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Program Manager, UAE National, Amazon Global Store

Amazon

Program Manager, UAE National, Amazon Global Store

Amazon

Dubai, ARE

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Competitive salary and equity package

Team events and activities

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Learning

Equity

Healthcare

Flexible Hours

Required Skills

Python

JavaScript

TypeScript

As a Program Manager, you'll be at the forefront of transforming experiences across the Middle East and North Africa. Your strategic insights and collaborative approach will directly impact how sellers and customers interact with Amazon's ecosystem, driving innovation and operational excellence.

  • Key job responsibilities
  • Develop and Execute Product Vision: Craft comprehensive product strategies that align with customer needs and business objectives
  • Data-Driven Decision Making: Analyze complex data sets to uncover actionable insights and drive product improvements
  • Competitive Intelligence: Conduct thorough market research and competitive analysis to identify strategic opportunities
  • Customer Research: Lead initiatives to deeply understand customer preferences, pain points, and emerging expectations
  • Process Optimization: Develop comprehensive understanding of domestic and international fulfillment processes
  • Performance Management: Establish robust tracking mechanisms for pilot initiatives and seller engagement
  • Stakeholder Collaboration: Facilitate regular communication and alignment across diverse teams and geographies
    A day in the life
    Your day will be dynamic and impactful, focusing on creating seamless connections between various business units. You'll navigate complex projects, engage with cross-functional teams, and develop innovative solutions that enhance our operational capabilities. Each day presents an opportunity to solve intricate challenges and drive meaningful improvements.
    About the team
    We are a collaborative group passionate about creating seamless, intuitive customer experiences. Our team values innovative thinking, data-driven decision-making, and a commitment to continuous improvement. We believe in empowering our team members to challenge conventions and develop solutions.

Basic Qualifications

  • Bachelor's degree or equivalent
  • Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
  • 1+ years of program or project management experience

Preferred Qualifications

  • Experience in MS Access and SQL
  • Speak, write, and read fluently in Arabic
    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

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

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