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트렌딩 기업

트렌딩 기업

채용

채용Google

UX Research Manager, AI Mode

Google

UX Research Manager, AI Mode

Google

·

On-site

·

Full-time

·

1w ago

  • Lead and mentor a team of UX researchers, fostering their growth and development.

  • Develop and execute a comprehensive user research roadmap for our AI models, aligning with product priorities and business goals.

  • Design and oversee a wide range of research studies, including usability testing, user interviews, surveys, and contextual inquiries, to gather insights into user needs, behaviors, and pain points.

  • Evaluate the quality of AI output in relation to user instructions, and identify common failure modes or areas where the AI misunderstands user intent.

  • Define and refine the research methodologies and processes used by the team to ensure high-quality, impactful research.

  • Bachelor’s degree or equivalent practical experience.

  • 8 years of experience in an applied research setting, or similar.

  • 3 years of experience leading design projects and managing people or teams.

  • Experience in developing, launching products, technologies within Artificial Intelligence/Machine Learning (AI/ML).

총 조회수

1

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

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

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