Sr WW Specialist (ML- Sagemaker Inference), ML Services at Amazon Web Services, Inc.
New York, NY 10007
About the Job
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Machine Learning 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? Join the Worldwide Specialist Organization (WWSO) Machine Learning team as a Business Development Specialist!
Key job responsibilities
Be the outward face of AWS generative AI and machine learning by defining and executing go-to-market activities for Amazon SageMaker. You will be working hand-in-hand with AWS generative AI and machine learning Solution Architects, Product Managers and Marketing Managers to run world-wide sales plays and campaigns that target specific customer cohorts and drive specific use-cases and service capabilities. You will be engaging directly with customers’ business stakeholders on a daily basis to understand their needs in generative AI and machine learning and help them adopt the right Service capabilities. Your work will define and drive the process that regional AI/ML presales and account teams will follow to accelerate sales and partner engagements of the AWS ML Services portfolio and you will synthesize data and information gathered from these customers and partners into your GTM strategy to successfully scale service adoption. This entails garnering impactful customer and market insights, developing messaging and solution strategies, communicating those findings to product and sales teams, including senior management. This also involves educating and enabling regional AI/ML presales and AWS account teams to drive effective sales plays and campaigns to accelerate worldwide adoption of AWS ML Services.
About the team
As part of the Worldwide Specialist Team, you will lead the global GTM plan for [specific AWS Service, Industry, Customer Type, or Geographic Area]. You are a leader for specialists, architects, partners, and account teams around the world and set direction and standards for how we solve customer problems in your area of expertise. You partner with technical and business teams and bring the voice of the customer into our product development roadmap. The WW team sees the big picture and sets the plan so the world’s most customer obsessed technical teams can make history.
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.
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.
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.
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.
AWS values diverse experiences. Even if you do not meet all of the 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.
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience identifying, negotiating, and executing complex legal agreements
- • Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders
- • Experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders. ·
- • Deep understanding of cloud technologies, including public and hybrid cloud platforms.
- • Technical background in engineering, computer science, or MIS a plus.
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 $133,200/year in our lowest geographic market up to $220,200/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. 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.
Key job responsibilities
Be the outward face of AWS generative AI and machine learning by defining and executing go-to-market activities for Amazon SageMaker. You will be working hand-in-hand with AWS generative AI and machine learning Solution Architects, Product Managers and Marketing Managers to run world-wide sales plays and campaigns that target specific customer cohorts and drive specific use-cases and service capabilities. You will be engaging directly with customers’ business stakeholders on a daily basis to understand their needs in generative AI and machine learning and help them adopt the right Service capabilities. Your work will define and drive the process that regional AI/ML presales and account teams will follow to accelerate sales and partner engagements of the AWS ML Services portfolio and you will synthesize data and information gathered from these customers and partners into your GTM strategy to successfully scale service adoption. This entails garnering impactful customer and market insights, developing messaging and solution strategies, communicating those findings to product and sales teams, including senior management. This also involves educating and enabling regional AI/ML presales and AWS account teams to drive effective sales plays and campaigns to accelerate worldwide adoption of AWS ML Services.
About the team
As part of the Worldwide Specialist Team, you will lead the global GTM plan for [specific AWS Service, Industry, Customer Type, or Geographic Area]. You are a leader for specialists, architects, partners, and account teams around the world and set direction and standards for how we solve customer problems in your area of expertise. You partner with technical and business teams and bring the voice of the customer into our product development roadmap. The WW team sees the big picture and sets the plan so the world’s most customer obsessed technical teams can make history.
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.
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.
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.
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.
AWS values diverse experiences. Even if you do not meet all of the 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.
BASIC QUALIFICATIONS
- 6+ years of developing, negotiating and executing business agreements experience- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
PREFERRED QUALIFICATIONS
- Experience interpreting data and making business recommendations- Experience identifying, negotiating, and executing complex legal agreements
- • Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders
- • Experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders. ·
- • Deep understanding of cloud technologies, including public and hybrid cloud platforms.
- • Technical background in engineering, computer science, or MIS a plus.
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 $133,200/year in our lowest geographic market up to $220,200/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. 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.
