Amazon Web Services (AWS)
Sr. Technical Product Manager - AWS Neuron, Annapurna Labs
Amazon Web Services (AWS), Cupertino, California, United States, 95014
Sr. Technical Product Manager - AWS Neuron, Annapurna Labs
Join to apply for the
Sr. Technical Product Manager - AWS Neuron, Annapurna Labs
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Amazon Web Services (AWS) Description
AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. The Product: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is cutting‑edge software including an ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. The Team: the Amazon Annapurna Labs team is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high‑performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. You: We’re seeking a hands‑on product manager who has a passion for machine learning and developer‑focused cloud software and hardware products, and is willing to work hard for their customers. Product Management in Annapurna is an opportunity to collaborate with engineering, design, and sales/business development teams to create state‑of‑the‑art machine learning cloud services. In your role as Neuron product manager, you will be in charge of the customer voice within our team, tirelessly working closely with multiple internal teams and customers to develop the new Neuron features for training and inference, and support our growing ecosystem. Your mission will be to ensure our customers find new cutting‑edge offerings pleasing and useful to achieve their aggressive business goals. As a member of the Annapurna team you’ll dive on our technology and work closely with our internal teams, engage with leading developers and customers, and help support Annapurna's products scale to large deployments. We are looking for self‑driven individuals who can collaborate with others, and that will continuously work to deliver a world‑class customer experience. This is a fast‑paced, hands‑on, intellectually challenging position, and you’ll work with thought leaders in multiple business and technology areas. You’re a good fit if (a) you can think big and are able to break down the big picture into measurable goals, (b) you have an instinctive understanding of what makes products successful and easy to deploy, and can raise the bar on delivering features beneficial to our customer, (c) you can dive into technical details and ask engineers insightful questions about the services that you own, and finally (d) you can think long‑term, can balance conflicting interests and priorities, and converge on outcomes that earn trust and customer loyalty. In This Role You Will
Work directly with software engineering teams to define and execute on new features. Produce clear, concise documents such as functional or technical specifications. Write user stories and perform user acceptance testing. Anticipate bottlenecks, manage risk and escalations, and balance business needs against technical constraints. Find opportunities to innovate on behalf of our customers, design features related to these opportunities, and always push to improve our product user experience. Drive feature discussions with customers, engineering, and other stakeholders. Stay connected with industry counterparts and gain insights on technology trends. About The Team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge‑sharing and mentorship. Our senior members enjoy one‑on‑one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help your team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications
Bachelor’s degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent. Experience owning/driving roadmap strategy and definition. Experience with feature delivery and tradeoffs of a product. Experience contributing to engineering discussions around technology decisions and strategy related to a product. Experience in representing and advocating for a variety of critical customers and stakeholders during executive‑level prioritization and planning. Experience in technical product management, program management or engineering. 10+ years of industry experience, with 5+ years in a technical product management or customer‑facing roles. Knowledge in full product life cycles, including technical specifications, development, go‑to‑market, pricing, customer‑facing presentations and collaboration with engineering and sales teams. Solid knowledge in computer architecture fundamentals, operating systems and cloud infrastructure engineering concepts. Ability to work in a fast paced and agile work environment with demonstrated collaboration skills and demonstrated strengths in driving through complexity, ambiguity, and unknowns in early‑stage programs. Proven experience in delivering modern software products, preferably collaborative open‑source projects. Preferred Qualifications
Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making. Experience performing statistical analysis of data using SQL, Excel and other tools. Bachelor’s degree in computer science or electrical engineering. Experience with compilers. Experience with deep learning model training or inference including large‑scale model training and inference. Hands‑on experience with at least one major ML framework: JAX or PyTorch. Experience with machine learning acceleration, model optimization and profiling. Familiarity with AWS services. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Job ID: A2975597 Company - Annapurna Labs (U.S.) Inc. Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Project Management, Information Technology, and Product Management Industries
IT Services and IT Consulting
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Join to apply for the
Sr. Technical Product Manager - AWS Neuron, Annapurna Labs
role at
Amazon Web Services (AWS) Description
AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. The Product: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is cutting‑edge software including an ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. The Team: the Amazon Annapurna Labs team is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high‑performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. You: We’re seeking a hands‑on product manager who has a passion for machine learning and developer‑focused cloud software and hardware products, and is willing to work hard for their customers. Product Management in Annapurna is an opportunity to collaborate with engineering, design, and sales/business development teams to create state‑of‑the‑art machine learning cloud services. In your role as Neuron product manager, you will be in charge of the customer voice within our team, tirelessly working closely with multiple internal teams and customers to develop the new Neuron features for training and inference, and support our growing ecosystem. Your mission will be to ensure our customers find new cutting‑edge offerings pleasing and useful to achieve their aggressive business goals. As a member of the Annapurna team you’ll dive on our technology and work closely with our internal teams, engage with leading developers and customers, and help support Annapurna's products scale to large deployments. We are looking for self‑driven individuals who can collaborate with others, and that will continuously work to deliver a world‑class customer experience. This is a fast‑paced, hands‑on, intellectually challenging position, and you’ll work with thought leaders in multiple business and technology areas. You’re a good fit if (a) you can think big and are able to break down the big picture into measurable goals, (b) you have an instinctive understanding of what makes products successful and easy to deploy, and can raise the bar on delivering features beneficial to our customer, (c) you can dive into technical details and ask engineers insightful questions about the services that you own, and finally (d) you can think long‑term, can balance conflicting interests and priorities, and converge on outcomes that earn trust and customer loyalty. In This Role You Will
Work directly with software engineering teams to define and execute on new features. Produce clear, concise documents such as functional or technical specifications. Write user stories and perform user acceptance testing. Anticipate bottlenecks, manage risk and escalations, and balance business needs against technical constraints. Find opportunities to innovate on behalf of our customers, design features related to these opportunities, and always push to improve our product user experience. Drive feature discussions with customers, engineering, and other stakeholders. Stay connected with industry counterparts and gain insights on technology trends. About The Team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge‑sharing and mentorship. Our senior members enjoy one‑on‑one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help your team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications
Bachelor’s degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent. Experience owning/driving roadmap strategy and definition. Experience with feature delivery and tradeoffs of a product. Experience contributing to engineering discussions around technology decisions and strategy related to a product. Experience in representing and advocating for a variety of critical customers and stakeholders during executive‑level prioritization and planning. Experience in technical product management, program management or engineering. 10+ years of industry experience, with 5+ years in a technical product management or customer‑facing roles. Knowledge in full product life cycles, including technical specifications, development, go‑to‑market, pricing, customer‑facing presentations and collaboration with engineering and sales teams. Solid knowledge in computer architecture fundamentals, operating systems and cloud infrastructure engineering concepts. Ability to work in a fast paced and agile work environment with demonstrated collaboration skills and demonstrated strengths in driving through complexity, ambiguity, and unknowns in early‑stage programs. Proven experience in delivering modern software products, preferably collaborative open‑source projects. Preferred Qualifications
Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making. Experience performing statistical analysis of data using SQL, Excel and other tools. Bachelor’s degree in computer science or electrical engineering. Experience with compilers. Experience with deep learning model training or inference including large‑scale model training and inference. Hands‑on experience with at least one major ML framework: JAX or PyTorch. Experience with machine learning acceleration, model optimization and profiling. Familiarity with AWS services. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Job ID: A2975597 Company - Annapurna Labs (U.S.) Inc. Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Project Management, Information Technology, and Product Management Industries
IT Services and IT Consulting
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