채용
복지 및 혜택
•Healthcare
•401(k)
•Equity
•Home Office
•Learning
•Meals
필수 스킬
Go
Java
TypeScript
Python
SQL
Data Warehouses
Analytics
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: We're seeking a software engineer to join the Insights team within the Billing and Insights charter that underpins Glean's consumption-based pricing, product analytics and user targeting. This team owns the end-to-end stack that makes our AI products explainable and measurable for customers and internal teams—from logging and usage pipelines to Insights dashboards, self-serve logs, user targeting platform and natural language query(NLQ)-powered agents on top of our data warehouse.
As an SWE on this team, you'll design and build data pipelines, backend services, and customer-facing experiences that make Glean's value visible and trustworthy. You'll work closely with Product, Data Science, Finance, Marketing and Go-To-Market to ensure that every metric we show is accurate, auditable, and aligned across internal and external views.
You will:
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Design and implement reliable data pipelines and services that summarize deployment log data into daily user-, team-, department-, and agent-level metrics powering the Insights dashboards.
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Build and evolve backend APIs and services that sit between our product logs, warehouses, and the Insights UI, with a high bar for correctness, debuggability, and latency.
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Contribute to the NLQ for Insights initiative by extending the agentic loop and tool library over our Insights warehouse so moderators and admins can ask natural-language questions and get accurate, explainable answers.
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Build user targeting platform for marketing and growth campaigns.
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Improve observability, alerting, and backfill workflows for Insights jobs so metric issues are caught early and resolved safely via idempotent backfills.
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Partner with Pricing, Finance, Data, Marketing and Product to keep internal dashboards and external Insights views aligned on core definitions (e.g., active users, assistant and agent usage, utilization) and to support usage-based pricing and renewals.
About you:
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5+ years of industry software engineering experience, including meaningful ownership of production services or analytics systems.
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Strong experience building backend services and APIs in one or more of: Golang, Java, Typescript, or Python, and comfort jumping across the stack when needed (from data pipelines to APIs to web UX).
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Proficiency in SQL and experience working with modern data warehouses or analytics stacks.
Location:
- This role is hybrid (4 days a week in our San Francisco office).
Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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Glean 소개

Glean
Series BGlean 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
3.5
1개 리뷰
워라밸
4.0
보상
3.0
문화
4.0
커리어
3.8
경영진
3.5
65%
친구에게 추천
장점
Flexibility and choice in team placement
AI-focused work opportunities
Better work culture
단점
Lower compensation (~$8k difference)
Potential data sharing regulation issues
Regulatory compliance concerns
연봉 정보
47개 데이터
Junior/L3
Junior/L3 · Solution Architect
0개 리포트
$62,409
총 연봉
기본급
-
주식
-
보너스
-
$53,048
$71,770
면접 경험
2개 면접
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
뉴스 & 버즈
Bright Uro Expands Early Clinical Adoption of Glean Urodynamics System Across Key U.S. Networks - TipRanks
TipRanks
News
·
3d ago
Glean interview
Does anyone have experience at Glean and/or their interview process? This sub seems to have neutral to negative feelings towards glean but nothing that recent. Would love to hear it all - good, bad, ugly, or run? TIA
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4d ago
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1
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4
Glean Gains Fourth Consecutive Inclusion on Forbes AI 50 List - TipRanks
TipRanks
News
·
4d ago
Glean Receives Fourth Consecutive Recognition on Forbes AI 50 List - TipRanks
TipRanks
News
·
5d ago