Product Manager - GPU-as-a-Service (GPUaaS)
Amazon is seeking a Senior Product Manager to lead the development and commercialization of a GPU-based AI compute platform. The role involves defining product strategy, managing pricing, and working with engineering to build scalable inference and training infrastructure. The ideal candidate has strong experience in infra or B2B SaaS products and a data-driven approach. This position is central to Amazon's AI efforts, focusing on delivering compute for large-scale ML workloads.
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Experience
3+ years
Function
Product Management
Work mode
Onsite, India
Company
Tier 1
What you will work on
Amazon is seeking a Senior Product Manager to lead the development and commercialization of a GPU-based AI compute platform. The role involves defining product strategy, managing pricing, and working with engineering to build scalable inference and training infrastructure. The ideal candidate has strong experience in infra or B2B SaaS products and a data-driven approach. This position is central to Amazon's AI efforts, focusing on delivering compute for large-scale ML workloads.
TAL's take
Exceptional role at a Tier-1 company focusing on high-impact AI compute and GPU infrastructure.
The JD is extremely well-defined with clear strategic, commercial, and technical responsibilities tailored for an AI infrastructure PM.
Salaries at Amazon
25.8 LPA average
Based on 3,341 Grapevine salary entries for Amazon.
Product Management
0 - 2 years | L3
9 LPA average
Range: 0 - 22 LPA
Product Management
2 - 4 years | L4
22 LPA average
Range: 4 - 46 LPA
Product Management
4 - 6 years | L5
29 LPA average
Range: 6 - 76 LPA
Product Management
6 - 8 years | L4
35 LPA average
Range: 14 - 60 LPA
Must haves
- 3+ years of product management experience
- Experience in infrastructure platforms, AI/ML systems, or B2B SaaS
- Experience launching new products (0-1)
- Strong ability to work with engineering teams
- Experience defining product requirements and roadmaps
Tools and skills
Nice to have: gpu-based systems, high-performance computing, kubernetes, distributed systems, ml pipelines, mlops, model serving, inference optimization.
About the company
Amazon is a FAANG company and a global leader in cloud and AI infrastructure.
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