Principal Product Manager - Kernels, AI/ML, Annapurna Labs
Amazon · Cupertino, CA · Project/Program/Product Management--Technical
About this role
Amazon is hiring a principal-level Product Manager based in Cupertino, CA. The posting calls out experience with AWS, Databricks, LLMs, Distributed Systems. Compensation is listed at $206,900–$279,900 per year.
- Role
- Product Manager
- Function
- product
- Level
- principal
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Cupertino, CA
- Department
- Project/Program/Product Management--Technical
- Posted
- Jan 16, 2026
More roles at Amazon
Job description
from Amazon careersAWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library enabling custom kernel development and optimization. You will be part of the AWS Neuron Product Management team, driving innovation in machine learning acceleration software. AWS Neuron is the software stack for Trainium and Inferentia, the AWS Machine Learning chips, delivering best-in-class ML performance in the cloud. You will lead NKI requirements working backward from customer needs, drive kernel library features definition, and drive developer experience for custom kernel development, enabling customers to successfully and independently develop and optimize ML workloads on AWS Neuron through deep understanding of compiler systems, kernel optimization, and hardware acceleration. The ideal candidate will have solid understanding of compiler technologies, computer architecture, and ML systems. They should be able to assess technical implications of compiler architecture decisions, understand customer needs, and drive developer experience strategy. Experience with ML frameworks, model architectures, and distributed computing is highly valuable. Additionally, the ideal candidate should have: * Proven track record of driving product strategy and owning roadmap definition in complex technical environments * Experience delivering features with deep understanding of technical trade-offs and product…