Sr. Product Manager - Kernels, AI/ML, Annapurna Labs

Amazon • Cupertino, CA

12d

About The Position

AWS Neuron is looking for an experienced Technical Product Manager to define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library enabling custom kernel development and optimization. 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 NKI requirements working backward from customer needs, drive kernel library features definition, and drive developer experience for custom kernel development, enabling customers to successfully and independently develop and optimize ML workloads on AWS Neuron through deep understanding of compiler systems, kernel optimization, and hardware acceleration. The ideal candidate will have solid understanding of compiler technologies, computer architecture, and ML systems. They should be able to assess technical implications of compiler architecture decisions, understand customer needs, and drive developer experience strategy. Experience with ML frameworks, model architectures, and distributed computing is highly valuable. Additionally, the ideal candidate should have: 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 About AWS Neuron: 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 a Software that include 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 Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) 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 teams 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. About AWS Utility Computing (UC): 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 cloud computing offerings across the AWS portfolio. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses

Requirements

• Bachelor's degree
• 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 managing technical products or online services
• Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Nice To Haves

• Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
• Experience in building and driving adoption of new tools

Responsibilities

• 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

Benefits

• Our compensation reflects the cost of labor across several US geographic markets.
• The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market.
• Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
• Amazon is a total compensation company.
• Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
• For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits
• This position will remain posted until filled.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level