refresh

지금 많이 보는 기업

지금 많이 보는 기업

Amazon
Amazon

Work hard. Have fun. Make history.

Sr. GenAI/ML Sales Specialist SOLA

직무머신러닝
경력시니어급
위치Buenos Aires, ARG
근무오피스 출근
고용정규직
게시1개월 전
지원하기

필수 스킬

AWS

Go

Machine Learning

AWS Global Sales drives cloud adoption worldwide, empowering customers of all sizes to innovate and scale. Within this organization, the AGS Specialists Team partners directly with customers to solve their most complex challenges using AWS's leading AI and machine learning services.

We're looking for a GenAI/ML Sales Specialist to join our team covering Chile, Argentina, Uruguay, and Paraguay. In this role, you'll be the go-to expert and business owner for AI/ML sales across the SOLA region — helping customers unlock the full potential of Agentic AI, Generative AI, and machine learning to drive transformative business outcomes.

This is an ideal role for someone who thrives at the intersection of cutting-edge technology and strategic sales, and who is energized by building new business in one of the fastest-growing areas in cloud computing.

Key job responsibilities
As an experienced Area Sales Specialist, you will be responsible for:

  • Drive pipeline creation, adoption, and revenue growth for AWS AI/ML services across assigned accounts and segments in the SOLA region.
  • Align with AGS SOLA Area leadership to define and execute sales plays, partner engagements, and field enablement initiatives.
  • Identify opportunities to solve customer challenges with AI/ML, translating technical capabilities into business value for senior stakeholders.
  • Surface customer insights and feature gaps to AWS product teams, helping shape the AI/ML roadmap to better serve the region.
  • Partner with Account Managers, Solution Architects, and Data Scientists to close complex, high-value opportunities.

About the team
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture:

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

Basic Qualifications

  • 7+ years of consultative sales or business development experience in enterprise technology, including 3+ years selling AI/ML or GenAI solutions with direct pipeline and quota responsibility.
  • Demonstrated track record of building executive-level relationships (VP, C-suite) and influencing cross-functional stakeholders to drive strategic outcomes.
  • Strong understanding of the AI/ML technology stack (model training, inference, data pipelines, foundation models, AI agents) and experience with cloud-based platforms.
  • Ability to communicate fluently in English and Spanish, in technical and business settings (verbal and written).
  • BA/BS degree or equivalent professional experience.

Preferred Qualifications

  • AI/ML certificates or diploma
  • Knowledge of data platform concepts, both from a business and technical angle
  • Experience of working with Technology Partners (Software Vendors, System Integrators) in the data & GenAI & AI/ML space

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

Amazon 소개

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

10개 리뷰

3.4

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.0

커리어

3.8

경영진

2.7

65%

지인 추천률

장점

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

연봉 정보

4개 데이터

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L4

0개 리포트

$181,968

총 연봉

기본급

-

주식

-

보너스

-

$154,672

$209,264

면접 후기

후기 6개

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge