Director of Software Development, Amazon Shipping

Amazon Amazon · Big Tech · IN, TS, Hyderabad · Software Development

Director of Software Development for Amazon Shipping, responsible for building the technical and process capabilities to manage a large-scale transportation network. The role involves leading a significant team (130+ FTEs) across various functions including engineering, science, and business intelligence, with a focus on improving key customer outcomes like delivery speed, cost reduction, and claims management. While the role mentions AI/ML and managing scientists, its core focus is on the operational and software development aspects of a logistics product, not on core AI/ML model development or research.

What you'd actually do

  1. Fulfilment: Speed, Promise, Label Purchase and API integration
  2. Demand Forecasting
  3. First Mile experience
  4. Claims, Billing and Payments
  5. Quality Assurance

Skills

Required

  • Bachelor's degree in Computer science or related field
  • 15+ years of software engineering experience
  • 8+ years of demonstrated experience managing senior engineering managers
  • Understanding of software engineering practices & best practices for the full software development life cycle including coding standards, build processes, testing, and operations
  • Background in AI, machine learning, natural language processing, and related disciplines

Nice to have

  • Master's degree in Computer Science or related field
  • Demonstrated experience leading product and development teams, with a focus on customer service or user-facing technologies
  • Experience in a lead role in bringing a product to market
  • Proven track record of taking emerging technologies from research to production-ready solutions
  • Experience deploying and optimizing self-service portals, knowledge bases, chatbots, and other AI-powered customer service tools
  • Familiarity with generative AI models and applications in customer interactions, and process automation
  • Excellent communication and stakeholder management skills

What the JD emphasized

  • 15+ years of software engineering experience
  • 8+ years of demonstrated experience managing senior engineering managers
  • Background in AI, machine learning, natural language processing, and related disciplines