Sr. Worldwide Specialist - GenAI, Amazon Bedrock at Amazon Web Services, Inc.
Seattle, WA
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, GenAI 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 Generative AI specialist team as a Business Development Specialist!
The Worldwide Specialist Organization (WWSO) works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi- billion-dollar businesses. WWSO teams are made up of specialists with deep technology and industry expertise who help carry their fields into the future. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Within the Worldwide GenAI GTM team, this position is a part of the Amazon Bedrock Go-To-Market (GTM) Specialist team, where you will lead GTM strategy for Models on Bedrock, focusing on expanding model choice and access for customers. We define go-to-market (GTM) strategy for Amazon Bedrock and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities.We create sales plays, leverage partners, and build new initiatives that drive results for our customers. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customers’ goals. In emerging areas, we play a critical role as the “first in” teams to build markets for new services, domains, or solutions.
This involves activities including market sizing, working with your counterparts from across the globe to build an opportunity pipeline, working with customers to understand use cases and technical requirements, working with foundation model partners to develop joint GTM strategies, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features. As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with customers from various segments, from startups to multinational enterprises, as well was to work with partners to develop GTM and co-sell motions. You have domain expertise in generative AI and key ML powered use cases. You have the technical depth to articulate the benefits of Amazon Bedrock to data scientists and C-Level executives. In addition, you have a good understanding of the GenAI market trends, LLM providers, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, partner, and professional services) and externally with customers and model providers. You will drive the development of the GTM plan for building and scaling adoption of Amazon Bedrock, interact with customers directly to understand their business problems, and work with and model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them.
Key job responsibilities
- Lead Models on Bedrock GTM to orchestrate sales motions for sales, marketing, partner, product, training, and professional services teams to accelerate adoption of Amazon Bedrock.
- Work closely with foundation model partners to drive GTM motions
- Leverage your deep domain expertise to create best in class field enablement and sales strategy.
- Support field teams in solution building for high priority customers.
- Bring market signals back to product teams to drive innovation on AWS product roadmaps.
- Own reporting and planning cadences to AWS executives on GTM plan execution.
- Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, etc.
About the team
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.
- 5+ years of experience with machine learning, AI, or GenAI/LLM in a business development/partner capacity.
- Experience interfacing with GenAI/ML customers and partners, with deep understanding of GenAI market landscape, ecosystem, and ability to articulate technology and value proposition
- Experience driving partnerships and developing joint go-to-market strategies with AI/ML model providers
- Hands-on understanding of deep learning and other ML algorithms with hands-on experience running pilots and POCs to demonstrate capabilities to prospects
- BA/BS degree required
- Experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders.
- 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 and success in negotiating complex deals with customers and partners.
- Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.
- 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.
The Worldwide Specialist Organization (WWSO) works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi- billion-dollar businesses. WWSO teams are made up of specialists with deep technology and industry expertise who help carry their fields into the future. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Within the Worldwide GenAI GTM team, this position is a part of the Amazon Bedrock Go-To-Market (GTM) Specialist team, where you will lead GTM strategy for Models on Bedrock, focusing on expanding model choice and access for customers. We define go-to-market (GTM) strategy for Amazon Bedrock and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities.We create sales plays, leverage partners, and build new initiatives that drive results for our customers. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customers’ goals. In emerging areas, we play a critical role as the “first in” teams to build markets for new services, domains, or solutions.
This involves activities including market sizing, working with your counterparts from across the globe to build an opportunity pipeline, working with customers to understand use cases and technical requirements, working with foundation model partners to develop joint GTM strategies, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features. As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with customers from various segments, from startups to multinational enterprises, as well was to work with partners to develop GTM and co-sell motions. You have domain expertise in generative AI and key ML powered use cases. You have the technical depth to articulate the benefits of Amazon Bedrock to data scientists and C-Level executives. In addition, you have a good understanding of the GenAI market trends, LLM providers, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, partner, and professional services) and externally with customers and model providers. You will drive the development of the GTM plan for building and scaling adoption of Amazon Bedrock, interact with customers directly to understand their business problems, and work with and model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them.
Key job responsibilities
- Lead Models on Bedrock GTM to orchestrate sales motions for sales, marketing, partner, product, training, and professional services teams to accelerate adoption of Amazon Bedrock.
- Work closely with foundation model partners to drive GTM motions
- Leverage your deep domain expertise to create best in class field enablement and sales strategy.
- Support field teams in solution building for high priority customers.
- Bring market signals back to product teams to drive innovation on AWS product roadmaps.
- Own reporting and planning cadences to AWS executives on GTM plan execution.
- Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, etc.
About the team
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
- 7+ years of relevant GTM, Sales, or Consulting experience- 5+ years of experience with machine learning, AI, or GenAI/LLM in a business development/partner capacity.
- Experience interfacing with GenAI/ML customers and partners, with deep understanding of GenAI market landscape, ecosystem, and ability to articulate technology and value proposition
- Experience driving partnerships and developing joint go-to-market strategies with AI/ML model providers
- Hands-on understanding of deep learning and other ML algorithms with hands-on experience running pilots and POCs to demonstrate capabilities to prospects
- BA/BS degree required
PREFERRED QUALIFICATIONS
- Exceptional interpersonal and communication (both written and verbal) skills.- Experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders.
- 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 and success in negotiating complex deals with customers and partners.
- Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.
- 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.