Product Manager - Tech
Cambridge, Massachusetts, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
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.
- Masters/MBA degree in a technical, analytical or related field
- 2+ years experience in consumer product management
- Experience in data driven hypothesis testing and experimentation
- Experience working with design teams to improve the user experience for customer facing products/features
- Experience with Generative AI-based tools Strong analytical skills
- Data-driven: Define metrics for success and failure; ability to use quantitative and qualitative data to back up assumptions and make decisions
- Great communication skills - ability to think creatively, execute on a roadmap, build consensus and momentum
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.
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
- Masters/MBA degree in a technical, analytical or related field
- 2+ years experience in consumer product management
- 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
- Experience in content discovery (search or personalization) powered by machine learning- Experience with Generative AI-based tools Strong analytical skills
- Data-driven: Define metrics for success and failure; ability to use quantitative and qualitative data to back up assumptions and make decisions
- Great communication skills - ability to think creatively, execute on a roadmap, build consensus and momentum
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Categories:
Leadership Jobs
Product Jobs
Tags: Engineering Generative AI Machine Learning ML models Spark Testing
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Scientist II jobsData Engineer II jobsStaff Data Scientist jobsSr. Data Engineer jobsPrincipal Data Engineer jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsBusiness Intelligence Analyst jobsData Science Manager jobsData Manager jobsData Science Intern jobsSoftware Engineer II jobsDevOps Engineer jobsJunior Data Analyst jobsData Analyst Intern jobsData Specialist jobsSr. Data Scientist jobsBusiness Data Analyst jobsStaff Software Engineer jobsLead Data Analyst jobsAI/ML Engineer jobsSenior Backend Engineer jobsData Governance Analyst jobsData Engineer III jobsResearch Scientist jobs
NLP jobsAirflow jobsOpen Source jobsTerraform jobsLinux jobsKPIs jobsEconomics jobsMLOps jobsKafka jobsJavaScript jobsNoSQL jobsData Warehousing jobsPostgreSQL jobsComputer Vision jobsGoogle Cloud jobsRDBMS jobsGitHub jobsPhysics jobsScikit-learn jobsBanking jobsStreaming jobsData warehouse jobsHadoop jobsR&D jobsScala jobs
dbt jobsPandas jobsBigQuery jobsOracle jobsLooker jobsClassification jobsReact jobsScrum jobsCX jobsPySpark jobsDistributed Systems jobsRAG jobsMicroservices jobsPrompt engineering jobsRedshift jobsELT jobsIndustrial jobsJira jobsRobotics jobsGPT jobsTypeScript jobsSAS jobsOpenAI jobsMySQL jobsLangChain jobs