Tech Lead Manager - Data Engineering

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;"><strong>About Glean:</strong></span></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p></div><p><strong>About the Role:</strong></p> <p>Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. Our data engineering group is entirely based in our Bangalore, India office. </p> <p>Glean data engineering has two mandates: </p> <p>1) our customer-facing data platform akin to a data platform software ENG team</p> <p>2) analytics engineering to enable our other internal SQL/pipeline/BI tool developers horizontally.<br><br></p> <p>In this role, you’ll serve as a tech lead manager for Glean’s one and only data engineering team:</p> <ul> <li>~25% of your time will go into supporting senior-level data engineers to help grow them from a technical career perspective.</li> <li>~75% of your time will go into hands on work in the following areas: </li> </ul> <p>Glean employee-facing analytics initiatives:</p> <ul> <li>Help improve the availability of high-value upstream data data in 3rd party apps by </li> <ul> <li>channeling inputs from business intelligence to identify biggest gaps in data foundations</li> <li>partnering with Go-to-Market Finance operations groups to create streamlined data management processes in enterprise apps like Salesforce, Marketo and various accounting software</li> </ul> <li>Architect and implement key tables that transform structured and unstructured data into usable models by the data, operations, and engineering orgs for applications like session replays, A/B experimentation.</li> <li>Ensure and maintain the quality and availability of internally used tables within reasonable SLAs</li> <li>Own and improve the reliability, efficiency and scalability of ETL tooling, including but not limited to dbt, BigQuery ... (truncated, view full listing at source)