AIML Go-to-Market Specialist Brazil, WWSO Latam

Amazon

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profile Job Location:

São Paulo - Brazil

profile Monthly Salary: Not Disclosed
Posted on: 19 hours ago
Vacancies: 1 Vacancy

Job Summary

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential Do you have the business savvy Artificial Intelligence (AI) background and sales skills necessary to help position AWS as the cloud provider of choice for customers Do you love building new strategic and data-driven businesses Do you want to join one of the fastest-growing organizations within Amazon Web Services (AWS) Join the Worldwide Specialist Organization (WWSO) Generative AI team as a Senior Business Development Specialist!

As a GTM Specialist you will be responsible for growing adoption utilization and revenue for AWS AIML services in Brazil. You will gather customer and industry needs and partner with AWS product teams to innovate develop and deliver AWS solutions. GTM Specialists are technically savvy resources responsible for identifying opportunities to innovate with customers influencing the AWS product roadmap and driving revenue for your AWS service(s). As a GTM Specialist you will be the direct business owner for geo-segments or areas and deliver exceptional customer outcomes. You will develop and influence GTM strategies and sales plays for new or existing services and drive customer and partner engagements by participating in AWS field enablement activities. You will also identify gaps in AWS products or feature sets based on customer insights and partner with internal product teams and account managers to win strategic customer workloads and drive business revenue.

AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

Diverse Experiences
AWS 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its 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 conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

About the team
The WWSO GenAI team builds and executes strategic go-to-market plans to drive revenue and market share for AWS GenAI and AI/ML services. Our team helps AWS customers adopt GenAI and AI/ML providing guidance throughout the customer adoption journey. As a GTM Specialist on GenAI you will build and drive a robust sales pipeline work with partners and key internal stakeholders to scale impact incubate new AWS GenAI/AI/ML services and scale existing AWS services represent AWS on AI at public events or blogs. This position will help LATAM AWS customers adopt Amazon AI/GenAI services and Amazon Sagemaker.
The WWSO works backwards from customers to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development specialist sales and technical solutions architecture. As part of WWSO youll provide expertise across the entire life cycle of an AWS customer initiative from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big delivering exceptional results for our customers and working across AWS as #OneTeam.

- 5 years of Go-To-Market Business Development Sales or Consulting experience
- 5 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Bachelors degree
- Experience explaining complex technical concepts to various business and technical audiences
- Experience in Business English skills both verbal and written

- Experience interpreting data and making business recommendations
- Experience identifying negotiating and executing complex legal agreements
- Speak write and read fluently in Spanish

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

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Are you a customer-obsessed builder with a passion for helping customers achieve their full potential Do you have the business savvy Artificial Intelligence (AI) background and sales skills necessary to help position AWS as the cloud provider of choice for customers Do you love building new strateg...
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Key Skills

  • Microsoft Access
  • SQL
  • Analysis Skills
  • Microsoft Powerpoint
  • Securities Law
  • Data Mining
  • Investment Banking
  • Market Research
  • Microsoft Excel
  • Visual Basic
  • Bloomberg
  • Data Analysis Skills

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