Senior PM: Drive ML Runtime & Infra Strategy

Downtown Boulder Partnership; Cupertino (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Sr. Product Manager to lead the product strategy for Neuron Runtime and ML Infrastructure integration in Cupertino, CA. The ideal candidate will have over 10 years of industry experience, strong technical product management skills, and the ability to represent customer needs effectively.

This role involves working closely with engineering teams, defining product roadmaps, and driving innovations to ensure successful deployment of ML workloads on AWS Neuron. A Bachelor's degree in a relevant field and solid knowledge of Kubernetes are required.

Qualifications

• 10+ years of industry experience including 5+ in technical product management.
• Solid knowledge in container orchestration and Kubernetes.
• Excellent communication abilities.

Responsibilities

• Drive and execute product strategy based on customer requirements.
• Assess technical implications of product architecture.
• Collaborate with software engineering teams on new features.
• Produce clear PRFAQ and PRD documents.
• Anticipate bottlenecks and manage risks.

Skills

Product strategy

Technical trade-offs

Customer needs representation

Collaborative open-source projects

Kubernetes

Communication

Education

Bachelor's degree in computer science, engineering, analytics

Tools

Linux systems

Deep Learning tools

Job description

Amazon Web Services (AWS) is seeking a Sr. Product Manager to lead the product strategy for Neuron Runtime and ML Infrastructure integration in Cupertino, CA. The ideal candidate will have over 10 years of industry experience, strong technical product management skills, and the ability to represent customer needs effectively.

This role involves working closely with engineering teams, defining product roadmaps, and driving innovations to ensure successful deployment of ML workloads on AWS Neuron. A Bachelor's degree in a relevant field and solid knowledge of Kubernetes are required.