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Sr Product Manager - Tech, AWS Analytics Engineering Deals Desk

Amazon.com Inc

  • Seattle, WA
  • 2 days ago

    Highlights

    These services-spanning object storage, block storage, file systems, data streaming, processing and analytics-form the critical data infrastructure layer that underpins virtually every enterprise cloud architecture, and increasingly, the AI and machine learning workloads reshaping them. Drive cross-functional alignment across Go-to-Market (GTM), Finance, Strategic Customer Engagement (SCE), -Legal, Service Teams, and Account Teams to evaluate pricing strategies, structure complex deals, and identify growth initiatives.

    Numbers & Facts

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

    Description

    -Amazon Web Services (AWS)"s Analytics Engineering organization is seeking a Senior Product Manager - Tech to define and execute the private pricing strategy for AWS"s foundational Storage and Analytics services. These services-spanning object storage, block storage, file systems, data streaming, processing and analytics-form the critical data infrastructure layer that underpins virtually every enterprise cloud architecture, and increasingly, the AI and machine learning workloads reshaping them. As generative AI accelerates demand for large-scale data storage, high-throughput processing, and real-time streaming pipelines, these services represent some of AWS"s largest and fastest-growing business lines. You will shape the pricing product roadmap and cross-functional execution required to drive service adoption and revenue growth at scale.

    • You will operate at the intersection of product strategy, pricing economics, and customer engagement-translating deep technical understanding into pricing constructs that accelerate cloud adoption, simplify complex pricing constructs and cloud migrations.

    Key job responsibilities

    Pricing Strategy & Product Roadmap

    • Own and evolve the end-to-end private pricing strategies for AWS Storage and Analytics services, including pricing model design, private deal structuring, and service-level approval frameworks for specialized and custom engagements.
    • Define and prioritize the pricing product roadmap, partnering with Engineering teams to build new private pricing features, automation capabilities, and scalable pricing constructs.

    Cross-Functional Collaboration

    • Drive cross-functional alignment across Go-to-Market (GTM), Finance, Strategic Customer Engagement (SCE), -Legal, Service Teams, and Account Teams to evaluate pricing strategies, structure complex deals, and identify growth initiatives. Partner with Sales, Solution Architects, and Business Development to solve intricate pricing and product challenges for AWS"s most strategic and large-scale customers.

    Technical Depth & Product Expertise

    • Develop deep technical fluency across your service portfolio-understanding service architectures, usage patterns, cost drivers, and workload characteristics-to connect product and technical strategies with pricing innovation
    • Identify gaps in product capabilities through pricing engagement insights and advocate for product enhancements that unlock growth vectors

    Operational Excellence & Intelligent Automation

    • Design and build agentic workflows and AI-assisted tooling to continuously optimize, automate, and scale pricing operations, deal analysis, and approval processes
    • Champion operational efficiency by identifying process bottlenecks and implementing scalable solutions that reduce cycle times and improve the customer experience

    A day in the life

    You will manage pricing strategy and influence decisions for all private and custom deals across AWS Storage and Analytics services. This includes owning service-level approvals for private pricing agreements, developing and iterating on pricing constructs and mental models that create mutual value with customers. You will regularly engage with AWS"s largest and most strategic customers alongside account teams and SCE, translating complex technical requirements into pricing solutions that accelerate adoption and migration. You will build and leverage agentic AI workflows to scale your analytical capacity and drive faster, more informed pricing decisions across your portfolio.

    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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