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Software Development Manager, Amazon Customer Service

Amazon.com Inc

  • Seattle, WA
  • 30 days ago

    Highlights

    This is an Software Development Manager role within the CS DI organization, leading software development for Realtime Context Intelligence - a domain that transforms raw data into AI-ready data in real-time (or near-real-time) and bridges the gap between data and AI. The role focuses on three key areas: Real-time data transformation: Developing real-time solutions to perform data transformations that support real-time use cases, such as real-time data redaction.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    The Data Intelligence (DI)team is a new function within Amazon Customer Service (CS). We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Computer Vision, ML, Ontology, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.

    This is an Software Development Manager role within the CS DI organization, leading software development for Realtime Context Intelligence - a domain that transforms raw data into AI-ready data in real-time (or near-real-time) and bridges the gap between data and AI.

    The role focuses on three key areas:

    • Real-time data transformation: Developing real-time solutions to perform data transformations that support real-time use cases, such as real-time data redaction.
    • Real-time signal enrichment: Developing real-time solutions to perform signal enrichments, including customer reason code and customer perceived resolution.
    • Real-time data aggregation and analytics: Developing solutions to enable real-time data aggregation and analytics, such as real-time metrics for detection of peak events and emerging escalation patterns.

    Key job responsibilities

    • Define the technical strategy and establish the long-term vision for the technical foundation of Data Intelligence team.
    • Partner with leaders across multiple functions including science, product, data engineeering, and BIE. Influence technical direction beyond your immediate team.
    • Collaborate with other engineering leaders in the org to drive the technical innovation of our technical foundation.
    • Develop high-performing team through hiring, mentoring and retaining top talents.
    • Drive operational and engineering excellence with setting high standards for security, quality and engineering best practice.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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