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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.
Job Responsibility:
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
Requirements:
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