Tech Lead Manager, Admin Console

Details

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.

Responsibilities

• Lead and grow the Admin Console engineering team, providing both people leadership and strong technical direction.
• Own architecture and execution for core admin-facing workflows including data source setup, security configuration, deployment management, and feature rollout controls.
• Partner closely with Product and Design to simplify complex enterprise workflows and make the admin experience more intuitive and scalable.
• Evolve the Admin Console from a system centered on crawlers and data setup into a broader control plane for enterprise context, actions, governance, and AI capability management.
• Improve self-serve activation so admins can get their organizations up and running faster, with less dependency on human support.
• Improve visibility into crawl health, connector status, indexing progress, permissions, and rollout readiness so admins can confidently understand what is happening in their deployment.
• Build systems and workflows that help admins safely scale Glean across users, teams, and capabilities over time through a coherent interface.
• Collaborate deeply with backend, connector, infra, and security teams to deliver unified admin experiences that sit on top of platform and infrastructure layers.

Requirements

• 8+ years of software engineering experience building production distributed systems or cloud-native applications.
• 1+ years of engineering management experience of a full stack team.
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, C++, Javascript.
• Product-minded: prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership-driven with a positive, proactive attitude; comfortable leading projects or learning from battle-tested engineers.
• Experience building enterprise SaaS, enterprise platform, admin console, or similarly configurable product experiences.
• Experience working on products where usability, governance, permissions, and technical complexity all matter.
• Experience mentoring engineers with different technical strengths, including frontend and backend team members.
• Ability to operate in ambiguity and shape roadmap, architecture, and team execution in a fast-moving environment.
• Strong cross-functional collaboration skills and comfort partnering with product, design, security, and platform teams.

Location

This role is hybrid (4 days a week in our Mountain View or San Francisco office).

Compensation & Benefits

The standard base salary range for this position is $250,000 - $300,000 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 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, and annual education and wellness stipends. The company provides regular events and daily healthy lunches.

AI-First Mindset at Glean

AI fluency is core to how Glean works. As part of the interview process, candidates complete a brief AI-focused exercise or discussion to demonstrate how they think about, design, and use AI to drive impact in the role.

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, GDPR, CCPA, or other privacy laws may regulate how candidate data is managed. The full notice is available in Glean's Privacy Policy. US applicants are subject to arbitration as outlined in the Applicant Arbitration Agreement.