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채용Glean

Tech Lead Manager - Apps and App Infrastructure

Glean

Tech Lead Manager - Apps and App Infrastructure

Glean

San Francisco Bay Area

·

On-site

·

Full-time

·

1mo ago

About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.

  • At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities
  • AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.

Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, Service Now, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.

About the Role:

As a Tech Lead Manager, you will drive the full-stack product and product infrastructure development for Glean’s Apps. As a TLM, you’ll provide expert technical direction and thoughtful coaching to a passionate team of engineers. This team will work closely with product management, design, and data science to drive Glean's Apps to the next generation of capabilities, features, performance and enterprise readiness. At the same time, these apps architect powerful, elegant abstractions that enable multiple teams working on Generative AI features to contribute safely and easily to the codebase.

You will:

  • Build a high-performing team with an inclusive and positive team culture.

  • Work hands-on in making technical changes.

  • Provide technical leadership and vision in a widely scoped engineering team.

  • Drive the development of the product and platform in a fast-paced environment.

  • Plan for headcount, iterate on interview processes, and close candidates to help grow the team.

  • Coach and mentor engineers at different levels to achieve their career goals.

About you:

  • 8+ years of engineering with 1+ years of engineering management experience.

  • Experience building delightful web products full stack from frontend, APIs, backend.

  • Proficiency in recruiting, organizing, and motivating teams

  • Passionate about helping people grow in their careers and people management.

  • An owner mindset and passionate about being in a product-focused environment where everyone cares deeply about customer impact.

  • Expertise in React, Typescript, Golang, SQL, GCP, and AWS are highly desirable.

  • Experience with or desire to learn large language models, retrieval augmented generation, and agents is beneficial.

Location:

  • This role is hybrid (4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $250,000 - $300,000 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

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

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