Software Engineer, Tech Lead, Admin Console

Glean Work is hiring a Software Engineer, Tech Lead, Admin Console in Mountain View, United States. It pays $250k-$300k a year and Level rates it ; you can apply on Level.

AI in this role

ai-agents

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. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. 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. 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. You'll be 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. About the Role:

We’re hiring a Tech Lead for our Admin Console team to engineer one of the most important product surfaces at Glean: the admin experience that helps customers deploy, govern, and scale Glean across their organizations. This is a high-impact, full-stack role for an engineer who can guide architecture, partner deeply with product and design, and grow a small but strategically important team. The Admin Console is the control plane for enterprise activation, admin confidence, and scalable rollout. Admins use it to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a self-serve central hub. As Glean evolves from a search company into an AI platform, this team’s mission is evolving too: from managing data sources to helping admins manage the broader context layer of the system, including actions, live data, governance, and AI configuration.

You will:

Lead and grow the Admin Console engineering team, owning 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.
Help 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.

About you:

7+ years of software engineering experience building production distributed systems or cloud‑native applications.
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: you 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.
You have 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 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.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.

How we rate this

Software Engineer, Tech Lead, Admin Console at Glean Work rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.