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Akamai Technologies

Senior Product Manager (Compute Infrastructure)

Posted 15 Days Ago
In-Office or Remote
Hiring Remotely in United States
139K-251K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
139K-251K Annually
Senior level
Lead product strategy and roadmap for GPU instances, clusters, and AI infrastructure. Manage full product lifecycle, build business and technical models, drive go-to-market and partner integrations, translate AI/HPC workload needs into specifications, and oversee GPU infrastructure operations and lifecycle decisions.
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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.

Partner with the best

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

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 GPU clusters.

Do what you love

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.

About us

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.
Our focus is simple:
Cloud and Edge: Running apps closer to users for instant performance.
Security: Neutralizing threats before they ever reach your data.
Content Delivery: Scaling the world's biggest moments without a glitch.
AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform.
At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.

Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits.

FlexBase adapts to your job's needs

Akamai's FlexBase program is yet 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 incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.

Connect with us on social and see what life at Akamai is like! 

Compensation

Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $139,300 - $250,700/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.

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