Software Engineer

About Glean:

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be 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

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

Design, develop, and maintain full-stack applications spanning front-end interfaces, REST APIs, and application servers.

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 with Machine Learning/Deep Learning.

You have experience with Machine Learning Operations (MLOps).

You have experience with Python.

You have experience with PyTorch.

You have experience with TensorFlow.

You have experience with Anomaly Detection.

You have experience with Scikit-learn.

You have experience with AWS.

You have experience with NLP.

You have experience with Security and data engineering.

Location: Mountain View, CA. Telecommuting is an option.

Compensation & Benefits

The standard base salary range for this position is $215,000 - $278,900 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.

Submit a resume with references using the apply button on this posting or by email at:
jobs@glean.com at Req.# L24-158959.

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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.

Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.