Software Development Engineer, Catalog Management Systems (CMS)

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 ROLEAs a Software Dev Engineer II, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. Anticipate. Innovate. Bring challenging ideas and we’ll support you with the latest tech, tools and systems that you need to succeed. You’ll be essential in ensuring the team can reach their potential; working closely with them, reviewing their work, mentoring, and supporting them to develop. Together, you’ll build and maintain our platform to bring thousands of stories to millions of listeners and unleash the power of the human voice.ABOUT THE TEAMThe Catalog Management Systems (CMS) team is responsible for the tools and systems that ingest, validate, process, and publish all of the content available on the Audible platform. Our team is building next-generation systems that will revolutionize the way Audible handles its product catalog. We are developing solutions that enable seamless, no-touch audiobook processing, with robust error handling and the ability to scale effortlessly to meet the demands of our growing catalog.ABOUT YOUYou feel pride in every step forward, however big, or small; to you, each challenge represents a well-executed venture to support our listeners. If you’re looking to build on your skills and grow into a leader, this is your next step. We look for people who take responsibility, set their standards high and see every failure as an opportunity to learn. You’re looking for an environment where you can thrive. With opportunities to challenge yourself and a talented team by your side, you’ll find what you’re looking for at Audible.As a Software Development Engineer, you will...- Design, develop, and test software components and applications for a leading global provider of audiobooks- Collaborate on an agile engineering team, writing scalable and maintainable code and influencing team decisions- Collaborate with stakeholders to envision, design, develop, test, and launch customer-centric software solutions- Utilize technology to tackle challenging problems and deliver high-quality code on schedule- Demonstrate proficiency in a wide range of data structures and algorithms, applying them effectively- Independently clarify technical requirements, assess development estimates, and employ diverse design approaches- Conduct code reviews and provide constructive feedback to team members- Foster continuous improvement in software quality, customer experience, and product maintainability- Mentor and lead developers, fostering curiosity and deep technical understandingABOUT AUDIBLEAudible 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 Computer Science or related field, or equivalent experience- 2+ years of non-internship professional software development experience- Programming experience with one or more modern language (e.g., Java, C++, C#), including object-oriented design- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current system- Experience writing clear, maintainable and extensible code ...

Senior Software Development Engineer

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 ROLEAs a Senior Software Development Engineer, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. Anticipate. Innovate. Bring challenging ideas and we’ll support you with the latest tech, tools and systems that you need to succeed. You’ll be essential in ensuring the team can reach their potential; working closely with them, reviewing their work, mentoring, and supporting them to develop. Together, you’ll build and maintain our platform to bring thousands of stories to millions of listeners and unleash the power of the human voice.ABOUT THE TEAMWe build the tools, workflows and platforms that empower Audible to serve everyone who interacts with us. Whether it’s publishing content for listeners, supporting our content providers or providing essential information for legal and financial stakeholders, we are there to guarantee the right result is provided to the right person each and every time.ABOUT YOUYou feel pride in every step forward, however big, or small; to you, each challenge represents a well-executed venture to support our listeners. If you’re looking to build on your skills and grow into a leader, this is your next step. We look for people who take responsibility, set their standards high and see every failure as an opportunity to learn. You’re looking for an environment where you can thrive. With opportunities to challenge yourself and a talented team by your side, you’ll find what you’re looking for at Audible.As a Senior Software Development Engineer, you will...- Design, develop, and test software components and applications for a leading global provider of audiobooks- Contribute to an agile engineering team, writing scalable and maintainable code and influencing team decisions- Collaborate with diverse stakeholders to envision, design, develop, test, and launch impactful software that inspires both customers and peers- Utilize technology to solve complex problems- Translate designs into high-quality code, delivering on schedule- Demonstrate proficiency in diverse data structures and algorithms, making informed decisions on their appropriate usage- Independently clarify technical requirements, estimate development timelines, and apply effective design approaches- Conduct code reviews, offering constructive guidance to fellow team members- Drive continuous improvement in software quality, customer experience, and product maintainability- Mentor and lead developers, fostering curiosity and deep technical understandingABOUT AUDIBLEAudible 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- 5+ years of professional software development experience including proven experience in Java, Object Oriented Design, Data Structures and Algorithms- Experience developing and maintaining high availability distributed software systems- BA/BS degree in Computer Science, related field or equivalent practical experience- Server-side development experience, preferably in Java/Spring- Experience in multiple AWS services ...

