Audible
Director, Software Development, Machine Learning Engineering
Audible, Newark, New Jersey, us, 07175
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
This opportunity is for a Director, Software Development who will manage and grow one or more engineering teams for Audible’s Machine Learning Engineering (MLE) team. MLE will build out the core platforms and assets to enable informed data-driven decisions in order to improve Audible's overall value to the customer. The team enables Automation, self-service mechanisms, and infrastructure improvements that will allow data scientists to experiment and add novel features more quickly, and enable both existing and new models in production to retrain more frequently to be more responsive to customer behavior. Achieving this vision means continuously innovating, enhancing the tools and strengthening our development process, how we work and leveraging new technologies to deliver services. We need your help to develop and deliver on this global vision.
As a Director, Software Development, you will:Lead cross-functional project delivery across Audible and Amazon teamsPromote development and operational excellence for our flagship solutionsMentor and support high-performing engineers, fostering their growth and expertiseCollaborate with diverse teams to create innovative software that captivates our community and motivates our colleaguesHandle all aspects of software development, including operational metrics and support for your team's softwareDrive continuous improvement of delivery performance and quality in an agile environmentTake charge of 1-2 Scrum 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. Our Hub+Home hybrid workplace model gives employees the flexibility between gathering in a common office space (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid.
We are open to hiring candidates to work out of one of the following locations:Newark, NJ, USA
Basic Qualifications
7+ years of experience working directly within engineering teamsExperience partnering with product OR program management teams3+ years of people management experience, managing engineers3+ years of experience architecting and designing (architecture, design patterns, reliability and scaling) of new and current systemsExperience leading full stack development web teams5+ years experience of software development and deployment of distributed multi-tier applications3+ years experience managing agile software projects across multiple and geographically distributed teamsExperience leading teams that leveraged ML OPS/tools to build/deploy ML models to deliver best in class customer experiencesExperience implementing solutions leveraging AWS capabilitiesExpertise in building large scale systems using Java/JEE using a variety of Enterprise architectural patterns
Preferred Qualifications
Experience/Expertise in working with stakeholders across different disciplines (i.e. Data science, Product Management etc.). Be able to disagree, yet align, when dealing with different stakeholdersAction-oriented strategic thinkerDetail oriented to ensure that project successStrong verbal and communication skillsStrong analytical skills and an out of the box thinkerSelf-starter with the ability to multi-task and work in a very fast paced environmentTrack record of defining and delivering cross functional solutions that are innovative and extensibleResults oriented and with a strong customer focusHighly autonomousDelivers with little guidanceStrong mentor of peers and subordinates
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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ABOUT THIS ROLE
This opportunity is for a Director, Software Development who will manage and grow one or more engineering teams for Audible’s Machine Learning Engineering (MLE) team. MLE will build out the core platforms and assets to enable informed data-driven decisions in order to improve Audible's overall value to the customer. The team enables Automation, self-service mechanisms, and infrastructure improvements that will allow data scientists to experiment and add novel features more quickly, and enable both existing and new models in production to retrain more frequently to be more responsive to customer behavior. Achieving this vision means continuously innovating, enhancing the tools and strengthening our development process, how we work and leveraging new technologies to deliver services. We need your help to develop and deliver on this global vision.
As a Director, Software Development, you will:Lead cross-functional project delivery across Audible and Amazon teamsPromote development and operational excellence for our flagship solutionsMentor and support high-performing engineers, fostering their growth and expertiseCollaborate with diverse teams to create innovative software that captivates our community and motivates our colleaguesHandle all aspects of software development, including operational metrics and support for your team's softwareDrive continuous improvement of delivery performance and quality in an agile environmentTake charge of 1-2 Scrum 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. Our Hub+Home hybrid workplace model gives employees the flexibility between gathering in a common office space (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid.
We are open to hiring candidates to work out of one of the following locations:Newark, NJ, USA
Basic Qualifications
7+ years of experience working directly within engineering teamsExperience partnering with product OR program management teams3+ years of people management experience, managing engineers3+ years of experience architecting and designing (architecture, design patterns, reliability and scaling) of new and current systemsExperience leading full stack development web teams5+ years experience of software development and deployment of distributed multi-tier applications3+ years experience managing agile software projects across multiple and geographically distributed teamsExperience leading teams that leveraged ML OPS/tools to build/deploy ML models to deliver best in class customer experiencesExperience implementing solutions leveraging AWS capabilitiesExpertise in building large scale systems using Java/JEE using a variety of Enterprise architectural patterns
Preferred Qualifications
Experience/Expertise in working with stakeholders across different disciplines (i.e. Data science, Product Management etc.). Be able to disagree, yet align, when dealing with different stakeholdersAction-oriented strategic thinkerDetail oriented to ensure that project successStrong verbal and communication skillsStrong analytical skills and an out of the box thinkerSelf-starter with the ability to multi-task and work in a very fast paced environmentTrack record of defining and delivering cross functional solutions that are innovative and extensibleResults oriented and with a strong customer focusHighly autonomousDelivers with little guidanceStrong mentor of peers and subordinates
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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