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トレンド企業

トレンド企業

採用

求人Google

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).

総閲覧数

1

応募クリック数

0

模擬応募者数

0

スクラップ

0

Googleについて

Google

Google

Public

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

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

3.7

25件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.4

キャリア

3.9

経営陣

2.8

68%

友人に勧める

良い点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

改善点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

給与レンジ

57,502件のデータ

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0件のレポート

$176,704

年収総額

基本給

-

ストック

-

ボーナス

-

$150,298

$203,110

面接体験

9件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense