招聘
必备技能
AWS
Customer Service
Application deadline: Mar 31, 2026
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with cutting-edge technologies and global clients
- Key job responsibilities
- Act as trusted advisor and thought leader in the development of commercial strategy and deals: partner in the execution of the deal sales cycle for strategic commercial opportunities.
- Partner closely with AWS Service teams to understand services and pricing: create frameworks that impact customer outcomes.
- Inspire and influence key internal stakeholders, experts, and other indirect resources to remove barriers and achieve desired business outcomes
- Advise and construct commercial deal terms: understand the competitive landscape and provide deal guidance
- Facilitate alignment and effective AWS communication with internal and external stakeholders to resolve conflict and encourage develop productive interactions
- Cultivate best practices through analysis and reporting in support of continuous improvements
Basic Qualifications
- Experience formulating competitive financial models (e.g., cash flow, NPV, deal comparisons, etc.) to use as comparative tools to grow opportunities
- Experience working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals from opportunity through closure
- 7+ years demonstrated success working with customers on the structuring of substantial, strategic, and complex software or cloud services/infrastructure deals (relative to industry and market size) from opportunity through closure
- 7+ years working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, and legal and internal stakeholders for sizeable commercial/enterprise deals
- 3+ years financial modeling
- Bachelor’s degree (or equivalent work experience)
Preferred Qualifications
- Advanced degree
- Understanding of the technology ecosystem
- Direct field experience in working with enterprise or commercial accounts.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually
USA, CO, Denver - 142,800.00 - 193,200.00 USD annually
USA, IL, Chicago - 142,800.00 - 193,200.00 USD annually
USA, NY, New York - 157,100.00 - 212,600.00 USD annually
USA, TX, Dallas - 142,800.00 - 193,200.00 USD annually
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
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关于Amazon

Amazon
PublicAmazon.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
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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