Lead Software Engineer

Personalization, Search, and Content Discovery applications. Our mission is to develop the next generation of customer-centric solutions to help Audible customers find their next listen effortless. ABOUT YOU As a Lead Software Engineer, you will... - Design and develop novel discovery architecture systems - Development end-to-end solutions addressing complex technical and business challenges - Architect systems with a focus on performance, scalability, and efficiency - Conduct advanced research and prototype innovative Personalization and Search approaches - Collaborate cross-functionally to align technical solutions with strategic objectives - Mentor junior engineers and contribute to technical knowledge sharing - Lead technical design reviews and provide architectural guidance 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 - 5+ years of non-internship professional software development experience - Bachelor's degree or equivalent in Computer Science - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead

or leading an engineering team - Experience with Agentic workflows Preferred Qualifications - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NJ, Newark - 184,900.00 - 250,200.00 USD annually

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Description 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 As a Lead Software Engineer, it's up to you to design, architect, and implement content discovery solutions that drive transformative technological advancements. The ideal candidate will combine deep technical expertise with strategic thinking, capable of translating complex business challenges into scalable, intelligent systems. ABOUT THE TEAM Our Content Discovery Engineering team is at the forefront of transformative technological innovation, dedicated to solving complex challenges through intelligent system design. We are a dynamic, collaborative group of technologists who push the boundaries of