# Software Engineer, Insights

**Company:** [Glean](https://hotfix.jobs/companies/glean)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $140k – $265k/yr
**Experience:** 5+ years
**Skills:** Go, Java, TypeScript, Python, SQL, Data Pipelines, Backend Apis, Data Warehouses, Natural Language Query, Observability
**Posted:** 2026-02-09

> Build data pipelines, backend services, and dashboards for product insights, billing, and user targeting on Glean's AI platform. Requires 5+ years experience with backend languages like Golang/Python, SQL, and analytics systems.

## Job Description

## 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.

## 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.

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