Amazon
Description
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 Product Manager, 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 help connect listeners with content they can fall in love with, and introduce them to new content that can broaden their horizons. Your mission will be to build features that delight every Audible member by making the process of finding their own content intuitive, effortless, and compelling.
As a Product Manager - Tech, you will...
Work with data science teams to evaluate the effectiveness of ML models offline using metrics such as precision, NDCG, etc
Execute the content discovery roadmap with clearly articulated and well measured goals
Define and execute on projects that improve the relevance, quality, and diversity of our algorithms
Drive understanding across Audible of how and where generative AI-based models can bolster content discovery and engagement
Collaborate and coordinate with data science and engineering teams on objectives and business requirements
Contribute to the worldwide content discovery product strategy/roadmap
Collaborate with stakeholders across Audible to optimize machine learning experiments and measure firmly understood hypotheses and business objectives
Plan and prioritize the backlog for development teams to ensure maximum value in deliverables
Translate inputs and business needs into detailed product requirements documents and user stories for engineering teams to execute
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
Basic Qualifications
Bachelor's Degree in a technical, analytical or related field
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 customer-facing product development and product management, including defining, launching, and optimizing product and services experience
Preferred Qualifications
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 with 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
Data analytics and interpretation skills
Team player: ability to 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,100/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. Applicants should apply via our internal or external career site.
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 Product Manager, 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 help connect listeners with content they can fall in love with, and introduce them to new content that can broaden their horizons. Your mission will be to build features that delight every Audible member by making the process of finding their own content intuitive, effortless, and compelling.
As a Product Manager - Tech, you will...
Work with data science teams to evaluate the effectiveness of ML models offline using metrics such as precision, NDCG, etc
Execute the content discovery roadmap with clearly articulated and well measured goals
Define and execute on projects that improve the relevance, quality, and diversity of our algorithms
Drive understanding across Audible of how and where generative AI-based models can bolster content discovery and engagement
Collaborate and coordinate with data science and engineering teams on objectives and business requirements
Contribute to the worldwide content discovery product strategy/roadmap
Collaborate with stakeholders across Audible to optimize machine learning experiments and measure firmly understood hypotheses and business objectives
Plan and prioritize the backlog for development teams to ensure maximum value in deliverables
Translate inputs and business needs into detailed product requirements documents and user stories for engineering teams to execute
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
Basic Qualifications
Bachelor's Degree in a technical, analytical or related field
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 customer-facing product development and product management, including defining, launching, and optimizing product and services experience
Preferred Qualifications
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 with 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
Data analytics and interpretation skills
Team player: ability to 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,100/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. Applicants should apply via our internal or external career site.