Senior Product Manager, AI Infrastructure

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 is seeking a Senior Product Manager, AI Infrastructure to work directly with customers and engineering teams to define, build, and deliver AI infrastructure capabilities for large-scale GPU workloads. The ideal candidate deeply understands customer requirements across AI infrastructure and can translate them into clear product and engineering requirements, with strong technical depth across GPU compute, storage, networking, cluster orchestration, and AI workload infrastructure. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure.

Key Responsibilities

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

5+ 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)

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

$130,000 - $165,000

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.