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Retail Business Services (RBS) accelerates Amazon's growth by improving customer and Selling Partner experiences, while optimizing costs across Stores WW. The tech team in RBS develops automations and intelligence that leverages GenAI/Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills.
We're seeking a Program Manager to drive GenAI automation initiatives within RBS. This role requires equal strength in product thinking and program management. You'll define roadmaps while managing delivery and launches. Partner with Engineering and Science teams to scale automation capabilities across Amazon's retail operations. You'll balance strategic product vision with execution excellence.
We believe in “Work Hard. Have Fun. Make History” value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too.
We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues.
We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution.
Work/Life Balance
RBS Tech team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth:
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications.
- Key job responsibilities
- Experience of managing complex business processes at scale.
- Product ownership: Define vision, strategy, and roadmap for products
- Drive end-to-end high impact and high visibility programs that impact WW Retail and hence customer experience on Amazon
- Communication and influencing skills with an ability to deal with a fast-paced environment.
- Experience in defining, developing and using metrics to drive the vision and manage the business.
- Analyze data and dive deep into processes to derive insights for enhancing systems
- Ability to lead not only at the strategic level, but also tactically day-to-day by diving deeply into business and technical domains.
- Liaise with tech, product, ops and category teams to ensure timely deliverables for key projects
- Ability to work effectively & independently in a fast-paced environment with tight deadlines.
- Write compelling business documents and drive outcomes for senior leadership at Amazon
About the team
Retail Business Services (RBS) accelerates Amazon's growth by improving customer and Selling Partner experiences, while optimizing costs across Stores WW. The tech team in RBS develops automations and intelligence that leverages GenAI/Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills.
Basic Qualifications
- 7+ years of working cross functionally with tech and non-tech teams experience
- 7+ years of program or project management experience
- 7+ years of delivering cross functional projects experience
- Experience defining program requirements and using data and metrics to determine improvements
Preferred Qualifications
- 4+ years of driving process improvements experience
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
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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Amazonについて

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+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0件のレポート
$187,921
年収総額
基本給
-
ストック
-
ボーナス
-
$159,732
$216,110
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
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