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Sr. Product Manager - Tech, Cross Border and International Expansions

Amazon

Sr. Product Manager - Tech, Cross Border and International Expansions

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

2w ago

The cross-border shopping experience shall enable customers to seamlessly browse, purchase, and receive products across international regions. This role will lead influencing several core Shopping Experience teams in developing newer frameworks for Cross Border Shopping use cases.
Define Vision & Strategy: Create a multi-year roadmap for checkout simplification, reducing friction, and increasing customer confidence in emerging markets.
Technical Deep Dives: Work closely with engineering, science, and UX teams to build features based on machine learning, data science, and scalable architecture.
Experimentation & Launch: Drive A/B testing (Weblabs), analyze results, and roll out customer-delighting features.
Stakeholder Management: Influence global partner teams and communicate complex tradeoffs to senior leadership (up to 3 levels above).

Key job responsibilities
Product Strategy and Roadmap: Define the long-term vision, strategy, and roadmap for the product, aligning it with overall business goals.
Customer Obsession: Identify customer pain points through data and feedback to create innovative solutions.
Execution and Delivery: Drive the entire product lifecycle from conception to execution, including writing PR/FAQs (Press Release and Frequently Asked Questions), business requirements documents (BRDs), and functional specifications.
Cross-Functional Leadership: Partner with engineering, design, marketing, science, and retail teams to build and scale products, ensuring alignment across the organization.
Data-Driven Decision Making: Define success metrics (KPIs) and build mechanisms to measure product adoption, performance, and impact.
Influencing Stakeholders: Act as a "bar-raising" communicator who can influence senior leadership and stakeholders to drive alignment on complex initiatives.
Mentorship: Mentor junior Product Managers

Basic Qualifications

  • Bachelor's degree
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience managing technical products or online services
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred Qualifications

  • Experience in using analytical tools, such as Tableau, Qlikview, Quick Sight
  • Experience in building and driving adoption of new tools

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

$1.5T

Valuation

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

4 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 per 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