Senior Product Manager, AI Content Discovery

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...

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

innovations in GenAI technology and implementing them in content

discovery experiences

collaboration with engineering, data science, and UX teams to

create discovery experiences that are meaningful, delightful, and

driven by advanced AI algorithms.

science teams to evaluate AI / ML models choices and determine

tradeoffs between performance and efficiency

implement personalization features that empower customers to shape

their experience, connecting them with content they'll love

based on their listening patterns

across Audible of the impact and potential of AI-powered discovery

initiatives, championing data-driven insights to bolster content

engagement

AI / ML-powered discovery features against business objectives,

continuously optimizing and refining models

insights and translate complex technical concepts into clear

product requirements documents for engineering teams

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 quantitative / technical field such as

computer science, engineering, statistics

experience in consumer product management, with 1+ year in complex

organizations

testing and experimentation

design teams to improve the user experience for customer facing

products / features

PREFERRED QUALIFICATIONS

consumer-facing machine learning oriented product management role

and their applications in customer-facing experiences

Experience implementing AI / ML solutions for search, browse, or

content recommendation features

streaming / media / entertainment industry experience (books, music,

movies, etc.)

benefits and limitations of various AI / ML models

data analytics and interpretation skills

with rapid prototyping of AI-driven features and conducting A / B

tests

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.

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 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 $136,100 / year in our lowest geographic market

up to $235,200 / 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 . This position will remain posted until

filled. Applicants should apply via our internal or external career

site.