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Akamai Technologies

At Akamai, we make life better for billions of people, billions of times a day. Every moment, billions of people, all over the world, are using the internet to shop, play games, look after finances, learn remotely, share videos, connect across the world, and so much more. These life-shaping digital experiences wouldn’t be possible without Akamai. We power and protect life online. It’s an extraordinary mission, and our global teams achieve it by solving the toughest challenges, and turning the impossible into the possible. With the world’s most distributed compute platform — from cloud to edge — we make it easy for businesses to develop and run applications, while we keep experiences closer to users and threats farther away. That’s why innovative companies worldwide choose Akamai to build, deliver, and secure their digital experiences. Thanks to our world’s most distributed platform for cloud computing, security, and content delivery. Akamai keeps applications and experiences closer and threats farther away. Devoted, determined problem-solvers who share a passion for technology, we’re always pushing ground-breaking ideas and driving innovation. Do you want to power and protect life online, by solving the toughest challenges with us? Be part of an amazing team!

Senior Product Manager, AI Infrastructure, GPU

LLM EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1998H1B SponsorCompany SiteLinkedIn

Location

Massachusetts

Posted

1 day ago

Salary

$139.3K - $250.7K / year

Seniority

Senior

Bachelor Degree12 yrs expEnglishCloud

Job Description

Senior Product Manager, AI Infrastructure, GPU

Akamai Technologies

• Define product strategy and roadmap for GPU instances, clusters, and services • Manage the entire product lifecycle from planning to end-of-life • Develop and execute go-to-market strategies, messaging, and launch plans • Collaborate with ecosystem partners on roadmap and technical needs • Translate AI, HPC and graphics workload needs into specifications and performance goals • Oversee GPU infrastructure lifecycle components and implement data-driven decisions • Identify enhancements for proactive monitoring and support processes

Job Requirements

  • 12 years of relevant experience
  • Bachelor's degree in Computer Science, Engineering, or its equivalent
  • Expertise in GPU architectures, CUDA ecosystem, and accelerated computing platforms
  • Knowledge of cloud networking, GPU interconnects, and infrastructure redundancy
  • Proficiency in developing business and technical models for GPU cloud products
  • Familiarity with AI workload patterns, enterprise security requirements, and hardware-level APIs
  • Strong relationships with engineering teams regarding new GPU product goals

Benefits

  • Health insurance
  • 401K savings plan
  • Paid time off (PTO)
  • Sick time
  • Family friendly benefits including parental leave
  • Employee assistance program
  • Focus on mental and financial wellness
  • Equity awards and Employee Stock Purchase Plan (ESPP)

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