Director, Software Development, Personalization

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 ROLEAs a Director, Software Development, you'll lead a high-performing team building innovative personalization systems that power content discovery and recommendation experiences across Audible's platforms. This position requires a leader with strong technical acumen in machine learning systems, recommendation systems proven people management experience, and the ability to drive technical strategy while delivering customer-focused personalization solutions.ABOUT THE TEAMThe Personalization team's mission is to help customers discover their next great listen by personalizing every interaction they have with Audible content. We develop scalable frameworks and systems that transform customer signals into meaningful insights, enabling personalized, contextual recommendations across our platforms. Our teams work with cutting-edge ML technologies and large-scale distributed systems to process billions of content interactions and deliver real-time personalized experiences.ABOUT YOUYou're a strategic technical leader who thrives on solving complex personalization problems at scale. You have deep experience building and leading engineering teams, with a strong foundation in recommendation systems and distributed computing. You're passionate about developing talent and creating an inclusive team culture that drives innovation. You demonstrate excellent judgment in balancing technical tradeoffs while maintaining unwavering focus on customer experience and business impact.As a Director, Software Development, you will...- Lead and grow a team of ML/software engineers building personalization and recommendation systems, providing technical mentorship and career development while fostering an inclusive environment- Own the technical strategy and roadmap for personalization systems that power discovery experiences across Audible platforms- Drive architectural decisions and technical excellence in building scalable recommendation pipelines and frameworks- Partner with product, science, and platform teams to define and execute on personalization initiatives- Establish and optimize development processes that enable rapid experimentation while maintaining high quality standards- Build mechanisms to measure and improve the customer impact of our recommendation systems- Lead hiring and development of diverse technical talent- Drive operational excellence in deploying and maintaining large-scale personalization systems- Influence cross-team technical decisions and contribute to broader organizational strategy- Champion best practices in ML engineering, including experimentation, testing, and monitoringABOUT AUDIBLEAudible 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- 7+ years of software engineering experience with 3+ years of people management experience- Experience building and operating large-scale ML/recommendation systems in production- Technical background in distributed systems, data processing, and ML infrastructure- Track record of delivering complex technical projects through effective team leadership- Bachelor's degree in Computer Science, Engineering or related field ...

Senior Quality Assurance Engineer, Royalties and Content

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 ROLEAudible’s Quality Assurance organization promotes product quality, and organizational quality ownership thru well-defined measurable processes, comprehensive quality assessment and identification of risk. In addition, the organization provides tools and infrastructure needed to support agile feature delivery, improve quality and increase engineer productivity. The team includes Quality Assurance Engineers, Quality Assurance Technicians and Software Engineers working side by side with Software Development Engineers, Product Managers, User Experience, and Customer Support staff to understand features, bugs, customer usage, and technical implementation to deliver high quality products to our customers.As a Senior Quality Assurance Engineer, you will...- Drive the creation and execution of test strategy, test plans, test cases as well as utilize automated tools to optimize the STLC- Perform exploratory testing, automate repetitive tasks and work side by side with software development engineers to deliver high quality product to Audible customers- Review BRD with Product, development engineers for conformity and functionality- Design, develop, and execute automated test scripts for backend services- Conduct end-to-end testing for complex backend systems and APIs- Collaborate with development teams to understand system architecture and identify testing needs- Utilize AWS services for testing environments and deployment of test solutions- Analyze test results and provide actionable insights to improve software quality- Identify, document, and track defects using appropriate tools- Mentor junior QA engineers and contribute to team knowledge sharing- Participate in the development and maintenance of testing frameworks and tools- Continuously improve QA processes and methodologies to enhance efficiencyABOUT AUDIBLEAudible 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- 4+ year of experience working as a Quality Assurance Engineer or SDET- Experience with rest automation using a programming or scripting language (Java or Python preferred)- Experience owning the full test strategy through test completion for major components of a software system ...

Applied Scientist

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 ROLEIn this role, you'll employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) techniques to detect and predict fraudulent activities, enhance fraud investigation capabilities, and develop advanced fraud protection and defense mechanisms. You'll leverage these technologies to analyze complex patterns in transaction data, identify anomalies, and create predictive models that can anticipate potential fraud before it occurs. Your work will be crucial in safeguarding the company's assets, protecting customers from financial harm, and maintaining the integrity of our systems. You'll translate intricate fraud patterns into actionable insights, enabling rapid response to emerging threats and informing critical business decisions related to risk management. You'll operate in an agile environment in which we own and collaborate on the life cycle of research, design, and model development of relevant projects.As an Applied Scientist, you will...- Protect Audible’s customers and content creators against the onslaught of AI-generated fraud- Develop Amazon-scale data engineering & modeling pipelines- Imagine and invent before the business asks, and create groundbreaking fraud detection and mitigation solutions using cutting-edge approaches- Work closely with other data scientists, ML experts, engineers as well as business across the globe, and on cross-disciplinary efforts with other scientists within Amazon- Contribute to the growth of the Audible Data Science team by sharing your ideas, intellectual property and learning from othersABOUT AUDIBLEAudible 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- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field +5 yrs relevant experience; or PhD- Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages- Experience in algorithm development- Depth and breadth in state-of-the-art machine learning technologies- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms- Big Data Engineering with Spark / AWS EMR & Glue ...

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