Software Engineer, AI & Security
AI summary of the role
Glean is hiring a Software Engineer to build greenfield AI security and governance features for its enterprise Work AI platform.
What you’ll do
- Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond
- Provide leadership and mentor more junior engineers
- Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions
- Architect data pipelines, AI models, and REST APIs that are backed by stable, scalable server side implementations
What you’ll bring
- 5+ years of experience in product engineering
- Experience developing enterprise security products
- Experience in using AI/ML in the product
- BA/BS in computer science, or related degree
Technologies
Golang · Java · TypeScript · REST APIs · OpenAPI · SQL · NoSQL · AI/ML · data pipelines
About Glean
Work AI platform unifying enterprise search, AI assistant, and agents on a permissions-aware Knowledge Graph across 100+ SaaS connectors.
Series F
Source and classification
Internal deployment & tooling · Evidence for this classification:
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: Glean is looking for driven engineers to solve cutting edge problems in data and AI security and governance. In a rapidly growing startup, this entails empathizing with customer needs, understanding the problems and research in the domain to come up with novel solutions to challenging problems. Engineers are expected to develop ideas with product managers and designers to best balance engineering constraints with requirements, delivering intuitive experiences that enterprises can rely on to keep their users safe. You will: Oversee the entirety of your greenfield features from inception to
More from the 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 Age [... source excerpt omitted ...] the Role: Glean is looking for driven engineers to solve cutting edge problems in data and AI security and governance. In a rapidly growing startup, this entails empathizing with customer needs, understanding the problems and research in the domain to come up with novel solutions to challenging problems. Engineers are expected to develop ideas with product managers and designers to best balance engineering constraints with requirements, delivering intuitive experiences that enterprises can rely on to keep their users safe. You will: Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and ment [... source excerpt omitted ...] itect data pipelines, AI models, and REST APIs that are backed by stable, scalable server side implementations and maximize product flexibility for rapidly meeting evolving domain requirements Write robust code that’s efficient, easy to read, maintain and test About you: 5+ years of experience in product engineering Experience developing enterprise security products Experience in using AI/ML in the product BA/BS in computer science, or related degree Experience building and shipping scalable features across the frontend and backend Thrive in a customer-focused, tight-knit and cross-functional environment A proactive and positive attitude to lead, learn, troubleshoot and take
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