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Principal Sales Specialist, GenAI/ML

Amazon

Principal Sales Specialist, GenAI/ML

Amazon

Jersey City, NJ, USA

·

On-site

·

Full-time

·

1w ago

Required Skills

AWS

Machine Learning

Are you a customer-obsessed builder with a passion for driving Generative AI and Machine Learning innovation and business impact for ISV customers? Do you love building new strategic and data-driven businesses? Do you want to join one of the fastest-growing organizations within AWS? Join our team as an AWS Generative AI Specialist Seller and unleash the power of Generative AI/ Machine Learning to transform industries and empower customers to achieve their full potential.

As a Generative AI Sales Specialist, you will be at the forefront of driving adoption and revenue growth for AWS's Generative AI 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 solutions. You will leverage your consultative expertise to become a trusted advisor, guiding customers in embedding and deploying AWS Generative AI solutions to unlock new value streams and solve key business problems using AI 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 develop account plans 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 services and relevant cross-functional areas to build strong relationships with customers. By driving the adoption of Generative AI 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’ Gen AI strategy and the services we offer to accelerate these workloads. You conduct compelling executive conversations on the transformational possibilities of Generative AI and Data, 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 use cases and technical solutions at a 200-level. You will partner with technical resources who help address the “how” and proposed future-state architecture.

  • Key job responsibilities
  • Accelerate customer adoption by defining and implementing technical domain specific sales 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 sales 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 Gen AI use cases
  • Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition
  • Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience
  • Drives 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 Gen AI 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 are in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1".

About the team
At AWS, we celebrate diversity and foster an inclusive culture where diverse perspectives, backgrounds, and experiences are valued and embraced. We believe that by bringing together talented individuals, we can drive innovation, challenge conventional thinking, and develop solutions that cater to the diverse needs of our global customer base.

Basic Qualifications

  • Experience conveying complex technical concepts to both technical and business audiences
  • Experience communicating results to senior leadership, or experience building and managing financial models for business forecasting and problem solving
  • 10+ years of developing, negotiating and executing business agreements experience
  • Experience with C-level sales and strategic partnership building
  • 10+ years of full sales cycle, technology sales or equivalent business development, sales engineering/consulting or equivalent experience

Preferred Qualifications

  • Experience working with technology customers, such as software providers

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, GA, Atlanta - 170,000.00 - 230,000.00 USD annually
USA, MA, Boston - 170,000.00 - 230,000.00 USD annually
USA, NJ, Jersey City - 187,000.00 - 252,900.00 USD annually

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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