Product Manager

Job title:Senior Product Manager

Location:Remote

Duration: Full Time

Description:
What You’ll Do

What We’re Looking For

Why This Opportunity?

This is an opportunity to help shape the future of AI and accelerated computing in the cloud. You’ll play a key role in defining GPU products and services designed to support demanding AI, HPC, graphics, and enterprise workloads at global scale.

You’ll work at the intersection of product strategy, AI infrastructure, cloud computing, and advanced GPU technology, partnering with engineering and technology leaders to bring innovative products to market.

Remote & Flexibility

This is a remote position offering flexibility and the opportunity to work with a highly distributed team. The company supports employees in working in the environment where they can do their best work.

If you’re a technically minded product leader with deep experience in GPUs, AI infrastructure, cloud computing, and accelerated workloads, and you’re excited about building products that enable the next generation of AI applications, we’d love to hear from you.

Must Have

12+ years of relevant product management, technology, or engineering experience and a bachelor's degree in computer science, Engineering, or equivalent experience.

Strong technical understanding of GPU architectures, CUDA, and accelerated computing platforms.

Experience with GPU resource management and cluster orchestration for AI and high-performance computing workloads.

Knowledge of cloud networking, GPU interconnects, infrastructure redundancy, and large-scale GPU deployments.

Experience developing both technical and business models for GPU/cloud products, including pricing, profitability, and Total Cost of Ownership (TCO) analysis.

Understanding of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure.

A strong customer-first mindset, with a focus on automation, usability, and low-friction integration for GPU workloads.

Proven ability to collaborate with highly technical engineering and data science teams and gain buy-in for new product initiatives.

Strong communication, strategic thinking, and stakeholder management skills.

Ability to balance complex technical requirements with customer needs and business objectives.