Senior Product Manager, AI Infrastructure, GPU

🔥 2 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $139.3k - $250.7k / year

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Akamai Technologies

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

💰 Post-IPO Equity on 2001-07

Cloud Computing • Cybersecurity • Content Delivery

Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.

📋 Description

• 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

🎯 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)