Software Engineer

Posted 9 Days Ago
Mountain View, CA, USA
Hybrid
187K-234K Annually
Entry level
Artificial Intelligence • Software • Generative AI
The Role
Build scalable full-stack enterprise search and Work AI platform capabilities. Design and maintain front-end applications, REST APIs, application servers, backend systems, data pipelines, and distributed services. Develop user-facing features with TypeScript and React, server-side tooling with Node.js and Flask, and backend systems in Java and C++. Apply data analytics, visualization, and algorithm design to solve complex engineering problems and improve product decisions and system performance.
Summary Generated by Built In
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. 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. seeks Software Engineer in Mountain View, CA:

Job Duties: Develop a software-based platform that can scale indefinitely, including scalable enterprise search solutions. Build large scale fault tolerant distributed systems, preferably with knowledge of performance benchmarking tools and performance tuning on Linux based systems. Perform thorough code review 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 these features satisfy their requirements and are delivered effectively with high quality. Implement data ingestion pipelines to retrieve data from all enterprise data sources and build a secure search index over all of that data using C++/Java/Python/Go. Design and implement user interfaces used by enterprise workers to search enterprise content and design an API to build other search-based applications. Telecommuting permitted. 

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering (any), Information Technology, or closely related quantitative discipline and two (2) years of experience in job offered or two (2) years of experience in the field of software development, data science, or related occupation

Special Skills:
Machine Learning/Deep Learning
Machine Learning Operations (MLOps)
Python
PyTorch
TensorFlow
Anomaly Detection
Scikit-learn
AWS
NLP
Security and data engineering
Any suitable combination of education, training and experience is acceptable.

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.

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.


Submit a resume with references using the apply button on this posting or by email at: [email protected] at Req.# L24-158959.


#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 Required

  • Master's degree in Computer Science, Computer Engineering, Engineering, or a closely related field, or a suitable combination of education, training, and experience
  • Experience working on infrastructure for distributed systems or cloud-native applications, full-stack applications, machine learning productionization, or information retrieval systems
  • Full-stack development experience
  • TypeScript experience
  • React experience
  • Data analytics and data visualization experience
  • Node.js experience
  • Flask experience
  • Java experience
  • C++ experience
  • Algorithm design experience

Glean Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Glean and has not been reviewed or approved by Glean.

  • Healthcare Strength — Healthcare coverage includes employer-provided medical, dental, and vision across U.S. roles. Descriptions of benefits and third‑party listings characterize core health offerings as solid.
  • Equity Value & Accessibility — Equity is widely offered via stock options and highlighted as a core part of total rewards. Engineering packages are portrayed as particularly competitive when equity value is considered.
  • Leave & Time Off Breadth — Time off includes flexible PTO and a company‑wide winter break. Parental leave is described as generous in public listings, though specifics are not consistently published.

Glean Insights

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The Company
HQ: Palo Alto, CA
224 Employees
Year Founded: 2019

What We Do

Glean searches across all your company’s apps to help you find exactly what you need and discover the things you should know. 🔍 AI-powered workplace search. 💡 Personalized results and knowledge discovery. ⚡ Easy to use, ready to go— right out of the box.

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