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Salary: USD 187,075 - 234,000 / annual
Glean is a Work AI platform that helps enterprises work smarter with AI. The company has evolved from advanced enterprise search into a full-scale Work AI ecosystem, powering intelligent search, AI assistants, and scalable AI agents on a secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean enables organizations to govern, scale, and customize AI across their business without vendor lock-in.
As a Software Engineer, you will help build a software-based platform that scales indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.
Key responsibilities include:
- Build large-scale, fault-tolerant distributed systems with knowledge of performance benchmarking tools and performance tuning on Linux-based systems
- Perform thorough code reviews for peers, including interface design, code quality, and testing strategies
- Understand customer requirements and implement them in the solution
- Work closely with product teams to understand customer requirements and ensure features satisfy those requirements with high quality
- Implement data ingestion pipelines to retrieve data from enterprise data sources and build secure search indexes using C++, Java, Python, or Go
- Design and implement user interfaces for enterprise workers to search enterprise content, and design APIs to build other search-based applications
The role offers the opportunity to shape how the world works by building systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done and ship agentic capabilities on an open, extensible stack.
Glean has been 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. The company has 1,000+ employees across 50+ industries in more than 25 countries.
REQUIREMENTS:
- Master's degree in Computer Science, Computer Engineering, Engineering, or closely related field (or suitable combination of education, training, and experience)
- Experience working on infrastructure for distributed systems or cloud-native applications, OR building full-stack applications spanning front-end, REST APIs, and application server, OR training and productionizing machine learning or information retrieval systems
- Experience with C++
- Experience with Java
- Experience with Python
- Experience with Go
- Experience with JavaScript
- Experience with Distributed Systems
- Experience with Machine Learning
- Experience with PyTorch
- Experience with CI/CD Pipelines
- Experience with GCP
Note: As part of the interview process, you'll complete a brief AI-focused exercise or discussion to demonstrate how you think about, design, and use AI to drive impact in your role.
