採用
福利厚生
•Healthcare
•401(k)
•Equity
•Home Office
•Learning
•Meals
必須スキル
Technical Program Management
B2B SaaS
Distributed Systems
Data Pipelines
API Integration
System Design
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 Connector TPM to build the "pipes" that feed the Glean Enterprise graph. This requires balancing the high-level product vision with the deep technical constraints of distributed crawling, rate-limiting, and data security.
You will:
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Own multi‑quarter programs across our highest‑impact connectors (Microsoft 365, Google Workspace, Slack, Atlassian, Salesforce, GitHub, etc.) and the platform capabilities that power all connectors.
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Work closely with tech leads and architects on system design, scalability, and reliability of our connectors stack.
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Design the operating model and technical roadmap that allows us to scale from dozens to hundreds of high‑quality connectors without linear increases in operational burden.
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Technical Leadership: Lead design reviews to balance immediate customer needs with long-term platform scalability.
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Operational Excellence: Drive connector reliability by setting strict SLOs for data freshness and error rates. Build the telemetry and root-cause culture needed to shift from reactive fixes to proactive, high-uptime operations.
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Lifecycle Management: Manage the full connector lifecycle from intake and compliance to GTM launch.
About you:
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5+ years in TPM, PM, or Engineering, with 3+ years leading complex B2B SaaS or cloud infrastructure programs.
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Deep experience in large-scale distributed data pipelines and enterprise identity/security constraints.
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Experience with AI/ML, data pipelines, and API integrations.
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Proven ability to turn ambiguous problems into clear roadmaps, influence architectural designs with staff engineers, and lead rigorous operating rhythms like design reviews and post-mortems.
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Excellent written and verbal communication: able to write crisp technical program docs and status updates, and comfortable presenting trade‑offs and recommendations to engineering and product leadership.
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A builder mindset and high ownership: willing to get into logs, dashboards, and traces; comfortable defining new processes and iterating quickly based on what you learn in production.
Nice to have:
- First hand experience building MCP Servers across various SaaS Services.
Location:
- This role is a hybrid (4 days a week in our Palo Alto office)
Compensation & Benefits:
The standard base salary range for this position is $198,000 - $235,500 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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0
応募クリック数
0
模擬応募者数
0
スクラップ
0
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Gleanについて

Glean
Series BGlean Technologies, Inc. is an American technology company specializing in enterprise-grade artificial intelligence (AI) and search capabilities.
1-50
従業員数
New York
本社所在地
$2.2B
企業価値
レビュー
3.5
1件のレビュー
ワークライフバランス
4.0
報酬
3.0
企業文化
4.0
キャリア
3.8
経営陣
3.5
65%
友人に勧める
良い点
Flexibility and choice in team placement
AI-focused work opportunities
Better work culture
改善点
Lower compensation (~$8k difference)
Potential data sharing regulation issues
Regulatory compliance concerns
給与レンジ
47件のデータ
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Product Manager
0件のレポート
$340,000
年収総額
基本給
$190,000
ストック
$150,000
ボーナス
-
$289,000
$391,000
面接体験
2件の面接
難易度
3.5
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 50%
ネガティブ 50%
面接プロセス
1
Application Review
2
Online Assessment
3
Technical Phone Screen
4
Final Interview
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
ニュース&話題
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