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Amazon
Amazon Shipping is our externalized business providing small parcel transportation services to sellers and shippers. Amazon Shipping leverages planning and transportation’s foundational systems together with operations capabilities to pick up packages from shipper warehouses and inject them into the Amazon Fulfillment Network (AFN) outbound transportation network to provide an end-to-end parcel delivery product we can sell. Our vision is to become an end-to-end transportation network. We will empower businesses to focus more on their core business objectives, by abstracting network complexities and organizational structures. We will leverage 1p transportation network using simpler interfaces instead of having separate integrations with many internal services. The 1p transportation network will provide flexible shipping speeds, lower cost, high availability and agility to customize for business specific needs, to all the businesses that use the network.
Amazon Shipping team is looking for Director of Software Development responsible for building process and technical capability to secure pickup vehicle capacity, route these vehicles to shipper warehouses, perform package pickup, receive and quality-check at Amazon facilities, then inject them into Amazon’s transportation network to successfully deliver them to recipients, along with shipper tools to manage exceptions, billing, claims and support. This requires building the capability to serve any shipper, regardless of its size or affiliation with Amazon, by offering a differentiated, tech-enabled shipping experience on the backbone of the Amazon fulfillment network. Amazon Shipping today serves hundreds of million packages and operating in 6 countries, with the plan to very quick scale to several billion packages.
This leader will drive the following key customer outcomes for Amazon Shipping:
1) Improve Promise Eligibility
2) Improve Label Conversion
3) Speed improvements
4) Reduce First Mile pickup cost
5) Reduce missed pickups and late pickups
6) Reduce claims
This role will manage Amazon Shipping teams and charter based out of India. We expect the size of this team to be 130 + FTEs spread across SDMs, SDEs, TPMs, Applied and Research Scientists, Business Intelligence Engineers (BIE), Programmer Analyst and Program Manager. This leader will recruit and develop high-caliber leaders and individuals. This role represents significant intellectual, technical and innovation challenges with large opportunity for business impact.
Key job responsibilities
1) Fulfilment: Speed, Promise, Label Purchase and API integration
2) Demand Forecasting
3) First Mile experience
4) Claims, Billing and Payments
5) Quality Assurance
6) Science charter
A day in the life
You will be expected to wear multiple hats, ruthlessly prioritizing your and your organization’s time. You will lead and participate in strategy and roadmap discussions with executives and establish mechanisms to audit and support your teams in innovating and delivering results. You will be equally comfortable writing and discussing narrative documents to VP/SVPs as discussing the details of a particular API implementation with a software developer. You will work across organizations and disciplines (e.g. Product, Program, Science, Design and Engineering) to identify capabilities, influence design, architecture and development of shared services and orchestrate solutions. You will influence the three-year architectural plan and drive tradeoff decisions balancing long term vision with delivering immediate impact to our customers.
You will seek to deeply understand and step-change improve the customer experience using data and anecdotes. You will look around corners to proactively mitigate obstacles and get ahead of industry trends.
1) Bachelor's degree in Computer science or related field.
2) 15+ years of software engineering experience.
3) 8+ years of demonstrated experience managing senior engineering managers.
4) Understanding of software engineering practices & best practices for the full software development life cycle including coding standards, build processes, testing, and operations.
5) Background in AI, machine learning, natural language processing, and related disciplines
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