Manager, Analytics, Creator Products
Finance & Growth | Job ID 3023131Job Summary
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
You'll drive data-informed decision making for Audible's Creator Products team, transforming complex data into actionable insights that enhance our Text-to-Speech (TTS) and Audiobook Creation Exchange (ACX) platforms. You'll collaborate with product managers, engineers, and designers to optimize creator experiences and AI-enabled content that delight our customers and grow our business. Using your analytical expertise, you'll measure success, identify opportunities, and help shape our creator product strategy in an evolving generative AI landscape.
ABOUT YOU
You're passionate about using data to solve creator problems and are energized by the challenge of helping millions produce and discover content they'll love. You thrive in fast-paced environments, combining analytical rigor with business acumen to deliver insights that drive product decisions. You're a natural collaborator who can translate technical findings into compelling narratives for diverse audiences, with a special interest in AI and emerging technologies.
As an Analytics Manager, you will...
- Analyze complex datasets to drive improvements to our creator experiences and optimize AI-generated content performance
- Build comprehensive measurement frameworks for TTS and ACX platforms in a B2B business context
- Develop and optimize creator onboarding funnels to increase content production volume and efficiency
- Build and maintain comprehensive dashboards that track key metrics across creator journeys and platforms
- Design and implement performance measurement for AI-powered product features including translations and virtual voices
- Collaborate with research teams to understand customer perception of AI-generated content and identify improvement opportunities
- Communicate data insights clearly to cross-functional teams, from engineers to senior leadership
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.
ABOUT THIS ROLE
You'll drive data-informed decision making for Audible's Creator Products team, transforming complex data into actionable insights that enhance our Text-to-Speech (TTS) and Audiobook Creation Exchange (ACX) platforms. You'll collaborate with product managers, engineers, and designers to optimize creator experiences and AI-enabled content that delight our customers and grow our business. Using your analytical expertise, you'll measure success, identify opportunities, and help shape our creator product strategy in an evolving generative AI landscape.
ABOUT YOU
You're passionate about using data to solve creator problems and are energized by the challenge of helping millions produce and discover content they'll love. You thrive in fast-paced environments, combining analytical rigor with business acumen to deliver insights that drive product decisions. You're a natural collaborator who can translate technical findings into compelling narratives for diverse audiences, with a special interest in AI and emerging technologies.
As an Analytics Manager, you will...
- Analyze complex datasets to drive improvements to our creator experiences and optimize AI-generated content performance
- Build comprehensive measurement frameworks for TTS and ACX platforms in a B2B business context
- Develop and optimize creator onboarding funnels to increase content production volume and efficiency
- Build and maintain comprehensive dashboards that track key metrics across creator journeys and platforms
- Design and implement performance measurement for AI-powered product features including translations and virtual voices
- Collaborate with research teams to understand customer perception of AI-generated content and identify improvement opportunities
- Communicate data insights clearly to cross-functional teams, from engineers to senior leadership
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
- Master's degree in Analytics, Computer Science, Economics, Statistics or related field and two years of experience as an Analytics Manager, or related occupation; OR Bachelor's degree and five years of described experience
- Experience executing intermediate to advanced business analysis using multi-layered SQL queries
- Experience building intermediate to complex business models
- Experience distilling large datasets and translating data into actionable insights for digital media or content creation platforms
- Experience with data visualization software including Tableau
- Experience working with cross-functional teams in an Agile environment
- Experience executing intermediate to advanced business analysis using multi-layered SQL queries
- Experience building intermediate to complex business models
- Experience distilling large datasets and translating data into actionable insights for digital media or content creation platforms
- Experience with data visualization software including Tableau
- Experience working with cross-functional teams in an Agile environment
Preferred Qualifications
- Experience with AI/ML technologies, particularly generative AI, large language models, or voice synthesis solutions
- Experience building analytics solutions for creator platforms or AI-generated content
- Experience with Python or R for data analysis and machine learning applications
- Experience with A/B testing and statistical analysis methodologies
- Knowledge of creator behavior analytics and engagement metrics
- Experience working with text-to-speech technologies or audio production platforms
- Builder mentality with a passion for constructing scalable data solutions in emerging technology spaces
- Intellectual curiosity about what creates value for both creators and customers in AI-enhanced content experiences
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 $89,600/year in our lowest geographic market up to $185,000/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.
- Experience building analytics solutions for creator platforms or AI-generated content
- Experience with Python or R for data analysis and machine learning applications
- Experience with A/B testing and statistical analysis methodologies
- Knowledge of creator behavior analytics and engagement metrics
- Experience working with text-to-speech technologies or audio production platforms
- Builder mentality with a passion for constructing scalable data solutions in emerging technology spaces
- Intellectual curiosity about what creates value for both creators and customers in AI-enhanced content experiences
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 $89,600/year in our lowest geographic market up to $185,000/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.
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