Senior Product Manager, AI Content Discovery

Amazon•Newark, NJ

11d

About The Position

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE 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, which encompasses Search, Personalization and Browse, 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. ABOUT YOU 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. An accountable, hands-on problem-solver, you let nothing stand in your way. With strong problem-solving skills, deep product management experience, and an understanding of ML/AI-powered content discovery systems, you excel at communication and data-driven decision-making. Ready to engage with engineering teams, you work cross-functionally to solve complex discovery problems. If you love rolling up your sleeves, getting stuff done, and have a passion for AI-driven content discovery in the media industry, this role is for you. As a Senior Product Manager, AI Content Discovery, you will...

Requirements

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
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
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

Nice To Haves

Content streaming/media/entertainment industry experience (books, music, movies, etc.)
Ability to evaluate and recognize the benefits and limitations of various AI/ML models

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

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