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Glean
Glean

Enterprise AI search platform

AI Outcomes Manager - Japan

직무오퍼레이션
경력리드급
위치Japan
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Problem-Solving

Communication

AI prompting

Product sense

Stakeholder Management

About Glean:

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

About the Role:

Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise.

You will:

  • Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap

  • Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform

  • Conduct use case discovery workshops and turn those use cases into tangible outcomes

  • Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users

  • Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement

About you:

  • 3 to 5 years of professional experience

  • Fluency in English

  • Hungry, curious, and consultative mindset

  • Strong problem-solving skills with the ability to adapt to different users and scenarios

  • Proven understanding and ability to write complex prompts

  • Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions

  • Excellent communication skills to effectively interact with multiple stakeholder groups

  • Product sense and ability to drive a product’s full potential capabilities

Good to have:

  • Customer presence: ability to work with any level from individual contributors to CEOs

  • Prior experience in consultative roles, solutions engineering, support, or product management

Location:

  • This role is remote

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Glean 소개

Glean

Glean

Series B

Glean Technologies, Inc. is an American technology company specializing in enterprise-grade artificial intelligence (AI) and search capabilities.

1-50

직원 수

New York

본사 위치

$2.2B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.7

보상

3.2

문화

4.1

커리어

3.4

경영진

2.8

72%

지인 추천률

장점

Supportive team and environment

Flexible work arrangements and remote options

Good benefits and perks

단점

High workload and overwhelming expectations

Poor management and lack of clear direction

Limited career advancement opportunities

연봉 정보

45개 데이터

Senior/L5

Senior/L5 · Total Rewards Manager

1개 리포트

$276,000

총 연봉

기본급

$240,000

주식

-

보너스

-

$276,000

$276,000

면접 후기

후기 2개

난이도

3.5

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 50%

부정 50%

면접 과정

1

Application Review

2

Online Assessment

3

Technical Phone Screen

4

Final Interview

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR