Amazon
AI/ML/GenAI Specialist BD, GCR SSO GenAI team, GCR SSO GenAI team
CN, 44, Shenzhen•
64 days ago
About Amazon Web Services Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with announced plans for 18 more Availability Zones and 6 more AWS Regions in Malaysia, Mexico, New Zealand, the Kingdom of Saudi Arabia, Thailand. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
[AWS China Introduction] Amazon Web Services came to China in 2013, and has been relentlessly investing and expanding our infrastructure and business since then. Amazon Web Services launched its China (Beijing) Region (operated by Sinnet) in September 2016 and its China (Ningxia) Region (operated by NWCD) in December 2017. In 2019, Amazon Web Services added a new region in Hong Kong, making China the only country with three Amazon Web Services regions aside from the U.S. In 2022, Amazon Web Services launched Local Zone in Taipei. Amazon Web Services has also established an AI lab in Shanghai and two IoT labs in Shenzhen and Taipei. The Amazon Web Services Partner Network has thousands of Partners in China. Amazon Web Services has supported over 10,000 local startups and has provided cloud skills training to over 700,000 talents. Amazon’s first two utility-scale renewable projects—a solar farm and a wind farm—are also generating clean energy to the country’s grid.
AWS customers are looking for ways to transform their businesses and solve their own complex business challenges with machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with powerful, end-to-end machine learning platforms such as Amazon SageMaker.
Are you passionate about Machine Learning, Deep Learning, and scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)?
AWS is seeking a Business Development Specialist for GenAI. The SS will customer facing and will facilitate the enablement of business development, solution architects with specific customer centric value proposition about ML. The SS will work closely across multiple internal and external organizations – AWS Business Development, Marketing, Partners, and AI communities – to position the AWS GenAI for customers and partners, and provide guidance on the value proposition and benefit those customers and partners. The SS will be directly helping our customers to reinvent their own business models by harnessing the power of AWS machine learning technologies; driving specific adoption and deals with key customers.
In addition, the SS will synthesize data and information gathered from these engagements into succinct findings, derive strategic insights, and persuasively communicate findings and perspectives to product and bd teams, including senior leadership. The SS will work with business development and solution architecture teams to track, prioritize and close customer engagements that would benefit from the AWS GenAI, and collaborate and coordinate cross-functional teams around these engagements where appropriate.
The ideal candidate will possess a Technology and Business background. The candidate will have the technical depth and business experience to easily communicate the benefits of machine learning platforms and frameworks in the AWS cloud to IT architects, engineering teams, and C-Level executives. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex global businesses. The ideal candidate will also be deeply familiar with complex legacy IT environments, managed enterprise IT infrastructure services, Enterprise applications, and would have done market analysis, deal negotiation and construction, business operations; and have a background that enables them to create scalable programs that apply holistic approaches to selling to customers and partners across different market segments.
Key job responsibilities
Engage in senior level customer meetings to drive AWS AI/ML/GenAI adoption. Diving into customer’s business challenges and executing strategies on how the AWS AI/ML/GenAI services can help address and resolve these challenges. Serve as an evangelist for the AWS AI/ML/GenAI within AWS and externally.
Define, build and deploy enterprise focused business development campaigns around the AWS AI/ML/GenAI offering. Engage, support and scale business development teams across AWS to be capable of delivering the AWS AI/ML/GenAI value proposition to customers and partners.
Develop a standard market intelligence framework and dynamic analytic model to be utilized by the AWS Business Development and Marketing teams.
Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI.
Establish mechanisms to measure and track metrics related to adoption of the AWS machine learning, and execute improvements to the approach based on those measurements. Prepare and deliver business reviews to the senior management regarding the AWS AI/ML/GenAI business.
About the team
Diverse Experiences
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.
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.
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 & 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.
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 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.
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team.
#AWSGCR
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
[AWS China Introduction] Amazon Web Services came to China in 2013, and has been relentlessly investing and expanding our infrastructure and business since then. Amazon Web Services launched its China (Beijing) Region (operated by Sinnet) in September 2016 and its China (Ningxia) Region (operated by NWCD) in December 2017. In 2019, Amazon Web Services added a new region in Hong Kong, making China the only country with three Amazon Web Services regions aside from the U.S. In 2022, Amazon Web Services launched Local Zone in Taipei. Amazon Web Services has also established an AI lab in Shanghai and two IoT labs in Shenzhen and Taipei. The Amazon Web Services Partner Network has thousands of Partners in China. Amazon Web Services has supported over 10,000 local startups and has provided cloud skills training to over 700,000 talents. Amazon’s first two utility-scale renewable projects—a solar farm and a wind farm—are also generating clean energy to the country’s grid.
AWS customers are looking for ways to transform their businesses and solve their own complex business challenges with machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with powerful, end-to-end machine learning platforms such as Amazon SageMaker.
Are you passionate about Machine Learning, Deep Learning, and scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)?
AWS is seeking a Business Development Specialist for GenAI. The SS will customer facing and will facilitate the enablement of business development, solution architects with specific customer centric value proposition about ML. The SS will work closely across multiple internal and external organizations – AWS Business Development, Marketing, Partners, and AI communities – to position the AWS GenAI for customers and partners, and provide guidance on the value proposition and benefit those customers and partners. The SS will be directly helping our customers to reinvent their own business models by harnessing the power of AWS machine learning technologies; driving specific adoption and deals with key customers.
In addition, the SS will synthesize data and information gathered from these engagements into succinct findings, derive strategic insights, and persuasively communicate findings and perspectives to product and bd teams, including senior leadership. The SS will work with business development and solution architecture teams to track, prioritize and close customer engagements that would benefit from the AWS GenAI, and collaborate and coordinate cross-functional teams around these engagements where appropriate.
The ideal candidate will possess a Technology and Business background. The candidate will have the technical depth and business experience to easily communicate the benefits of machine learning platforms and frameworks in the AWS cloud to IT architects, engineering teams, and C-Level executives. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex global businesses. The ideal candidate will also be deeply familiar with complex legacy IT environments, managed enterprise IT infrastructure services, Enterprise applications, and would have done market analysis, deal negotiation and construction, business operations; and have a background that enables them to create scalable programs that apply holistic approaches to selling to customers and partners across different market segments.
Key job responsibilities
Engage in senior level customer meetings to drive AWS AI/ML/GenAI adoption. Diving into customer’s business challenges and executing strategies on how the AWS AI/ML/GenAI services can help address and resolve these challenges. Serve as an evangelist for the AWS AI/ML/GenAI within AWS and externally.
Define, build and deploy enterprise focused business development campaigns around the AWS AI/ML/GenAI offering. Engage, support and scale business development teams across AWS to be capable of delivering the AWS AI/ML/GenAI value proposition to customers and partners.
Develop a standard market intelligence framework and dynamic analytic model to be utilized by the AWS Business Development and Marketing teams.
Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI.
Establish mechanisms to measure and track metrics related to adoption of the AWS machine learning, and execute improvements to the approach based on those measurements. Prepare and deliver business reviews to the senior management regarding the AWS AI/ML/GenAI business.
About the team
Diverse Experiences
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.
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.
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 & 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.
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 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.
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team.
#AWSGCR