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Glean
Glean

Enterprise AI search platform

AI Outcomes Manager - Japan

RoleOperations
LevelLead
LocationJapan
WorkOn-site
TypeFull-time
Posted2 months ago
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Required skills

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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About Glean

Glean

Glean

Series B

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

1-50

Employees

New York

Headquarters

$2.2B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

3.7

Compensation

3.2

Culture

4.1

Career

3.4

Management

2.8

72%

Recommend to a friend

Pros

Supportive team and environment

Flexible work arrangements and remote options

Good benefits and perks

Cons

High workload and overwhelming expectations

Poor management and lack of clear direction

Limited career advancement opportunities

Salary Ranges

45 data points

Senior/L5

Senior/L5 · Total Rewards Manager

1 reports

$276,000

total per year

Base

$240,000

Stock

-

Bonus

-

$276,000

$276,000

Interview experience

2 interviews

Difficulty

3.5

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview process

1

Application Review

2

Online Assessment

3

Technical Phone Screen

4

Final Interview

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR