Software Engineer

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.

About the Role

Glean Technologies, Inc. has multiple positions available for a Software Engineer. As a Software Engineer, you will help build a software-based platform that can scale 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.

What You Will Do

• Build large-scale, fault-tolerant distributed systems, preferably 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 our solution.
• Work closely with the company's product teams to understand customer requirements and ensure features satisfy those requirements and are delivered effectively and with high quality.
• Implement data ingestion pipelines to retrieve data from enterprise data sources and build a secure search index over that data using C++, Java, Python, or Go.
• Design and implement user interfaces that enterprise workers use to search enterprise content, and design an API to build other search-based applications.

Who You Are

• You have a Master's degree in Computer Science, Computer Engineering, Engineering, or a closely related field. Any suitable combination of education, training and experience is acceptable.
• You have experience working on infrastructure for distributed systems or cloud-native applications, or experience building full-stack applications that span front-end, REST APIs, and application server, or experience training and productionizing machine learning, or information retrieval systems.
• You have experience with C++.
• You have experience with Java.
• You have experience with Python.
• You have experience with Go.
• You have experience with JavaScript.
• You have experience with Distributed Systems.
• You have experience with Machine Learning.
• You have experience with PyTorch.
• You have experience with CI/CD Pipelines.
• You have experience with GCP.

Compensation & Benefits

The standard base salary range for this position is $187,075 - $234,000 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.

How to Apply

Submit a resume with references using the apply button on this posting or by email at [email protected] at Req.# L25-163426.

AI-First Mindset at Glean

At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.