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# Senior Product Manager (AI Infrastructure & GPU)

- **Company:** Akamai Technologies
- **Location:** Albany, NY, United States
- **Experience:** Expert
- **Salary:** $139,300.0 - $250,700.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Cloud Computing, Computer Clusters, Nvidia CUDA, Akamai, Systems Integration, AI Infrastructure, High Performance Computing, Information Technology, Data Analytics, Performance Monitor, Hardware Infrastructure
- **Published:** July 15, 2026
- **Apply:** https://dejobs.org/x/x/A4AEE9083002469FA82940E79D35C2BF/job/

## About the Role

* Have 12 years of relevant experience and a Bachelor's degree in Computer Science, Engineering, or its equivalent
 * Have maintained a customer-first focus even when the customers are internal engineers and data scientists, prioritizing automation, usability, and low-friction integration for GPU workloads.
 * Demonstrate expertise in GPU architectures, CUDA ecosystem, and accelerated computing platforms, including resource management and cluster orchestration for AI workloads.
 * Have knowledge of cloud networking, GPU interconnects, and infrastructure redundancy in the context of large-scale GPU deployments.
 * Demonstrate proficiency in developing both business and technical models for GPU cloud products, including pricing, profitability, and TCO analysis.
 * Maintain familiarity with AI workload patterns, enterprise security requirements, and hardware-level APIs for GPU instances.
 * Build relationships and secure buy-in from engineering teams regarding new GPU product goals and technical requirements.

## Description

As a Senior Product Manager, you will be responsible for:

 * Defining product strategy and roadmap for GPU instances, clusters, and services, aligning positioning and requirements to customer and market needs.
 * Managing the entire product lifecycle, from planning to end-of-life, while creating detailed business analyses and financial models for support.
 * Developing and executing go-to-market strategies, messaging, and launch plans in partnership with marketing, sales, and solutions engineering.
 * Collaborating with ecosystem partners, aligning their roadmap and platform integration with Akamai's product objectives and technical needs.
 * Translating AI, HPC, and graphics workload needs into specifications, performance goals, and architectures to enable design success and customer engagement.
 * Overseeing GPU infrastructure lifecycle components, utilizing data-driven decisions on investments from platform evolution to implementing product End-of-Life as needed.
 * Representing various user objectives while identifying enhancements for proactive monitoring, support processes, escalation workflows, and both planned and unplanned maintenance of Nvidia GPU clusters.


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