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:
We're seeking a software engineer to join the Insights team within the Billing and Insights charter that underpins Glean's consumption-based pricing, product analytics and user targeting. This team owns the end-to-end stack that makes our AI products explainable and measurable for customers and internal teams—from logging and usage pipelines to Insights dashboards, self-serve logs, user targeting platform and natural language query(NLQ)-powered agents on top of our data warehouse. As an SWE on this team, you'll design and build data pipelines, backend services, and customer-facing experiences that make Glean's value visible and trustworthy. You'll work closely with Product, Data Science, Finance, Marketing and Go-To-Market to ensure that every metric we show is accurate, auditable, and aligned across internal and external views.
You will:
- Design and implement reliable data pipelines and services that summarize deployment log data into daily user-, team-, department-, and agent-level metrics powering the Insights dashboards.
- Build and evolve backend APIs and services that sit between our product logs, warehouses, and the Insights UI, with a high bar for correctness, debuggability, and latency.
- Contribute to the NLQ for Insights initiative by extending the agentic loop and tool library over our Insights warehouse so moderators and admins can ask natural-language questions and get accurate, explainable answers.
- Build user targeting platform for marketing and growth campaigns.
- Improve observability, alerting, and backfill workflows for Insights jobs so metric issues are caught early and resolved safely via idempotent backfills.
- Partner with Pricing, Finance, Data, Marketing and Product to keep internal dashboards and external Insights views aligned on core definitions (e.g., active users, assistant and agent usage, utilization) and to support usage-based pricing and renewals.
About you:
- 5+ years of industry software engineering experience, including meaningful ownership of production services or analytics systems.
- Strong experience building backend services and APIs in one or more of: Golang, Java, Typescript, or Python, and comfort jumping across the stack when needed (from data pipelines to APIs to web UX).
- Proficiency in SQL and experience working with modern data warehouses or analytics stacks.
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.
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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. 
