About The Position

Amazon Catalog Services builds the systems that host and run the world’s largest e-Commerce catalog. Within this organization, Product Knowledge (PK) is responsible for mining, modeling, storing and vending the product catalog metadata. This metadata (schema) governs all the possible product information and powers Amazon end-to-end processes, starting on how we organize products, how we define all possible product attributes, how we guide selling partners when listing them, all the way to power customer shopping experiences (e.g., product overview in detail pages, browse taxonomy, search and navigation filters). If you've ever shopped on Amazon, you interacted with our product. We are building new services to scale creation of metadata using Generative AI, building comprehensive Product Knowledge and making faster decisions comparable to humans by leveraging LLMs and GenAI Agents with high precision. We are hiring a Software Development Manager (SDM) for this charter in New York. As a Software Development Manager, you will be leading a team of software developers solving novel technical challenges, working closely with Scientists, Product/Program Managers and Business stakeholders on a daily basis. You will own both the strategy and execution of your charter, identifying and deciding investments that scale systems, and building durable solutions. As the leader of the Schema Generation services you will monitor and provide direct visibility to senior stakeholders, establish partnerships, collaborate with peer teams and prioritize initiatives that impact our businesses.

Requirements

  • 5+ years of engineering team management experience
  • 7+ years of working directly within engineering teams experience
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or experience in defining and creating benchmarks for assessing GenAI model performance
  • Knowledge of data modeling and data pipeline design
  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Nice To Haves

  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or experience including, building and maintaining data flows and pipelines

Responsibilities

  • Collaborate effectively with cross-functional teams including customers, product managers, stakeholders and leaders to ensure the successful end to end delivery of product capabilities.
  • Define your team's roadmap and manage the ongoing projects, keeping customers informed, update senior management, and represent the team to their dependencies.
  • Technical leadership including architecture and design discussions for engineering problems and technical deep dives to ensure resolution and root causes of complex issues.
  • Work with your team and peers to implement best practices in software development and operational processes.
  • Develop and grow the members of your team, as well as mentor others.
  • Continuously grow team skills, learn new technologies (GenAI, LLMs, Agents), to identify opportunities and stay current in our rapidly changing environment.

Benefits

  • equity
  • sign-on payments
  • medical
  • financial

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Number of Employees

5,001-10,000 employees

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