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Sr Manager, Software Development , Customer Service Network Solutions

Amazon

  • Seattle, WA
  • 30+ days ago
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    Skills

    • Agile Programming Methodologiesunmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Business Operationsunmatched
    • Concreteunmatched
    • Concurrencyunmatched
    • Concurrent Programming Language Familyunmatched
    • Consumer Softwareunmatched
    • Continuous Improvementunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Customer Service Toolsunmatched
    • Customer Support/Serviceunmatched
    • Design Patterns Programming Methodologiesunmatched
    • Develop and Maintain Customersunmatched
    • Ecosystemsunmatched
    • Engineeringunmatched
    • Engineering Managementunmatched
    • Incident Managementunmatched
    • Incident Responseunmatched
    • Loyalty Programsunmatched
    • Mentoringunmatched
    • Network Architecture/Engineeringunmatched
    • Network Monitoringunmatched
    • On Callunmatched
    • Product Managementunmatched
    • Product Programsunmatched
    • Project Developmentunmatched
    • Project/Program Managementunmatched
    • Proof of Conceptunmatched
    • Quality Managementunmatched
    • Risk Analysisunmatched
    • Software Designunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Team Buildingunmatched
    • Team Lead/Managerunmatched
    • Technical Leadershipunmatched
    • Technical Recruitingunmatched

    Description

    Description Customer experience is at the heart of all we do at Amazon, as we strive to be Earth's most customer-centric company. Amazon Customer Service (CS) is at the forefront of customer experience, working relentlessly to provide customers a convenient, high quality, and delightful experience - across all of our CS channels - in every interaction. Within CS, Network Solutions is responsible for designing, planning, and operating the world's largest customer service network - building intelligent, adaptive systems that anticipate demand, match customers to optimal experiences, and continuously improve service quality. We are transforming CS from a manually operated, reactive model into an AI-native ecosystem that makes CS a growth driver and competitive advantage for Amazon. We are seeking a Sr. Manager, Software Development to lead the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds to, and recovers from incidents across our global Customer Service network. Today, our incident management relies on 18+ disconnected tools, 42 manual steps, and reactive detection that takes over 30 minutes. This leader will build the engineering team and technical systems that replace this fragmented approach with continuous observability, autonomous response, and intelligent customer recovery - all operating in real-time at massive scale. The ideal candidate is a strong technical leader who thrives in ambiguity, can translate a bold vision into a concrete engineering roadmap, and is passionate about building high-performing teams. You will partner closely with science, product, and operations leaders to deliver AI-powered capabilities that detect risks before customers feel them, respond in sub-60 seconds, and execute tailored recovery actions that turn service failures into loyalty-building moments. This is an exciting opportunity to build transformative technology that directly impacts the experience of millions of customers. Key job responsibilities - Lead the design, architecture, and delivery of an AI-native observability and incident management service serving Amazon's global Customer Service network - Build and develop a high-performing engineering team, hiring and mentoring software development engineers across multiple disciplines - Architect real-time signal detection and observability systems that continuously monitor network health, identifying risks and anomalies before customer impact - Deliver autonomous incident response and recovery capabilities that replace manual, fragmented processes with intelligent, real-time intervention - Partner with Applied Science teams to develop and integrate ML models for anomaly detection, predictive alerting, and closed-loop learning workflows - Drive technical roadmap execution from proof-of-concept through production, balancing speed of delivery with long-term architectural quality - Collaborate cross-functionally across Network Solutions and partner teams to integrate platform capabilities into the broader CS ecosystem - Establish operational excellence practices for production services, including on-call, incident response, and continuous improvement mechanisms About the team Network Solutions is on a mission to transform Amazon Customer Service from a cost center into a growth driver by building intelligent, adaptive systems that anticipate demand, match customers to optimal experiences, and continuously improve service quality. The Network Control Center is a new initiative within Network Solutions focused on ensuring network health and reliability through continuous observability, situational awareness, and proactive intervention - leveraging AI to monitor, interpret, and act on risks to customer journeys across all channels. Basic Qualifications - 10+ years of engineering experience - 5+ years of engineering team management experience - 10+ years of planning, designing, developing and delivering consumer software experience - Experience partnering with product or program management teams - Experience managing multiple concurrent programs, projects and development teams in an Agile environment Preferred Qualifications - Experience managing engineers - Experience designing and developing large scale, high-traffic applications - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually

    Numbers & Facts

    LocationSeattle, WA
    IndustryOther/Not Classified
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    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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