Company

Technology

SeniorProductManager,AIInfrastructure

$130–165k Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology

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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