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Sr. Worldwide Specialist - AI, Data & AI GTM

Amazon.com Inc
  • Seattle, WA
    12 days ago

    Job Description

    We are seeking a go-to-market (GTM) specialist to own the enablement and sales acceleration strategy for AWS's Open Data for AI portfolio, specifically Project Avalanche (Apache Iceberg on AWS), Amazon SageMaker Unified Studio (Context), This role sits within the Data Sales Acceleration Team in the AWS WWSO Data and AI Foundations organization and is responsible for accelerating how AWS sales and technical teams position, sell, and deliver open data formats as the foundation for AI workloads.

    The ideal candidate will develop and execute GTM programs that help the field understand the customer journey from legacy data lakes to open table formats (Iceberg) and unified analytics environments (SageMaker Unified Studio), positioning these services as critical infrastructure for AI/ML workloads. You will own worldwide programs and time-bound initiatives that help AWS sellers create and progress sales opportunities, design and deliver enablement content, and collaborate with Product Marketing, SA teams, and partner organizations to scale the Avalanche motion globally.

    The ideal candidate will possess a proven track record in program management, business development, or pre-sales functions with domain knowledge of data lakes, open table formats, analytics, and agentic AI. They should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions, and work cross-organizationally to build consensus. This candidate must communicate clearly through Amazon business narratives, weekly status updates, and data-driven reporting using Quick to unlock business insights for leaders.

    Key job responsibilities

    • Design, manage, and optimize sales plays and programs: set goals, establish timelines, develop RACI matrices, manage campaign codes and SFDC service mappings, and continuously track pipeline influence, win rates, and deal velocity to inform iteration
    • Own Sales play execution for the Open Data for AI portfolio (Project Avalanche/Iceberg, SageMaker Unified Studio, Context): define plays in Alchemy, create HighSpot pages with value propositions and discovery questions, publish to Sales Velocity Dashboard with complete metadata, push to Autonomous Prospecting, and track performance (Created ARR, win rate, deal velocity, launched ARR) across all AWS geographies
    • Develop and deliver internal and external enablement (virtual webinars, in-person roadshows, hands-on workshops, regional customer events via BOOST): analyze revenue and sentiment metrics to prioritize topics, build propensity-based target lists, execute multi-channel promotion, track 30-day (internal) and 6-month (external) pipeline influence via Zoom-to-SFDC matching, and feed the prescriptive scorecard
    • Collaborate with Avalanche GTM, SA organizations, and field specialists to position open table formats (Iceberg) as the data foundation for AI, disseminate competitive differentiation and customer proof points for the portfolio to field sellers and the AWS Partner Network
    • Report program status and strategic recommendations to senior leadership through Amazon business narratives and MBR documents, including pipeline metrics, scorecard verdicts, and resource allocation guidance
    • Design and deploy AI-powered productivity tools (Amazon Quick Desktop skills, Q Apps, Q Agents) to automate operational workflows across the team

    A day in the life

    The mission of the Data Sales Acceleration Team is to create and leverage mechanisms that increase the velocity of data and analytics sales from top-of-funnel lead generation to launching and scaling customers' data and analytics productions. As the Open Data for AI GTM Specialist, you will spend your time designing enablement programs that teach sellers to position Iceberg migrations, collaborating with the Avalanche GTM specialists' team on new launches, analyzing pipeline and attach metrics to identify coverage gaps, and running global enablement sessions. You will work across time zones with AWS employees from sales, solutions architecture, product marketing, and partner organizations.

    About the team

    The Data Sales Acceleration team drives GTM enablement and sales play execution for Database, Analytics, and Data Foundations for AI across seven workstreams: Program Management, Sales Play Execution, Internal Enablement, External Enablement, Content/HighSpot Management, Newsletters & Comms, and Productivity & AI Agents. Operating through a domain-mapped model integrated with Banjot Chanana"s Data organization, the team builds scalable mechanisms the worldwide field self-serves, measures impact through closed-loop pipeline attribution, and prioritizes what to enable next based on revenue and sentiment signals.

    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

    Skills

    • Amazon Web Services (AWS)unmatched
    • Apacheunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Business Developmentunmatched
    • Campaignsunmatched
    • Communication Skillsunmatched
    • Content Delivery/Distributionunmatched
    • Content Managementunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Formatsunmatched
    • Database Analysisunmatched
    • Desktop PCunmatched
    • Establish Prioritiesunmatched
    • Field Salesunmatched
    • Lead Generationunmatched
    • Leadershipunmatched
    • Metadataunmatched
    • Metricsunmatched
    • Newsletterunmatched
    • Performance Analysisunmatched
    • Pre-Salesunmatched
    • Product Marketingunmatched
    • Project/Program Managementunmatched
    • Reporting Dashboardsunmatched
    • Resource Managementunmatched
    • Revenue Analysisunmatched
    • Salesunmatched
    • Sales Closing Skillsunmatched
    • Sales Managementunmatched
    • Sales Prospectingunmatched
    • Sales Strategyunmatched
    • Sales Trainingunmatched
    • Scalable System Developmentunmatched
    • Scorecardingunmatched
    • Set Goalsunmatched
    • Solution Salesunmatched
    • Status Reportsunmatched
    • Strategic Analysisunmatched
    • Technical Salesunmatched
    • Training Program Developmentunmatched
    • Webinarunmatched

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