Sr. PM-T, Kernels, AI/ML, Annapurna Labs

About the role

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 our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Requirements

• Bachelor's degree
• Experience owning/driving roadmap strategy and definition
• Experience with feature delivery and tradeoffs of a product
• Experience with technical product management
• Experience in project management methodologies, business analysis, or process improvement
• Experience working directly with Engineers on product enhancements
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also off

Additional Information

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. Key job 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

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