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 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 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 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 ownership of both small tasks and large features A user-centric and empathetic mentality for product development Love authoring easy-to-hold and future-proof REST APIs, OpenAPI is a plus Experience building distributed CRUD level functionality, ideally both SQL and NoSQL Comfortable with or desire to master Golang, Java and TypeScript Comfortable with effective use of AI tools for development Location: This role is hybrid (4 days a week in our Mountain View office) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 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. #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.

Requirements

Must-haves

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 and maximize product flexibility for rapidly meeting evolving domain requirements
Write robust code that’s efficient, easy to read, maintain and test
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 ownership of both small tasks and large features
A user-centric and empathetic mentality for product development
Experience building distributed CRUD level functionality, ideally both SQL and NoSQL
Comfortable with or desire to master Golang, Java and TypeScript
Comfortable with effective use of AI tools for development
This role is hybrid (4 days a week in our Mountain View office)
Global Data Privacy Notice for Job Candidates and Applicants:
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.

Nice-to-haves

Love authoring easy-to-hold and future-proof REST APIs, OpenAPI is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmrestmlsqlgolangjavatypescript

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Wellness