Jobs
Benefits and perks
•Healthcare
•401(k)
•Equity
•Home Office
•Learning
•Meals
Required skills
Java
Go
Python
Bazel
CI/CD
GitHub Actions
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 are looking for a Software Engineer, Developer Productivity to shape the way our engineers build, test, and ship software. Our codebase is large and multi-language, powered by Bazel, with pipelines running on GitHub Actions and cloud remote execution.
In this role, you will design and optimize build systems, CI/CD pipelines, and developer tooling, while also enabling engineers to effectively leverage AI-powered coding and productivity tools. Your work will reduce friction in everyday workflows, scale our infrastructure, and help the entire engineering team move faster with confidence.
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You will: Build Systems & Tooling
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Develop and maintain our Bazel monorepo with support for multiple languages.
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Improve build hermeticity, caching, reproducibility, and dependency management.
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Extend Bazel with custom rules, macros, and integrations.
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CI/CD Engineering
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Operate and optimize pipelines on GitHub Actions, Kubernetes, and cloud runners.
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Reduce CI latency through remote execution, caching, and parallelization.
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Instrument pipelines with telemetry and dashboards to measure speed, reliability, and cost.
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Developer Enablement
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Build tools and workflows (CLI utilities, IDE plugins, GitHub bots) that improve day-to-day developer experience.
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Automate debugging of flaky tests and CI failures.
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Simplify onboarding and local dev environments.
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AI Adoption & Productivity
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Enable engineers to integrate AI-powered coding assistants (e.g. GitHub Copilot, Cursor, Claude) into daily workflows.
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Build agentic tooling that automates CI failure analysis, PR triage, and code review support.
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Collect usage insights, build dashboards, and iterate on adoption strategies to maximize developer ROI from AI.
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Additionally
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You’ll work on critical build and CI/CD systems that touch every engineer’s workflow.
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You’ll have a direct impact on the speed, reliability, and cost of software delivery.
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You’ll be at the frontier of AI adoption in engineering teams, shaping how humans and AI collaborate in development.
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You’ll have opportunities to contribute to open source (Bazel, rules projects, CI tooling) and share learnings at conferences
About you:
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Strong software engineering background (Java, Go, Python, or similar).
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Experience with build systems (Bazel strongly preferred; Buck, Blaze, Gradle, or Maven acceptable).
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Hands-on with CI/CD systems (GitHub Actions, Buildkite, Jenkins, etc.).
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Familiarity with Docker/Kubernetes, cloud runners, and distributed build/test environments.
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Experience integrating or enabling AI developer tools is a plus.
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Strong debugging skills and an interest in solving workflow bottlenecks.
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Passion for multiplying the effectiveness of other engineers.
Location:
- This role is hybrid (3-4 days a week in one of our SF Bay Area offices)
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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About Glean

Glean
Series BGlean 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
3.5
1 reviews
Work-life balance
4.0
Compensation
3.0
Culture
4.0
Career
3.8
Management
3.5
65%
Recommend to a friend
Pros
Flexibility and choice in team placement
AI-focused work opportunities
Better work culture
Cons
Lower compensation (~$8k difference)
Potential data sharing regulation issues
Regulatory compliance concerns
Salary Ranges
47 data points
Junior/L3
Junior/L3 · Solution Architect
0 reports
$62,409
total per year
Base
-
Stock
-
Bonus
-
$53,048
$71,770
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
News & Buzz
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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4
Glean Gains Fourth Consecutive Inclusion on Forbes AI 50 List - TipRanks
TipRanks
News
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4d ago
Glean Receives Fourth Consecutive Recognition on Forbes AI 50 List - TipRanks
TipRanks
News
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4d ago