Akamai
Senior Product Manager (AI Infrastructure & GPU)
- Cambridge, Massachusetts
- Remote
- full time
- $139k–$251k/year
- Posted 13 days ago
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About the role
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 Nvidia 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.
[https://www.akamai.com/careers/working-at-akamai?utm_source=akamai&utm_medium=social&utm_campaign=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!
https://twitter.com/Akamai?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor https://www.facebook.com/akamaicareers/ https://www.linkedin.com/company/akamai-technologies/ https://www.instagram.com/akamaicareers/ https://www.akamai.com/blog? https://www.youtube.com/playlist?list=PLYo5nh8xQFpnnPl17sQRURR9ugKL-KMRO
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.
Skills
- Product Strategy
- GPU Architecture
- CUDA Ecosystem
- Accelerated Computing
- Cloud Networking
- Cluster Orchestration
- TCO Analysis
- Financial Modeling
- Go-To-Market Strategy
- Product Lifecycle Management
- AI Infrastructure
- HPC Workloads
- Resource Management
- Infrastructure Redundancy
- Business Analysis
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