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지금 많이 보는 기업

지금 많이 보는 기업

Google
Google

Organizing the world's information and making it universally accessible.

Senior Staff Software Engineer, Local Ads

직무엔지니어링
경력Staff+
근무오피스 출근
고용정규직
게시3주 전
지원하기
  • Identify and create proposals of large business generation opportunities within the Local Ads space.

  • Get buy-in from stakeholders both within the organization and across various partner teams by running analyses and analyzing overall feasibility.

  • Lead the design and development of Local Ads products and their respective features.

  • Design experiments in order to adapt the products and features to the needs of our advertisers and users.

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

  • 8 years of experience in software development.

  • 5 years of experience with design and architecture; and testing/launching software products.

  • Experience working with an online advertising platform or other ads products.

  • Experience in data analytics with a focus on marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, or predictive analytics.

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Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

10개 리뷰

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

지인 추천률

장점

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

단점

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

연봉 정보

57,503개 데이터

Mid/L4

Mid/L4 · Accessibility Analyst

1개 리포트

$214,500

총 연봉

기본급

$165,000

주식

-

보너스

-

$214,500

$214,500

면접 후기

후기 9개

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense