Company
Technology
SeniorProductManager,AIInfrastructure
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Product Manager, AI Infrastructure. Skills: AI Infrastructure, Product Management, GPU Compute, Distributed Systems. Own discovery of customer needs. Define customer needs for AI infrastructure”
Industry & Context.
What They're Looking For.
Must Have
5+ years technical product management, Experience with GPU compute systems, Experience with distributed storage, Experience with high-performance networking, Experience with AI/ML workloads, Familiarity with Kubernetes, Familiarity with Slurm, Proven ability to collaborate with engineering teams, Excellent communication skills, Bachelor's degree in Computer Science, Bachelor's degree in Engineering
Nice to Have
Advanced degree preferred
What You'll Do.
Own discovery of customer needs
Define customer needs for AI infrastructure
Understand GPU compute needs
Understand inference needs
Understand training workloads needs
Understand storage needs
Understand networking needs
Understand orchestration systems needs
Work with customers on deployment requirements
Work with customers on performance expectations
Work with customers on success criteria
Translate needs into product requirements
Translate needs into technical specifications
Translate needs into roadmap priorities
Partner with engineering teams
Partner with infrastructure teams
Partner with networking teams
Partner with storage teams
Partner with operations teams
Design scalable solutions
Deliver scalable solutions
Drive alignment between expectations and strategy
Drive alignment between strategy and architecture
Drive alignment between architecture and execution
Define requirements for distributed systems
Define requirements for cluster orchestration
Define requirements for HPC infrastructure
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with engineering; Partner with infrastructure; Partner with networking; Partner with storage; Partner with operations; Engage technical stakeholders; Engage executive stakeholders
Communication Scope
Technical communication; Executive communication
Process & Methodology
Roadmap priorities
Full Job Description
## Accountabilities Own discovery and definition of customer needs for AI infrastructure, including GPU compute, inference, training workloads, storage, networking, and orchestration systems Work directly with strategic enterprise customers to understand deployment requirements, performance expectations, and success criteria Translate customer and market needs into detailed product requirements, technical specifications, and roadmap priorities Partner with engineering, infrastructure, networking, storage, and operations teams to design and deliver scalable solutions Drive alignment between customer expectations, product strategy, architecture decisions, and execution plans Define requirements across distributed systems, cluster orchestration environments, and high-performance computing infrastructure Requirements: 5+ years of experience in technical product management within infrastructure, cloud computing, or AI/ML platforms Strong understanding of GPU compute systems, distributed storage, and high-performance networking technologies such as InfiniBand or RoCE Experience working directly with enterprise or strategic customers on infrastructure design and requirements gathering Solid knowledge of AI/ML workloads including training, fine-tuning, and inference at scale Familiarity with orchestration frameworks such as Kubernetes and Slurm in production environments Proven ability to collaborate with engineering teams on complex distributed infrastructure products Excellent communication skills with the ability to engage both technical and executive stakeholders Bachelor’s degree in Computer Science, Engineering, or related technical field (advanced degree preferred) Benefits: Competitive compensation package: 130,000 to 165,000 USD depending on experience and location 100% employer-paid medical, dental, and vision insurance 401(k) with 100% match up to 4% and immediate vesting Annual professional development reimbursement of 2,500 USD Paid holidays, PTO accrual with r
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