refresh

Trending Companies

Trending

Jobs

JobsAmazon

Sales Specialist, Gen AI/ML, SMB

Amazon

Sales Specialist, Gen AI/ML, SMB

Amazon

Chicago, IL, USA

·

On-site

·

Full-time

·

1w ago

Required Skills

AWS

Machine Learning

Are you a customer-obsessed builder with a passion for helping 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 using GenAI capabilities. 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 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 system integrators to deliver on customer projects.
  • Spearhead market expansion by pinpointing new customer segments and Geneative 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
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 run 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.

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.

About the team
Welcome! This team leads AML Sales across SMB customers. We are constantly learning, leading our customers in their AI journey, and helping some of the most innovative companies transform their business. We play a critical role in representing the "voice of the customer" to our internal stakeholders that make decisions about Service features, program development, and market segment trends.

Basic Qualifications

  • 5+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
  • Experience positioning and selling innovative solutions to new and existing customers and market segments
  • Experience building new customer relationships
  • Experience managing complex projects and/or programs within a matrix environment
  • Experience conversing with senior customer stakeholders including Directors and VPs of procurement, CPOs, VP’s supply chain, and CIOs

Preferred Qualifications

  • Experience meeting revenue targets and quotas
  • Experience driving adoption of new and disruptive technologies
  • 4+ years of business development, partner development, sales or alliances management experience
  • Ability to explain Data Science techniques, and match AWS AI capabilities to customer outcomes

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, IL, Chicago - 92,400.00 - 160,000.00 USD annually
USA, MI, Detroit - 92,400.00 - 160,000.00 USD annually
USA, TX, Austin - 92,400.00 - 160,000.00 USD annually
USA, VA, Arlington - 92,400.00 - 160,000.00 USD annually

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Amazon

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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge