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职位Amazon

Principal Tech Program Manager, Multilingual Search Quality

Amazon

Principal Tech Program Manager, Multilingual Search Quality

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3d ago

We are seeking an experienced candidate with a strong program management background, with a well-rounded exposure to projects involving application of machine learning and AI. You will lead the team through a quarterly planning process, improve experimentation velocity continuously, and hold all stakeholders accountable to a high throughput. You will work with partners across the search orgs, and be responsible for milestones for various high visibility projects. You will develop and own mechanisms like flashes, launch announcements and monthly business reviews to maintain collaborations with business and country teams. As part of the role, you will play a strong role during the operational planning process of the org. As a technical leader, you will influence strategy and outcomes across various search relevance initiatives.

  • Key job responsibilities
  • Carry out quarterly planning process with the scientists/SDEs on the team
  • Own plans for high visibility initiatives for improving the precision of search results, and drive towards them
  • Drive mechanisms like flashes and monthly business reviews
  • Maintain collaborations across business and country teams, driving competing priorities
  • Own experimentation velocity for the team, and find avenues for improving the overall throughput of experiments
  • Influence overall strategy to improve search relevance

About the team
The Amazon Search Relevance team creates customer focused search solutions for powering Amazon search worldwide. The Search Relevance-L0 team in the Matching relevance and Early stage ranking org owns the responsibility of improving the precision of search results in all Amazon locales worldwide (22 locales and growing!). The team is also responsible for the secondary language search in all locales worldwide (e.g., Spanish language search on amazon.com). The team owns, innovates on, and builds language models to estimate relevance of tens of thousands of products to each customer query, within a budget of few milliseconds of latency.

Basic Qualifications

  • 7+ years of technical product or program management experience
  • 10+ years of working directly with engineering teams experience
  • 5+ years of software development experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred Qualifications

  • 8+ years of hands-on work managing complex technology projects experience
  • Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules

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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关于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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0份报告

$187,921

年薪总额

基本工资

-

股票

-

奖金

-

$159,732

$216,110

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge