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Sr. Product Manager - Runtime Infra, AI​/ML, Annapurna Labs; Cupertino at Amazon Web Services

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Downtown Boulder Partnership
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Product Manager - Runtime Infra, AI/ML, Annapurna Labs (Cupertino) at Amazon Web Services ([...]

Sr. Product Manager - Runtime Infra, AI/ML, Annapurna Labs (Cupertino)

An Amazon Web Services (AWS) job located in Cupertino, CA.

Description

AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for Neuron Runtime and ML Infrastructure integration. 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 runtime and infrastructure requirements working backward from customer needs, drive performance and scalability features across Neuron Runtime and container ecosystems, enabling ML training and inference at scale, optimal orchestration and efficient resource management, efficient execution of machine learning models and integration with AWS services. This role will empower customers to successfully deploy and scale ML workloads on AWS Neuron through deep understanding of runtime systems, infrastructure design, and cloud service integration.

Ideal

Candidate
  • 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 implications
  • Strong ability to contribute to and influence engineering discussions around technology decisions and strategy
  • Demonstrated success in representing customer needs and driving alignment during executive‑level prioritization
  • Track record of delivering results in fast‑paced, ambiguous environments, particularly in early‑stage programs
  • Experience with modern software development and collaborative open‑source projects
In This Role, You Will
  • Drive and execute product strategy and roadmap working backwards from customer requirements in collaboration with engineering technical leadership
  • Assess technical implications of product architecture and optimization decisions
  • Drive technical alignment across Neuron components, Neuron workflows and dependencies
  • Work directly with software engineering teams to define and execute on new features
  • Produce clear and concise documents such as PRFAQ and PRD documents
  • Write user stories, and validate features meet developer needs
  • Drive feature discussions with customers, engineering, and other stakeholders
  • Anticipate bottlenecks, manage risk and escalations, balancing technical constraints
  • Find opportunities to innovate on behalf of our customers, design features related to these opportunities, and always push to improve our product developer experience
  • Build ecosystem partnerships and stay connected with industry trends
  • Represent the product in relevant industry events
Basic Qualifications
  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
  • 10+ years of industry experience with at least 5+ years in Technical product management and 3+ years of software development
  • Solid knowledge in container orchestration and Kubernetes
  • Solid knowledge in computer architecture fundamentals and operating systems concepts
  • Excellent written and verbal communication abilities
Preferred Qualifications
  • Experience with Linux systems and kernel development
  • Track record of driving developer libraries
  • Experience with Machine Learning accelerators
  • Experience with concepts such as performance optimization, profiling and tooling
  • Experience with Deep Learning model training or inference
  • Experience with distributed computing and parallel processing
Equal Opportunity Statement

Amazon values diverse experiences and encourages all qualified applicants to apply.

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