Amazon
Senior Product Manager, AI Content Discovery
Audible is seeking a Senior Product Manager, AI Content Discovery to define and build critical experiences that will help the right users find the right content at the right time. As part of the Content Discovery team, you will leverage AI technologies to connect listeners with content they love. Your mission will be to build features that delight every Audible member by making content discovery intuitive, effortless, and compelling. You're a continuous learner with a commitment to action and an attitude that anything is possible. You execute cross-functional projects with a relentless customer focus. Responsibilities
Define and execute the roadmap with clearly articulated and well-measured goals, contributing to the worldwide Content Discovery product strategy Develop and execute strategies to enhance personalized content discovery experiences, leveraging AI and machine learning techniques to connect users with relevant content based on their unique preferences and behaviors Build with an AI-first mindset, championing the latest innovations in GenAI technology and implementing them in content discovery experiences Lead cross-functional collaboration with engineering, data science, and UX teams to create discovery experiences that are meaningful, delightful, and driven by advanced AI algorithms Work with data science teams to evaluate AI/ML models choices and determine tradeoffs between performance and efficiency Design and implement personalization features that empower customers to shape their experience, connecting them with content they'll love based on their listening patterns Drive understanding across Audible of the impact and potential of AI-powered discovery initiatives, championing data-driven insights to bolster content engagement Measure and analyze the performance of AI/ML-powered discovery features against business objectives, continuously optimizing and refining models Interpret insights and translate complex technical concepts into clear product requirements documents for engineering teams Basic Qualifications
Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics 5+ years of experience in consumer product management, with 1+ year in complex organizations Experience in data driven hypothesis testing and experimentation Experience working with design teams to improve the user experience for customer facing products/features Preferred Qualifications
3+ years of relevant professional experience in a consumer-facing machine learning oriented product management role Experience with generative AI, large language models, and their applications in customer-facing experiences Experience implementing AI/ML solutions for search, browse, or content recommendation features Content streaming/media/entertainment industry experience (books, music, movies, etc.) Ability to evaluate and recognize the benefits and limitations of various AI/ML models Strong data analytics and interpretation skills Experience with rapid prototyping of AI-driven features and conducting A/B tests Team player: Strong, demonstrated ability to rally and bring varying functional teams together Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Audible is seeking a Senior Product Manager, AI Content Discovery to define and build critical experiences that will help the right users find the right content at the right time. As part of the Content Discovery team, you will leverage AI technologies to connect listeners with content they love. Your mission will be to build features that delight every Audible member by making content discovery intuitive, effortless, and compelling. You're a continuous learner with a commitment to action and an attitude that anything is possible. You execute cross-functional projects with a relentless customer focus. Responsibilities
Define and execute the roadmap with clearly articulated and well-measured goals, contributing to the worldwide Content Discovery product strategy Develop and execute strategies to enhance personalized content discovery experiences, leveraging AI and machine learning techniques to connect users with relevant content based on their unique preferences and behaviors Build with an AI-first mindset, championing the latest innovations in GenAI technology and implementing them in content discovery experiences Lead cross-functional collaboration with engineering, data science, and UX teams to create discovery experiences that are meaningful, delightful, and driven by advanced AI algorithms Work with data science teams to evaluate AI/ML models choices and determine tradeoffs between performance and efficiency Design and implement personalization features that empower customers to shape their experience, connecting them with content they'll love based on their listening patterns Drive understanding across Audible of the impact and potential of AI-powered discovery initiatives, championing data-driven insights to bolster content engagement Measure and analyze the performance of AI/ML-powered discovery features against business objectives, continuously optimizing and refining models Interpret insights and translate complex technical concepts into clear product requirements documents for engineering teams Basic Qualifications
Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics 5+ years of experience in consumer product management, with 1+ year in complex organizations Experience in data driven hypothesis testing and experimentation Experience working with design teams to improve the user experience for customer facing products/features Preferred Qualifications
3+ years of relevant professional experience in a consumer-facing machine learning oriented product management role Experience with generative AI, large language models, and their applications in customer-facing experiences Experience implementing AI/ML solutions for search, browse, or content recommendation features Content streaming/media/entertainment industry experience (books, music, movies, etc.) Ability to evaluate and recognize the benefits and limitations of various AI/ML models Strong data analytics and interpretation skills Experience with rapid prototyping of AI-driven features and conducting A/B tests Team player: Strong, demonstrated ability to rally and bring varying functional teams together Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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