Software Engineer

Glean

Mountain View (CA)

Hybrid

USD 187,000 - 234,000

Full time

29 hours ago
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Benefits offered by this job

Medical Insurance
Vision & Dental
Home office stipend
Education stipend
Wellness stipend
401k

Job summary

Glean is hiring a Software Engineer to help build a scalable platform with distributed systems, data pipelines, APIs, and enterprise search interfaces. You will work across Linux-based environments and cloud-native technologies to deliver secure, high-quality products for diverse enterprise customers.

You will contribute to performance optimization, code reviews, and data ingestion, while implementing user interfaces and APIs to support search-based applications in a highly collaborative

Qualifications

  • Master's degree or higher in CS/CE/Engineering or closely related field.
  • Experience building infrastructure for distributed systems or cloud-native apps, or full-stack apps spanning front-end, REST APIs, and app servers.
  • Proficiency in C++, Java, Python, and Go.

Responsibilities

  • Build large-scale, fault-tolerant distributed systems with performance benchmarking and tuning for Linux.
  • Perform thorough code reviews focusing on interfaces, quality, and tests.
  • Translate customer requirements into scalable features and robust implementations.
  • Collaborate with product teams to ensure features meet customer needs and are delivered with high quality.
  • Implement data ingestion pipelines and build a secure search index over data using C++, Java, Python or Go.
  • Design UI components for enterprise search and expose an API for building search-based apps.

Skills

C++
Java
Python
Go
Distributed Systems
Machine Learning
PyTorch
CI/CD Pipelines
GCP

Education

Master's degree in Computer Science or related field

Tools

Linux
REST APIs
Git

Job description

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, 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

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 andexperience 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 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.

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

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.

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.

Global Data Privacy Notice for Job Candidates and Applicants:

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 .

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