Senior Product Manager, AI Infrastructure

Job not on LinkedIn

🔥 0 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Vultr

Vultr

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

🔥 Funding within the last year

💰 $329M Debt Financing - Vultr on 2025-06

Artificial Intelligence • B2B • Hardware

Vultr is a global cloud infrastructure provider offering on-demand virtual machines, bare-metal servers, GPU-accelerated instances, managed databases, object and block storage, Kubernetes, and networking services. The platform emphasizes AI and HPC workloads with a broad selection of AMD and NVIDIA GPUs, fast networking, and 32+ data center regions, plus a marketplace of deployable apps and developer-friendly APIs. Vultr targets developers and businesses seeking affordable, scalable, and compliant cloud compute and storage alternatives to hyperscalers.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

Apply Now

Similar Jobs

🕒 3 days ago

Dataiku

1001 - 5000

Generative AI Engineer at Dataiku, designing and implementing AI systems for operational improvement. Collaborating with stakeholders and integrating multi-agent frameworks for business solutions.

🕒 4 days ago

NVIDIA

10,000+ employees

🤖 Artificial Intelligence

🎮 Gaming

Senior Software Engineer at NVIDIA leading the optimization of large-scale AI workloads across GPU platforms. Focused on benchmarking, performance tuning, and infrastructure resilience with a team of experts.

🕒 May 22

Astreya

1001 - 5000

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

Technical Project Manager leading AI infrastructure deployment across multiple business units and sites. Delivering execution excellence through project management of GPU, compute, and storage systems.

🕒 May 22

Astreya

1001 - 5000

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

AI Infrastructure Project Manager leading complex infrastructure deployment for AI programs across multiple sites. Drive execution, coordination, and risk management initiatives in technical project management.

🕒 May 20

Armada

51 - 200

📡 Telecommunications

🤖 Artificial Intelligence

🏢 Enterprise

As AI Infrastructure Supply Chain Lead, strategic architect for global AI supply chain at Armada. Leading sourcing for HPC and sovereign AI cloud platforms.