Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 3
Go @ 3
TypeScript @ 6
Python @ 6
SQL @ 5
Java @ 6
Data Science @ 3
API @ 3
LLM @ 3
Observability @ 3
AI @ 3
Data Pipelines @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
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.
Responsibilities
- 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.
Location
This role is hybrid (4 days a week in our San Francisco 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. New hires receive a home office improvement stipend, as well as annual education and wellness stipends. The company also provides regular events and daily healthy lunches.