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The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
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Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Technical Product Manager Senior

AmazonCupertino - On-Site

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Overview

Amazon is hiring a Senior Technical Product Manager for AWS Neuron to drive the developer experience for high-performance ML workloads on AWS Trainium. You'll work with technologies like Kubernetes and SageMaker, focusing on product strategy and customer interaction. This role requires experience in AI and machine learning.

Job Description

Who you are

You have 5+ years of experience in product management, particularly in AI and machine learning environments — you've successfully driven product strategies that enhance developer experiences and optimize performance for complex systems. Your background includes working with cloud services, particularly AWS, and you understand the intricacies of deploying machine learning workloads at scale.

You possess deep knowledge of container ecosystems and orchestration tools like Kubernetes and SLURM — you've integrated these technologies into product offerings to improve efficiency and user satisfaction. Your technical expertise extends to resource management platforms and observability tools, allowing you to ensure maximum uptime and performance for AI training and inference workloads.

You are a strong collaborator, capable of partnering with engineering teams and stakeholders across various functions — your communication skills enable you to translate technical concepts into actionable insights for diverse audiences. You thrive in environments where you can influence product direction and contribute to the overall success of the team.

Desirable

Experience with Neuron Deep Learning Containers and AMIs is a plus, as is familiarity with performance monitoring and automated recovery systems. You have a passion for staying updated on the latest trends in AI and machine learning, and you are eager to apply this knowledge to enhance product offerings.

What you'll do

In this role, you will drive the product strategy for AWS Neuron, focusing on how developers interact with Trainium through various AWS services and tools. You will lead initiatives to improve the developer experience, ensuring that customers can efficiently run high-performance ML workloads. Your responsibilities will include collaborating with engineering teams to integrate Neuron with orchestration tools and AWS services, enhancing the overall product ecosystem.

You will also focus on developing strategies for resiliency and observability tools that facilitate system diagnostics and performance monitoring — your work will directly impact how customers operate their AI workloads, ensuring they achieve maximum efficiency and uptime. You will be responsible for defining success metrics and tracking product performance, making data-driven decisions to guide future enhancements.

What we offer

Amazon provides a comprehensive benefits package, including competitive compensation, equity options, and a full range of medical and financial benefits. You will have the opportunity to work in a collaborative environment that values innovation and encourages professional growth. Join us at Amazon and be part of a team that is shaping the future of AI and machine learning in the cloud.

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