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职位Amazon

BD Mgr, Enterprise GFD, AWS GCR General Business

Amazon

BD Mgr, Enterprise GFD, AWS GCR General Business

Amazon

Shanghai, 31, CHN

·

On-site

·

Full-time

·

5d 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.

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.

This is why the Industry cluster GF team is looking for a BD Manager, Auto/Manufacturing GF who is passionate, intelligent, and dedicated to expand AWS business in China local market.

  • Key job responsibilities
  • Identify and pursue new business opportunities in the rapidly growing Manufacture/Auto market, including Physical AI, Smart device, Smart home, Smart Manufacture, Innovative research and development and other relevant sectors.
  • Build and maintain strong relationships with key stakeholders and decision-makers within target accounts.
  • Collaborate with cross-functional teams, including technical experts and product managers, to develop compelling value propositions and solutions.
  • Manage the entire sales cycle, from lead generation and qualification to contract negotiation and closing deals.
  • Consistently achieve or exceed business development targets and contribute to the company's overall growth and success in the Manufacture/Auto market.

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 Amaze Con (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

Basic Qualifications

  • 5+ years of technology-related sales, business development, or sales engineering/consulting experience
  • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
  • Experience with written and verbal communication and presentation
  • Proven track record of successful sales or winning cases in Manufacture industry, specifically with Physical AI, Smart device, Smart home, Smart Manufacture, Innovative research and development and other relevant sectors.

Preferred Qualifications

  • Experience in any Bigdata architecture, or experience with virtualization (Hypervisors, VMware, Xen) and experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • 8+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
  • Extensive knowledge and experience in the Manufacture industry, with a focus on O Physical AI, Smart device, Smart home, Smart Manufacture, Innovative research and development and other relevant sectors.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

3.4

10条评价

工作生活平衡

2.3

薪酬

4.2

企业文化

3.1

职业发展

3.8

管理层

2.7

65%

推荐给朋友

优点

Great benefits and competitive compensation

Learning opportunities and career advancement

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and high turnover

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Business Development L2

0份报告

$164,290

年薪总额

基本工资

$65,716

股票

$82,145

奖金

$16,429

$115,003

$213,577

面试经验

6次面试

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge