Software Engineer at Glean in Mountain View, CA

  • Company: Glean
  • Location: Mountain View, CA
  • Salary: $215K – $279K
  • Job type: full time
  • Workplace: hybrid
  • Posted: 2026-10-23

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Job description

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

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