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Principal. Tech Product Manager - Neuron Runtime and Cloud ML Infrastructure, Annapurna Labs; AWS

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Amazon
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Principal. Tech Product Manager - Neuron Runtime and Cloud ML Infrastructure, Annapurna Labs (AWS)

Principal Technical Product Manager – Neuron Runtime and Cloud ML Infrastructure, Annapurna Labs

AWS Trainium is deployed at scale, with millions of chips in production, and has been used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency.

AWS Neuron is hiring a Technical Product Manager to work backward from Trainium customers and drive the developer experience for running high‑performance ML workloads at scale on AWS Trainium, from getting started with Neuron Deep Learning Containers, AMIs, and AWS services to operating at scale through orchestration, resiliency, and observability.

You will drive the product strategy for how developers interact with Trainium through container ecosystems, resource management platforms, and AWS services. This includes Neuron integration with orchestration tools (SLURM, Kubernetes), AWS services (EKS, Sage Maker), Neuron Deep Learning Containers and AMIs, and Linux distribution support. You will also drive the strategy for resiliency and observability tools that enable system diagnostics, performance monitoring, health monitoring, automated recovery, and telemetry, allowing customers to operate AI training and inference workloads with maximum uptime and efficiency.

You will also define how the Neuron Runtime System interacts with ML frameworks to ensure scale and high performance execution of models.

To be successful in this role, you will partner with engineering teams and PMs responsible for training, inference, and performance tools, Marketing, Business Development, and Solution Architects supporting customers; develop deep knowledge and understanding of Trainium Architecture and Neuron Runtime System (including Neuron Runtime Library, Neuron Kernel Driver and Collective Communication Stack) to effectively define product strategy and make informed technical decisions.

Ideal

Candidate

The ideal candidate can balance competing customer priorities and drive alignment across engineering and business stakeholders in a fast‑moving, early‑stage product environment, with excellent written and verbal communication abilities.

Experience
  • Technical product management for developer‑facing runtime and infrastructure products
  • Developer tools (SDKs, libraries, APIs) with focus on developer experience
  • Resource management and orchestration systems (SLURM, Kubernetes schedulers)
  • ML monitoring, observability, and resilience
  • Distributed systems and high‑performance computing (HPC) environments
  • AWS cloud services and infrastructure
Key Responsibilities
  • Own product strategy and roadmap; guide trade‑offs between performance, scalability, and developer experience.
  • Write PRFAQs and PRDs.
  • Understand deployment challenges, orchestration needs, and infrastructure pain points; represent customer needs in executive prioritization.
  • Drive alignment across Neuron components (Runtime, Kernel Driver, Collective Communication, container infrastructure) and AWS services; partner with training, inference, and performance PMs.
  • Write user stories and define success metrics.
  • Enable customers (Anthropic, Databricks, AWS teams) to deploy, monitor, and operate ML workloads at scale through container orchestration, resource management, health monitoring, and observability.
Basic Qualifications
  • Bachelor's degree.
  • Experience owning/driving roadmap strategy and definition.
  • Experience with feature delivery and tradeoffs of a product.
  • Experience in technical product management.
Preferred Qualifications
  • Experience working directly with engineers on product enhancements.
  • Experience in project management methodologies, business analysis, or process improvement.
Compensation

USA, CA, Cupertino – $ – $ USD annually
USA, WA, Seattle – $ – $ USD annually

Benefits

A comprehensive benefits package includes health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.…

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