AI Data Analyst

About the company

Glean provides an AI-powered enterprise search and work assistant that indexes 100+ SaaS connectors, uses RAG and customizable models, enforces permissions, and enables generative assistants and multi-step automations.

About this role

<div class="content-intro"><div><span style="font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;"><strong>About Glean:</strong></span></div> <div>&nbsp;</div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div> <div>&nbsp;</div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div> <div>&nbsp;</div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div> <div>&nbsp;</div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div></div><div>&nbsp;</div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>About the Role:</strong></span></div> <div>&nbsp;</div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Glean is seeking an AI Data Analyst to help power the human evaluation system behind Glean’s AI product quality. </span><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">This role sits at the centre of response quality, competitive benchmarking, and release readiness. You will evaluate AI outputs, label and categorize failure modes, maintain high-quality benchmark data, and help ensure the datasets and evals we rely on are realistic, consistent, and tied to measurable product quality lift. </span><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">This is a highly cross-functional role. You will work closely with QA, Engineering, Product, and the evals team to convert ambiguous quality issues into structured data, actionable feedback, and repeatable quality signals.</span></div> <div>&nbsp;</div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>You will:&nbsp;</strong></span></div> <div> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Run ongoing human labeling for priority AI workflows, including response quality, task success, MCP and tool use, end-to-end Cowork-style workflows.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Triage bad-query reports, downvotes, escalations, and routed quality issues; categorize failure modes and feed clean analysis back to partner teams.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Perform qualitative analysis to identify recurring patterns such as hallucinations, retrieval failures, tool-use issues, weak grounding, and poor workflow completion.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Follow and improve labeling guidelines and rubrics so judgments are consistent, realistic, and useful for model and product improvement.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Maintain high-quality labeled datasets, golden sets, and regression slices; monitor coverage, drift, leakage, and difficulty distribution.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Participate in calibration exercises with human graders and validate LLM-as-a-judge outputs against human labels to improve consistency and judge quality.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Partner with engineers, PMs, QA, and eval owners on pre/post-change quality reads, benchmark updates, and r