Description

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.

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 is seeking a Specialist BD for AI/ML/GenAI. The Specialist BD will be responsible for defining, building and deploying effective and targeted programs to accelerate broad based sales and business development activities. The Specialist BD will be responsible for the promotion of AI/ML/GenAI products in territory, and work closely across multiple internal and external organizations – AWS Field team, Marketing, Partners, and AI communities – to promote AWS AI/ML/GenAI products for customers and partners. The Specialist BD will be directly helping customers to reinvent their own business models by harnessing the power of AWS AI/ML/GenAI solution and products, and finally deliver result.

In addition, the Specialist BD will synthesize data and information gathered from these engagements into succinct findings, derive strategic insights, and persuasively communicate findings and perspectives to product and sales teams, including senior leadership. The Specialist BD will work with business development, sales and solution architecture teams to track, prioritize and close customer engagements that would benefit from the AWS AI/ML/GenAI services, and collaborate and coordinate cross-functional teams around these engagements where appropriate.

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 products within AWS and externally.

Define, build and deploy enterprise focused sales and business development campaigns around the AWS AI/ML/GenAI offering.

-Engage, support and scale business development and sales 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 Sales, Business Development and Marketing teams.

Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products.

Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, 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

We are open to hiring candidates to work out of one of the following locations:

Beijing, CHN

Basic Qualifications

8+ years of customer-oriented experience, including enterprise sales, pre-sales, or solution architect experience.

3+ years of AI/ML/GenAI, or other related technology or product background.

Knowledge of cloud, big data, and machine learning, with technical selling experience.

Preferred Qualifications

1) Experience with artificial intelligence or machine learning product selling. 2) Knowledge of machine learning trends, typical scenarios, and common algorithms . 3) Experience with one or more general purpose programming languages - Knowledge of AI/ML/GneAI services, such as AWS, Azure, GCP, etc. 4) Solid negotiation skills, and business and financial acumen. 5) Strong analytical skills, and demonstrated ability to turn detailed data analysis into useful strategic insight in order to drive customer adoption and make appropriate recommendations to the business. 6) Experience with, and detailed knowledge of managed services market and insights related to cloud computing. 7) Demonstrated ability to work effectively across internal and external organizations is key. 8) Experience writing articles (business and technical), speaking at technology conferences, or contributing to open source.