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Manager, Program Management, Selling Partner Services

Amazon

Manager, Program Management, Selling Partner Services

Amazon

San Jose, CRI

·

On-site

·

Full-time

·

2w ago

Amazon is seeking a detail-oriented and data-driven Program Manager to join our team and play a critical role in driving experimentation excellence, metrics governance, and feature launch quality across our seller-facing platforms. In this role, you will ensure that our experimentation and metrics ecosystems operate at the highest bar, enabling teams to make faster, more informed decisions that directly impact the Partner experience.

You will work cross-functionally with engineering, product, data science, and business stakeholders to maintain operational rigor, improve reporting processes, and drive adoption of best practices across experimentation and metrics workflows.

Key job responsibilities

Experimentation Program Management:

  • Maintain a high standard for end-to-end experiment analysis cycle times, ensuring teams receive timely and actionable results.
  • Identify and implement process improvements to reduce bottlenecks in the experimentation lifecycle.

Metrics & Reporting:

  • Collect, track, and work toward automating key performance indicators related to experimentation and metrics platform adoption for recurring business review reporting.
  • Build and maintain dashboards and reporting mechanisms that provide leadership with clear visibility into program health and goal attainment.

Metrics Governance

  • Drive campaigns to improve the quality, accuracy, and completeness of metric definitions across the catalog to enhance AI-driven recommendations within our feature launch workflows.
  • Lead efforts to identify and deprecate unused or outdated metrics, maintaining a clean and reliable metrics ecosystem.
  • Build metrics health tracker to make sure customers and downstream services use up-to-date metrics.

Experimentation & Launch Workflow Compliance:

  • Monitor and report on experiments conducted outside of the standard feature launch workflow, identifying gaps and driving backfill efforts where appropriate.
  • Track features launched through the standard workflow that do not leverage the existing experimentation tool, and partner with teams to increase experimentation adoption and best practices.

Basic Qualifications

  • 3+ years of team management experience
  • 3+ years of program or project management experience
  • 3+ years of working cross functionally with tech and non-tech teams experience
  • 3+ years of delivering cross functional projects experience
  • Experience defining program requirements and using data and metrics to determine improvements

Preferred Qualifications

  • Experience implementing repeatable processes and driving automation or standardization
  • Experience in data mining, data management, reporting, and SQL queries

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