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Information Technology

Senior Product Manager – GPU Products

Express Corporate - Atlanta, GA

Location
Cambridge, MA · Remote
Compensation
$131,000 – $225,000
Job type
Direct hire
Experience
Mid-senior
Industry
Information Technology and Services

+$3,500 via BYOR if placed through BYOR

About the role

Recruiter Note Please ensure that all candidate information submitted is accurate and up to date, including resume details, employment history, availability, interest level, and compensation expectations/pay rate. All information will be verified during the Reflik Account Manager’s candidate screening process. Any discrepancies between the submitted information and the candidate’s responses may result in corrective action.

End client Akamai Technologies

Remote | Full-TimeOur client is seeking an experienced Senior Product Manager – GPU Products to lead the strategy, development, and lifecycle management of next-generation GPU cloud products and services. This is an exciting opportunity for a technically strong product leader who understands AI, HPC, accelerated computing, and large-scale cloud infrastructure.In this role, you will work across product, engineering, sales, marketing, and external technology partners to define the vision and roadmap for GPU instances, clusters, and services. You’ll translate complex customer and workload requirements into scalable products while balancing technical capabilities, market needs, and business objectives. What You’ll Do- Define the product strategy, vision, and roadmap for GPU instances, clusters, and cloud services.

  • Align product positioning, requirements, and priorities with customer needs, market trends, and business objectives.
  • Manage the full product lifecycle, from initial planning and launch through ongoing optimization and eventual end-of-life.
  • Develop business cases, financial models, pricing strategies, profitability analyses, and TCO models to support product investments and decisions.
  • Develop and execute go-to-market strategies, including product messaging, positioning, launch plans, and customer engagement in partnership with marketing, sales, and solutions engineering.
  • Partner with GPU technology and ecosystem providers to align roadmaps, integrations, and technical requirements.
  • Translate AI, HPC, graphics, and other accelerated-computing workloads into product specifications, performance requirements, and technical architectures.
  • Guide the evolution of GPU infrastructure and make data-driven decisions around platform investments and lifecycle management.
  • Represent the needs of customers, engineers, and data scientists by identifying opportunities to improve usability, automation, monitoring, support, and maintenance processes.
  • Build strong relationships with engineering teams and secure alignment around product goals, technical requirements, and future GPU capabilities. What We’re Looking For- 12+ years of relevant product management, technology, or engineering experience and a bachelor's degree in computer science, Engineering, or equivalent experience.
  • Strong technical understanding of GPU architectures, CUDA, and accelerated computing platforms.
  • Experience with GPU resource management and cluster orchestration for AI and high-performance computing workloads.
  • Knowledge of cloud networking, GPU interconnects, infrastructure redundancy, and large-scale GPU deployments.
  • Experience developing both technical and business models for GPU/cloud products, including pricing, profitability, and Total Cost of Ownership (TCO) analysis.
  • Understanding of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure.
  • A strong customer-first mindset, with a focus on automation, usability, and low-friction integration for GPU workloads.
  • Proven ability to collaborate with highly technical engineering and data science teams and gain buy-in for new product initiatives.
  • Strong communication, strategic thinking, and stakeholder management skills.
  • Ability to balance complex technical requirements with customer needs and business objectives. Why This Opportunity?This is an opportunity to help shape the future of AI and accelerated computing in the cloud. You’ll play a key role in defining GPU products and services designed to support demanding AI, HPC, graphics, and enterprise workloads at global scale.You’ll work at the intersection of product strategy, AI infrastructure, cloud computing, and advanced GPU technology, partnering with engineering and technology leaders to bring innovative products to market. Remote & FlexibilityThis is a remote position offering flexibility and the opportunity to work with a highly distributed team. The company supports employees in working in the environment where they can do their best work. If you’re a technically minded product leader with deep experience in GPUs, AI infrastructure, cloud computing, and accelerated workloads, and you’re excited about building products that enable the next generation of AI applications, we’d love to hear from you.

Interview 1st Round: Technical Interview with Hiring Manager; 2nd Round: Panel Interview with each Discipline/Technical Lead which could be 2 to 4 separate interviews because each Tech Lead is in a different time zone (domestic and international); 3rd Round: Non-Technical Interview with Operations

Must-haves

Must Have 12+ years of relevant product management, technology, or engineering experience and a bachelor's degree in computer science, Engineering, or equivalent experience.Strong technical understanding of GPU architectures, CUDA, and accelerated computing platforms.Experience with GPU resource management and cluster orchestration for AI and high-performance computing workloads.Knowledge of cloud networking, GPU interconnects, infrastructure redundancy, and large-scale GPU deployments.Experience developing both technical and business models for GPU/cloud products, including pricing, profitability, and Total Cost of Ownership (TCO) analysis.Understanding of AI workload patterns, enterprise security requirements, and hardware-level APIs related to GPU infrastructure.A strong customer-first mindset, with a focus on automation, usability, and low-friction integration for GPU workloads.Proven ability to collaborate with highly technical engineering and data science teams and gain buy-in for new product initiatives.Strong communication, strategic thinking, and stakeholder management skills.Ability to balance complex technical requirements with customer needs and business objectives.

Benefits

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 employee assistance and an employee assistance program including a focus on mental and financial wellness

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