Software Engineer, Intern (Summer 2027)
Posted Updated 5
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Summary
Summer 2027 software engineering internship at Glean, the enterprise Work AI (search, assistant, agents) platform. The intern owns a scoped project end to end and ships production code, with the option to work across backend, infrastructure, security, UI/full-stack, or ML/NLP/search. Hybrid, 4 days/week in Mountain View or San Francisco; pays $57-$69/hour.
About Glean:
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 - 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:
As a Software Engineer intern, you will participate in designing, developing, and maintaining software solutions that power our products and services.
You will:
- Own a scoped, high-impact project end to end - from defining the problem and writing a design, to building, testing, launching, and measuring outcomes
- Ship production-quality code that is reliable, well-tested, and maintainable, with thoughtful code reviews and iterative feedback
- Learn quickly and contribute across the stack based on your interests - backend services, product engineering, ML/AI/search, infrastructure, security, and more
- Work closely with people both within and beyond your team while having fun along the way
About you:
- Graduating in Fall 2027 or Spring 2028 with a B.S., M.S. or Ph.D. in Computer Science or equivalent program
- A team player, a strong desire to learn, and an owner mentality
- Comfortable working in a fast paced, data-driven environment
- Interested in something in the realm of Backend, Infrastructure, Security, UI/full-stack, or ML/NLP/Search
- Prior internship experience in one or more of the areas above
- Strong foundation in CS and software development fundamentals
Location:
- This role is hybrid (4 days a week in our Mountain View or San Francisco office)
Compensation & Benefits:
The hourly pay range for this position is $57 - $69. 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 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.
#LI-HYBRID
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.
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.
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
Skills
As published by greenhouse · 7 questions · 1 written answer
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (4)
- LinkedIn Profile
- Website optional
- What is your GPA?
- Please input the total years of experience you have that are relevant for this role.
Pick from a list (2)
- Are you willing and able to commit to the hybrid policy if hired?
- How did you hear about Glean?
Written answers (1)
- What AI tools are you currently using today and how are you using them?