Senior Product Manager, AI GPU Infrastructure (Remote)

Akamai Technologies GmbH; Cambridge (MA); Hybrid; USD 139,300 - 250,700; Full time

Benefits offered by this job

FlexBase program

Healthcare

401K savings plan

Paid time off

Parental leave

Employee Stock Purchase Plan (ESPP)

Job summary

Akamai Technologies GmbH is seeking a Senior Product Manager for GPU Products to shape strategy and delivery of GPU instances, clusters, and services. You will lead cross-functional teams to align customer needs with scalable platform objectives, balancing product vision with technical feasibility.

You will own pricing models, GTM execution, and collaboration with engineering, marketing, and sales to ensure successful launches and ongoing optimizations of GPU workloads and AI infrastructure.

Qualifications

• Experience with GPU architectures and NVIDIA CUDA ecosystem.
• Ability to build pricing, profitability and TCO models for cloud GPU products.
• Strong collaboration with engineering, marketing and sales to drive GTM.
• Familiarity with cloud networking and GPU interconnects for large-scale deployments.

Responsibilities

• Define product strategy and roadmap for GPU instances, clusters, and services.
• Manage lifecycle from planning to end-of-life with financial modeling.
• Develop and execute go-to-market plans with cross-functional partners.
• Collaborate with ecosystem partners for roadmap alignment and integration.
• Translate AI/HPC workloads into specs, performance goals and architectures.
• Oversee GPU infrastructure lifecycle and data-driven investments.
• Represent user objectives and drive enhancements for monitoring and maintenance.

Skills

GPU architectures

CUDA ecosystem

AI workloads

Pricing & profitability modeling

Cloud networking

Resource management

Cluster orchestration

Stakeholder collaboration

Education

Bachelor's degree in Computer Science/Engineering

Tools

CUDA

Kubernetes

Job description

Akamai Technologies GmbH is seeking a Senior Product Manager for GPU Products to shape strategy and delivery of GPU instances, clusters, and services. You will lead cross-functional teams to align customer needs with scalable platform objectives, balancing product vision with technical feasibility.

You will own pricing models, GTM execution, and collaboration with engineering, marketing, and sales to ensure successful launches and ongoing optimizations of GPU workloads and AI infrastructure.