Sr. Sales Specialist, AI/ML, AGS-NAMER-US-COV-SPEC-DATA&AI-AIML/GenAI
Detroit, Michigan, USA
Full Time Senior-level / Expert USD 128K - 212K
Amazon.com
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Are you a customer-obsessed builder with a passion for helping Automotive and 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 cutting-edge 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 powerful 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 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 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
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 (gender 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.
- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
- 5+ years of business development, partner development, sales or alliances management experience
- 3+ years of AIML sales experience
- Experience proactively growing customer relationships within an account while expanding their understanding of the customer's business
- Experience identifying, developing, negotiating, and closing large-scale technology deals
- Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives
- Experience in engineering, computer science, or MIS
- AIML degree / certifications
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. This position is eligible for variable pay via a sales compensation plan. These plans pay according to achievement level against sales targets and/or business objectives. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
As a Generative AI and ML Sales Specialist, you will be at the forefront of driving adoption and revenue growth for AWS's cutting-edge 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 powerful 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 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 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
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 (gender 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.
Basic Qualifications
- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
- 5+ years of business development, partner development, sales or alliances management experience
- 3+ years of AIML sales experience
Preferred Qualifications
- Experience executing detailed go to market plans- Experience proactively growing customer relationships within an account while expanding their understanding of the customer's business
- Experience identifying, developing, negotiating, and closing large-scale technology deals
- Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives
- Experience in engineering, computer science, or MIS
- AIML degree / certifications
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. This position is eligible for variable pay via a sales compensation plan. These plans pay according to achievement level against sales targets and/or business objectives. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Tags: AWS Computer Science CX Engineering Generative AI Machine Learning
Perks/benefits: Career development Conferences Equity / stock options Flex hours Health care Startup environment Team events
Region:
North America
Country:
United States
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