Amazon.com Inc logo

Sr. Program Manager, Enterprise AI

Amazon.com Inc

  • Seattle, WA
  • 14 days ago
    Want to know if you’re a fit?
    Upload your resume and let our AI show you.

    Skills

    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Automationunmatched
    • Communication Skillsunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Frequently Asked Questions (FAQ)unmatched
    • Functional Programming Languagesunmatched
    • Leadershipunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Pagerunmatched
    • Process Improvementunmatched
    • Product Lifecycleunmatched
    • Product Programsunmatched
    • Project/Program Managementunmatched
    • Public/Media/Press/Analyst Relationsunmatched
    • Resource Managementunmatched
    • Risk Analysisunmatched
    • Risk Managementunmatched

    Description

    Enterprise Foundational AI (EFAI), a team within Enterprise Engineering, accelerates Amazon"s AI-native transformation by building, integrating, and scaling foundational AI products and experiences that power Amazonian productivity globally. We"re seeking a creative, industrious, customer-obsessed Program Manager who is interested in joining a team with a high-impact mission.

    As a Program Manager in our Enterprise Foundational AI organization, you will lead the strategy and execution of complex, cross-functional programs that transform how Amazonians work. You will drive program delivery across foundational AI primitives and core AI products, define program vision and objectives, and ensure that initiatives spanning multiple organizations and geographies deliver measurable business impact at scale.

    Key job responsibilities

    As a Program Manager, you will be responsible for managing the lifecycle of complex cross-functional programs with considerable impact across Amazon"s AI-native transformation.

    This includes defining your program (mission, vision, tenets), setting objectives, analyzing data, and driving improvements that are quantified with metrics. You will manage the roadmap for the organization, which may include contributing to OP1/OP2 narratives and ownership of one or more organizational goals. You"ll need to understand the significant business problems in the AI and enterprise productivity space, automation limitations, scaling factors, boundary conditions, and the reasons behind leadership decisions.

    You will drive mindful discussions that lead to crisp decisions, ensuring stakeholder needs are aligned across partner organizations. You will provide long-term perspective and context for business and technology choices, partner with customers and engineering teams to determine what projects move forward and in what priority order, and make smart trade-offs (e.g., time vs. effort vs. deliverables). You will oversee the gaps between teams, processes, and systems, proactively identify and mitigate risks before they become roadblocks, and help teams reduce exposure to classic failure modes such as requirements not sufficiently understood, ineffective cross-team collaboration, or insufficient stakeholder review. You will influence resource allocation, enlist senior individual contributors and leaders to ensure solutions scale, and demonstrate good judgment in how and when to escalate.

    A day in the life

    Your day-to-day responsibilities will include regularly reviewing metrics and proactively seeking out new and improved data mechanisms for visibility into program health and AI-driven productivity outcomes. You will create plans with clear, measurable success criteria, clearly communicate progress and outcomes to directors and VPs, and write effective narratives (e.g., Amazon 6-pagers, PR/FAQs, reporting). You"ll work with teams to improve concurrent project delivery, streamline or eliminate excess process, and influence teams to decouple from dependencies and eliminate problems that stifle innovation or cause user dissatisfaction. Additionally, you"ll build consensus when confronted with discordant views, actively recruit and develop others through mentoring, and peer feedback.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    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

    Similar Jobs