This role pays less than
68%
of similar roles. Most pay
$182,143–$253,062
— the shaded band above.
At the midpoint, this role pays about
$194k
versus about
$218k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
367 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 367 roles with salary data.
Sr. Product Manager, Instinct AI GPU Products joins the Cloud & Enterprise AI product organization to define and drive product strategy for AMD Instinct accelerators. This role involves owning product definition, platform strategy, design wins, and go-to-market execution for the growing AI business. The successful candidate will manage the full product lifecycle from planning through launch, develop marketing messaging, track market trends, and perform financial modeling while collaborating with engineering, sales, and marketing teams. Key requirements include technical expertise in datacenter platforms, GPU/CPU silicon, networking, and AI workloads. The role focuses on solving challenges within the enterprise and cloud markets by delivering high-performance hardware for AI acceleration. Candidates must possess skills in market analysis, executive communication, and experience with server processors to translate complex technology into compelling customer value across the competitive server landscape.
What does a Product Manager earn?
Median $204200 from 424 postings across 77 companies.
Agentic AI
AI Inference
RAG
Speculative Decode
Vector Databases
Model Serving
CPU
Datacenter Platforms
Cloud Infrastructure
Benchmarking
Performance Optimization
AI
Hybrid Compute
Super Resolution
Agentic AI
SDK
API
Product Management
Software Engineering
Gaming Platforms
PC
Mobile
Console
Technical Documentation
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architecture
GPU
Machine Learning
Artificial Intelligence
High-Performance Computing
Large Language Models
Cloud Computing
Training
Inference
Data Center
Computing Architecture
Accelerated Computing