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If you thrive in ambiguity, build from zero to one, and reimagine systems rather than optimize them—this is your opportunity.
The Delivery Experience (DEX) team determines how customers discover and select delivery options throughout the entire shopping journey, helping customers choose how, when, and where they want their products delivered. In this role, you will lead Amazon's transformation of delivery experiences from one-size-fits-all to mission-aware personalization. You'll build an adaptive intelligence layer that understands why each delivery matters—whether it's event-driven urgency, routine replenishment, or cost-conscious consolidation—and surfaces the right options across discovery, cart, checkout, and post-purchase. Partner with P13N, Customer 360, Conversational CX (Rufus), and delivery benefits teams to integrate delivery signals throughout the customer experience, creating consistency from discovery through post-purchase.
Given the strategic importance of this space, this role requires excellent customer-driven product and business judgment, strong written and oral communication skills, the ability to operate independently, a successful track record of setting the vision for and driving cross-functional initiatives to completion, and the ability to translate customer behavior patterns into scalable personalization systems that make shopping feel effortless.
Basic Qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience technical product management
Preferred Qualifications
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 and restricted stock units (RSUs). 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, NY, New York - 197,900.00 - 267,800.00 USD annually
USA, WA, Bellevue - 179,900.00 - 243,400.00 USD annually
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模擬応募者数
0
スクラップ
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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
2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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