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Amazon Corporate LLC Sr. Product Manager in Seattle, Washington

The AI team within AWS is responsible for setting the AI strategy and delivering machine learning services across multiple segments and requirement to AWS customers. Today, the team provides ML framework and infrastructure like Apache Mxnet and Pytorch for AWS, Inferentia etc. ; ML platform services like Sagemaker and Groud truth etc. and AI services like CodeGuru, SageMaker, Comprehend, Rekognition, Lex, Polly Transcribe, and many more.As a Product Manager, you will drive the business planning for the service - developing business targets and resource requirements, influence our long-term technical and business strategy. You will be seen as the subject matter expert for this area within Amazon AI and will represent it in multiple conference like re:Invent , re:Mars etc.A successful candidate will bring a passion for technology services, strong business acumen and judgment, ability to define visionary, ground breaking products, desire to have an industry wide impact and ability to work within a fast moving environment in a large company to rapidly deliver services that have a broad business impact.You will manage and be responsible for understanding customer needs and delivering some of our most strategic technical projects, and have a significant bottom-line impact on our business and competitive position.Your responsibilities will include:Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction.Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation.Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning.Lead Product Launch - Own the go-to-market plan to deliver results that ensure the customer and business goals are met in operational launch plans.Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growthLead interaction with Technical Team - Including helping the technical team make trade-offs based on customer requirements, QA/testing of the product.Influence senior leaders across Amazon and communicate Amazon AI's vision, strategy, goals, status, and customer impactThe AWS AI team has a really unique opportunity where the right person can help shape the future by helping us build a new AI/ML based service.You must be a self-starter that is good at handling lots of ambiguity, be excited about the future of AI/ML, and am comfortable with 1:1 deep dives as well as high level conference presentations in front of decision makers. So if you are a great PM who is motivated by working with scientists, developers, building strategies, and delivering results then lets have a casual chat and see if we are a good match.The AI team within AWS is responsible for setting the AI strategy and delivering machine learning services across multiple segments and requirement to AWS customers. Today, the team provides ML framework and infrastructure like Apache Mxnet and Pytorch for AWS, Inferentia etc. ; ML platform services like Sagemaker and Groud truth etc. and AI services like CodeGuru, SageMaker, Comprehend, Rekognition, Lex, Polly Transcribe, and many more.In this role, you will be owning one of AI services - Amazon CodeGuru Reviewer. The CodeGuru Reviewer service helps customers to automatically review their code and identify critical issues like multi-threading, resource leaks, AWS best practices, sensitive information leak etc. The goal of the service is to help customers write bug

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