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Senior Product Manager, Global Store

Amazon

Senior Product Manager, Global Store

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Healthcare

401(k)

Equity

Healthcare

401k

Equity

Required Skills

Product Management

Roadmap Strategy

Feature Delivery

Technology Products

Stay local, shop global! Amazon Global Store allows customers to easily discover a wide selection of international products available from Amazon’s websites around the world, offering simplified customs, faster delivery, local language and payment support, and a world-class customer service. Global Store has presence in multiple countries and will continue to stay at the forefront of Amazon’s global expansion strategy. We are looking for an entrepreneurial, analytical, and creative product leader to drive our initiatives around improving delivery experience across stores.

In this role, you will use a combination of outstanding thought leadership, analytical skills, cross-functional partnership, business judgment, and strategic thinking to innovate on behalf of our cross-border customers. You will thrive working with cutting-edge technology and be able to build a strong understanding of cross-border shoppers and their needs to scale the product globally. You will have the opportunity to lead work-streams across CX, selection, cross-border delivery experience, Finance, Legal, Operations, SCOT, Global Logistics, Marketplace, Accounting, Tax, to name a few. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving cross-border/ cross-regional problems. You will tackle novel, challenging situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple product and technical teams at Amazon in different international locations.

Key job responsibilities
Manage product and tech roadmap for a cross border product

Work with software engineers and managers to build tools and technology for fast and free shipping experience for international customers

Work on machine learning and XB Selection systems to scale the product to multiple international destinations

Basic Qualifications

  • 5+ years of product or program management, product marketing, business development or technology experience
  • Bachelor's degree or equivalent
  • Experience with feature delivery and tradeoffs of a product
  • Experience owning/driving roadmap strategy and definition
  • Experience with end to end product delivery
  • Experience as a product manager or owner
  • Experience owning technology products

Preferred Qualifications

  • Experience in influencing senior leadership through data driven insights
  • Experience working across functional teams and senior stakeholders

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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About 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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0 reports

$187,921

total / year

Base

-

Stock

-

Bonus

-

$159,732

$216,110

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge