Senior Product Manager; AI Infrastructure & GPU

Do you love building the foundational capabilities that power cloud computing?

Are you looking to bridge the gap between deep technical architecture and product strategy?

Come join our Cloud Technology Group!

This team is revolutionizing Akamai's cloud into a global leader for advanced computing. It involves launching GPU instances, clusters, and AI infrastructure products. These solutions empower enterprises, developers, and researchers to train models, perform inference, and address complex computational challenges. The role requires expertise in GPU technologies, innovative product strategies, and operational precision within a dynamic, results‑driven environment.

As a Senior Product Manager for GPU Products, you will bring technical expertise, creativity, and focus for impactful outcomes.

• 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.

To be successful in this role you will:

• 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.

At Akamai, we make life better for billions of people, trillions of times a day. Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.

We support your health, well‑being, finances, and life beyond work. We offer industry‑leading benefits including healthcare, 401(k) savings plan, company holidays, vacation (in the form of PTO), sick time, family‑friendly benefits including parental leave and an employee assistance program focused on mental and financial wellness.

Akamai's Flex Base program is another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work. We trust our employees to work in ways that suit them best: at home, in an office, or a combination of both.