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트렌딩 기업

트렌딩 기업

채용

채용Google

GenAI Technical Program Manager, DeepMind

Google

GenAI Technical Program Manager, DeepMind

Google

·

On-site

·

Full-time

·

1w ago

  • Lead and drive progress across user simulators and EDU as well as other areas like agentic services to enable GenAI to increase its operating velocity.

  • Manage dependencies across workstreams, functions and organizations.

  • Drive and lead engineering teams to identify, prioritize and track tasks to completion targets. Communicate progress, risks and plans to leadership on a regular basis.

  • Leverage AI tools and build agents to identify operational and process improvements and quickly set-up lightweight processes to fill gaps.

  • Partner closely with PM and Eng leads to understand and influence product direction and ensure execution matches.

  • Bachelor's degree in a technical field or equivalent practical experience

  • 8 years of experience in technical/engineering program management

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

L9

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Intern

Director

Junior/L3 · Associate Product Manager 2 (APM2)

0개 리포트

$183,233

총 연봉

기본급

-

주식

-

보너스

-

$155,748

$210,718

면접 경험

9개 면접

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