招聘
- Engage with operations, product, tech, and program stakeholders.
- Lead the end-to-end development of new category or biller onboarding, development, testing, launch, and continuous improvement.
- Possess expertise in Generative AI and Agentic systems and concepts, with the ability to integrate these technologies into daily workflows. You will be expected to leverage this knowledge to enhance designs and improve builder productivity through AI-driven solutions.
- Develop deep expertise as a subject matter expert in specific focus areas, serving as the technical point of contact for your team.
- Demonstrate comprehensive understanding of various features and systems.
- Demonstrate strong analytical capabilities to investigate technical product and operational issues, developing straightforward yet effective solutions.
- Provide technical guidance while encouraging team members to identify and address root causes. Take ownership of documentation improvement by identifying gaps, enhancing existing materials, and creating new documentation where needed to support operational excellence.
- Design, develop, test, launch and improve self-service software products.
- Demonstrate strong leadership by guiding team members through root cause analysis and problem resolution. Act as a collaborative team player who readily steps across functional boundaries to share technical expertise, best practices, and provide valuable technical guidance to colleagues.
- Partner proactively with various Technology teams to understand their roadmap and assess its impact on workplan designs and outcomes.
- Contribute to the evolution of program technology by gaining deep insights into different implementation strategies across our proprietary tools, internal applications, and service architectures. Leverage this comprehensive understanding to implement effective bug fixes and system improvements.
Basic Qualifications
- 1+ years of software development, or 1+ years of technical support experience
- Experience troubleshooting and debugging technical systems
- Experience scripting in modern program languages
Preferred Qualifications
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
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
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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