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Sr. AI Sales Specialist, AWS Global Nonprofit Business

Amazon.com Inc

  • Arlington, VA
  • 4 days ago

    Highlights

    Manage a pipeline of qualified AI opportunities directly and through qualified Partners from initial interest through handoff to account teams for deep execution; Generate qualified AI pipeline through proactive outreach, workshops, account team engagement, and partner co-sell motions; track lead-to-opportunity conversion rates and continuously optimize. The AWS Nonprofit Business team helps nonprofit organizations harness AWS to advance their missions - from deploying generative AI solutions for constituent engagement to building ML-powered analytics that optimize program outcomes.

    Numbers & Facts

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

    Description

    AWS is seeking an AI Sales Specialist to drive awareness, qualification, and adoption of AWS AI products and services at scale across the nonprofit customer base within Worldwide Public Sector (WWPS). You will own the scaled motions that build awareness, qualify customers for AI readiness, deliver workshops that convert interest into pipeline, and build the repeatable frameworks the broader sales organization uses to engage on AI. This role combines technical capability with sales acumen and program management skill - operating across the AI Lifecycle to engage both organizations integrating AI across their enterprise and line-of-business leaders leveraging AI tools for decision-making. You will work across multiple segments and geographies to build systematic, portfolio-wide pipeline generation motions.

    Key job responsibilities

    Customer Qualification & Product Matching

    • Identify, qualify, and prioritize nonprofit customers for AI adoption at scale - building a systematic, portfolio-wide pipeline of AI-ready accounts based on readiness, use case fit, and business potential
    • Match customer needs to specific AWS AI products and services (Amazon Q, Kiro, Bedrock, SageMaker); develop and own the qualification framework for assessing AI readiness across the entire nonprofit portfolio
    • Proactively engage Account Managers and Solutions Architects across the vertical to surface AI opportunities in existing accounts; operate as the connective tissue between field teams and AI pipeline
    • Manage a pipeline of qualified AI opportunities directly and through qualified Partners from initial interest through handoff to account teams for deep execution;
    • Generate qualified AI pipeline through proactive outreach, workshops, account team engagement, and partner co-sell motions; track lead-to-opportunity conversion rates and continuously optimize

    Workshops & Customer Enablement

    • Design, develop, and deliver AI workshops and immersive experiences at scale that drive measurable conversion from awareness to adoption
    • Own workshop-to-opportunity conversion metrics; Develop workshop playbooks and delivery guides, continuously improve content, format, follow-up motions, and delivery mechanisms based on data

    Engagement Framework & Sales Enablement

    • Build and maintain a repeatable, scalable AI engagement playbook for how the broader NPO organization initiates and advances AI conversations
    • Coach and enable AEs and SAs on AI product positioning through training sessions, field ride-alongs, and just-in-time support; measure enablement effectiveness through downstream pipeline metrics

    Pipeline Development & Revenue Impact

    • Own and exceed quarterly/annual AI pipeline generation and adoption goals; proactively build top-of-funnel activity that drives AI/ML service adoption at portfolio scale
    • Identify trends and patterns in customer AI adoption across the portfolio; feed insights back to product, program, and leadership teams to inform strategy

    Customer Engagement & Ecosystem

    • Build relationships with nonprofit technology and line of business executives across NGOs, foundations, research institutions, and nonprofit financial institutions
    • Evangelize AWS AI externally at industry events, webinars, and customer roundtables; contribute to case studies and thought leadership that build market awareness at scale

    A day in the life

    Your morning starts reviewing your AI pipeline dashboard and prepping for an online workshop with a group of nonprofit executives exploring Amazon Bedrock. Mid-morning, you coach an Account Manager on positioning Amazon Quick for a membership nonprofit. Over lunch, you refine your AI qualification playbook based on last week"s conversion data. Afternoon brings a webinar evangelizing generative AI to NGO leaders together with a Partner, followed by a strategy sync with the AI team lead on a complex deal handoff. You close the day updating pipeline forecasts and drafting a demand-gen campaign for next quarter.

    About the team

    The AWS Nonprofit Business team helps nonprofit organizations harness AWS to advance their missions - from deploying generative AI solutions for constituent engagement to building ML-powered analytics that optimize program outcomes. We serve thousands of nonprofit organizations globally, and AI is transforming how they deliver on their missions. This role sits at the center of that transformation, helping nonprofits discover and adopt AI tools that will accelerate their impact. We partner with customers, AWS partners, and the nonprofit ecosystem to remove barriers to AI adoption, maximize the value of AWS programs and credits, and deliver outcomes that amplify mission impact.

    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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