What would you do if you had access to the world's largest product catalog with billions of products, offers, images, reviews, searches, and much more? Amazon's Catalog Systems division is looking for an exceptional Software Development Manager to lead, architect, and deliver solutions that enhance the quality of product variations in our massive catalog utilizing cloud computing, big data analytics, machine learning algorithms, and Large Language Models. An information-rich and accurate product catalog is a critical strategic asset for Amazon.

You will be the engineering leader for our Generative AI based product data quality measurement systems , managing a team of software engineers innovating to improve product evaluation shopping experiences through high-quality variation detail pages. This is a unique position that provides an opportunity to build data-driven systems at a scale rarely available anywhere else. As a leader of this team, you will conceive and deliver software solutions that leverage Generative AI and LLMs to measure data quality and produce metric, and create a positive flywheel to improve product data quality. Your work will directly influence how millions of our customers discover and buy products worldwide. You will push the state-of-the-art to explore new opportunities and turn them into AWS-backed solutions managing billions of products.

Here is a sample of some of the challenges you will be asked to solve for:

Scalability: Design and think at scale. Amazon’s product catalog has billions of records with a mind boggling variety of products and millions of customers in multiple countries. We build systems and design algorithms that are able to handle these large amounts of data and make sure the cloud usage scales sub-linear with the ever growing data size. Where traditional solutions fail we develop approximate, distributed, and streaming algorithms.

AI Integration: We build data analytical workflows to dig into the huge amounts of data available at Amazon using Generative AI, data mining, and statistics. We look for patterns, train thousands of models and use them to build solutions that improve the catalog quality. We collect knowledge through crowdsourcing and auditing and train models that generalize across the catalog.

Measure and Improve: We obsess on identifying new ways to measure the effectiveness of our solutions and ways to improve them. We identify areas of improvement in our frameworks, tools, processes and strive to make them better. We continually evaluate our success metrics and evolve our reporting systems.

Systems: We leverage Amazon’s cloud infrastructure to scale. We create production workflows and applications utilizing AWS technologies such as EMR, SWF, Data Flow, RedShift and SQS. Our systems must run reliably in the face of variations in the input data or local hardware failures in distributed systems.


KEY RESPONSIBILITIES:
• Develop the long-term strategy for your programs and translate that into an achievable road map.
· Lead a nimble team of software engineers to architect, develop, test and deploy high quality software solutions with persistent customer focus within an Agile/Scrum environment.
· Manage and execute against project plans and delivery commitments.
· Manage departmental resources: hiring, mentoring, career management and maintaining a high performing team.
· Report on status of development, quality, operations, and system performance to management.

Key job responsibilities
Technical Leadership:
• Drive technical vision and architecture for variation quality measurement and improvement systems using AI and LLMs
• Make critical technical decisions balancing speed, quality, and operational excellence
• Partner with science teams to implement ML/AI strategies for variation quality improvement
• Lead design reviews and architecture discussions for complex distributed systems

Team Leadership & Development:
• Lead and grow a team of software engineers, including senior engineers and tech leads
• Build relationships across Science, Product, and Business teams to drive alignment
• Influence senior leadership on technical strategy and resource allocation
• Develop and mentor future technical leaders within the organization

Delivery & Execution:
• Own end-to-end delivery of variation quality improvements across global marketplaces
• Drive quarterly planning and execution, ensuring progress toward goals
• Establish metrics to measure progress and impact
• Build scalable processes for managing billions of product relationships
• Create feedback loops with Selling Partners to ensure sustained data quality improvements

Operational Excellence:
• Design robust monitoring and alerting systems for variation quality metrics
• Ensure high availability and reliability of measurement systems
• Drive operational improvements through automation
• Implement scalable solutions using AWS technologies
• Manage technical debt while maintaining development velocity