technical Product Manager, Stratgic Accounts
Vultr
| Company | Vultr |
| Category | Product |
| Location | Remote - United States |
| Remote | Remote |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 17 Jul 2026 |
| Last verified | 10 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
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 knowledg