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Sr. Sales Specialist, AI/ML, AUTO & MFG, Auto & Mfg

Amazon.com Inc
  • San Francisco, CA
    14 days ago

    Job Description

    Application deadline: Aug 29, 2026

    Are you a customer-obsessed builder with a passion for helping Automotive & Manufacturing customers achieve their full potential? Do you have the business savvy, Artificial Intelligence and Machine Learning background, and sales skills necessary to help companies transform their industries by positioning Amazon Web Services (AWS) as the Generative AI and ML service provider of choice? Do you love building new strategic and data-driven businesses? Do you want to join Generative AI and ML Specialty sales organization, one of the fastest-growing organization within AWS? Join the US AWS Sales organization as a Generative AI and ML Specialist Seller!

    As a Generative AI and ML Sales Specialist, you will be at the forefront of driving adoption and revenue growth for AWS"s Generative AI and ML services. Your role will involve identifying high-value customer opportunities within a specific territory and engaging with AWS customers to understand their needs and align them with AWS Generative AI and ML solutions. You will leverage your consultative expertise to become a trusted advisor, guiding customers in embedding and deploying AWS Generative AI and ML solutions to unlock new value streams and solve key business problems. With a passion for developing high-potential opportunities and executing effective strategies, you will own the full-cycle sales engagement plan, from identifying qualified leads to realizing revenue. You will understand a customer's business initiatives, help craft account plan to achieve those initiatives, identify and drive opportunity win plans to enabling those business initiatives, and ensure successful launch to realize both customer vision and AWS revenue. You will earn trust with Line of Business, Data Science, and IT personas. You will understand detailed business drivers in your forecast and intentionally work the best opportunities that maximize your ability to hit revenue goals.

    You will maintain an in-depth knowledge of AWS"s Generative AI and ML services and relevant cross-functional areas to build strong relationships with customers. By driving the adoption of cutting-edge Generative AI and ML technologies, you will play a pivotal role in propelling AWS"s revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS' Generative AI and ML strategy and the services we offer to accelerate these workloads. You conduct compelling executive conversations on the transformational possibilities of Generative AI and ML, while also being capable of helping our customers navigate which services to evaluate for their use-cases. You can describe the "why" and "what" of Generative AI and ML use case and technical solutions at a 200-level, with the detailed "how" being provided by solution architects.

    Key job responsibilities

    • Accelerate customer adoption by defining and implementing tech domain specific GTM strategies within your assigned accounts and technology domain. Your strategies will leverage AWS Sales and our partner ecosystem.
    • Ideate with Line of Business and C-suite leaders, building trust with your deep technical expertise, and following through to help solve their most compelling business problems.
    • Act as the front line within your accounts for all specialist customer engagement in your tech domain.
    • Create & articulate compelling value propositions that address specific needs of your customers.
    • Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services.
    • Partner with the world's biggest system integrators to deliver on customer projects.
    • Spearhead market expansion by pinpointing new customer segments and Generative AI and ML use cases
    • Collaborate cross-functionally to continuously strengthen AWS"s Generative AI and ML value proposition
    • Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience
    • Drive conversations to build credibility and earn trust with the account teams and customers.
    • Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership.
    • Engage systems integrators and closely collaborate with AWS partners to deliver maximum customer value
    • Develop and deliver compelling ROI to drive adoption of AWS Generative AI and ML solutions

    A day in the life

    You're surrounded by innovation. You're empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it"s always "Day 1".

    About the team

    About AWS

    Diverse Experiences

    Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

    Why AWS

    Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Work/Life Balance

    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

    Inclusive Team Culture

    Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

    Mentorship and Career Growth

    We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

    Numbers & Facts

    LocationSan Francisco, CA
    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
    • Artificial Intelligence (AI)unmatched
    • Automotive Manufacturingunmatched
    • Budgetingunmatched
    • Business Skillsunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Cross-Functionalunmatched
    • Customer Acquisitionunmatched
    • Customer Experienceunmatched
    • Customer Relationsunmatched
    • Customer Support/Serviceunmatched
    • Customer/Client Researchunmatched
    • Data Scienceunmatched
    • Ecosystemsunmatched
    • Forecastingunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Market Segmentationunmatched
    • Mentoringunmatched
    • Needs Assessmentunmatched
    • Partner Salesunmatched
    • Problem Solving Skillsunmatched
    • Product Planningunmatched
    • Product/Service Launchunmatched
    • Return on Investment (ROI)unmatched
    • Revenue Growthunmatched
    • Salesunmatched
    • Sales Qualificationunmatched
    • Startupunmatched
    • System Integration (SI)unmatched
    • Team Playerunmatched
    • Use Casesunmatched

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