Role Overview
The Principal Product Manager, Strategic Accounts is a full-time, remote position based in the United States, focusing on guiding product engagement for Vultr's largest enterprise clients. This opportunity suits an experienced product leader with extensive technical expertise in AI infrastructure, cloud computing, and customer-facing collaboration.
Key Responsibilities
Spearhead product engagement and requirements discovery for major AI infrastructure clients.
Define customer needs for AI use cases such as training, inference, GPU clusters, bare metal, managed orchestration, networking, and storage.
Collaborate directly with strategic buyers to understand technical needs, timelines, workload patterns, and success criteria.
Convert client needs into clear product specifications, technical requirements, and engineering priorities.
Coordinate closely with engineering, infrastructure, networking, storage, and operations groups to provide customer-ready solutions.
Align client requirements with the broader product roadmap, architectural decisions, and delivery execution.
Define requirements concerning GPU compute, CPU, memory, storage, high-performance networking, cluster topology, and orchestration layers including Kubernetes and Slurm.
Assist with client discussions regarding infrastructure design, capacity planning, performance targets, operational readiness, and acceptance criteria.
Shape product capabilities that scale from individual client solutions into repeatable AI infrastructure offerings.
Requirements
Possess 8+ years of professional background in technical product management centered on infrastructure, cloud computing, or AI/ML platforms.
Demonstrate deep technical comprehension of GPU compute, high-performance networking such as InfiniBand and RoCE, distributed storage, and cluster orchestration tools like Kubernetes and Slurm.
Exhibit strong AI infrastructure expertise spanning GPU compute, networking, storage, bare metal, and orchestration environments.
Bring proven experience interacting directly with enterprise clients to outline infrastructure needs and translate them into product specifications.
Understand AI and machine learning workloads involving training, fine-tuning, and large-scale inference.
Demonstrate the ability to work alongside engineering teams to release complex infrastructure items.
Display excellent written and verbal communication skills suited for technical and executive audiences.
Bring experience handling bare metal infrastructure and managed cloud services.
Hold a bachelor's degree in Computer Science, Engineering, or a related technical discipline, with preference given for advanced degrees.
Skills and Tools
Kubernetes
Slurm
GPU Compute
High-Performance Networking (InfiniBand, RoCE)
Distributed Storage
Cloud Infrastructure
AI/ML Platforms
Salary and Benefits
Annual compensation ranges from $200,000 to $230,000, varying based on background, experience, location, and laws.
100% company-paid insurance premiums covering employee medical, dental, and vision plans.
401(k) plan with a 100% match up to 4% and immediate vesting.
Annual professional development reimbursement of $2,500.
11 paid holidays, plus paid time off accrual and rollover options.
Milestone perks including increased PTO at 3-year and 10-year anniversaries, a 1-month paid sabbatical every 5 years, and a yearly anniversary bonus.
Initial remote office setup stipend of $500 followed by $400 each subsequent year.
Monthly internet reimbursement up to $75.
Monthly gym membership reimbursement up to $50.
Company-paid Wellable subscription.
About the Company
Vultr operates as a major cloud infrastructure provider dedicated to making high-performance cloud tools simple, affordable, and accessible globally. Operating 33 data center locations and serving customers across 185 countries, the self-funded organization offers Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage options.
How to Apply
Interested candidates should visit the official Vultr careers page on constant.com to submit an application for this position.
