Glean is seeking a Tech Lead Manager to lead engineering teams in building and enhancing their Work AI platform, which includes an AI Assistant and AI agents. The role involves driving development, mentoring engineers, collaborating with cross-functional teams, and contributing to the technical vision and roadmap. The company emphasizes AI fluency and requires candidates to have strong technical expertise in distributed systems and leadership skills.

This role is for a Support Escalation Manager at Glean, an AI company focused on a Work AI platform. The manager will lead the resolution of complex technical escalations, acting as a bridge between customers and internal teams (Support, Engineering, Product, QA). Responsibilities include driving investigations, managing customer communication, performing root cause analysis, building cross-functional operating rhythms, analyzing trends, tracking metrics, creating documentation, mentoring support staff, and representing the voice of the customer. The role requires 5-8+ years of experience in technical support or a related customer-facing technical function, strong technical troubleshooting skills, experience with enterprise SaaS products or integrations, cloud environments, and API/authentication issues. While the company is AI-focused and the role interacts with AI products, the core function is customer support escalation management, not direct AI/ML model development or research.

Solutions Engineering Manager for Glean's Work AI platform, focusing on leading a team of SEs to provide technical guidance, drive pre-sales engagements, and ensure customer adoption and value realization. The role involves technical discovery, custom demos, use case workshops, and acting as a primary technical advisor to prospects and customers, collaborating with product and engineering to drive customer satisfaction and product enhancements.

Technical Support Engineer for Glean's Work AI platform, focusing on customer implementation, customization, and troubleshooting of their enterprise search and AI assistant product. The role involves proactive and reactive support, onboarding datasources, identifying system health issues, and working with internal teams to improve the product and service. Requires experience in customer solutions engineering or support engineering, SaaS integrations, cloud technologies, and troubleshooting APIs, SSO, and network issues. Basic knowledge of LLMs is a plus.

Technical Support Engineer for Glean's Work AI platform, focusing on customer implementation, customization, and both proactive and reactive support. The role involves troubleshooting technical issues, assisting with data source onboarding, educating customers, and identifying system health issues. Requires experience in customer solutions engineering, support engineering, or professional services, with hands-on experience in search/knowledge technologies, SaaS integrations, cloud platforms, REST APIs, and SSO/SAML/OAuth. Basic knowledge of LLMs is a plus.

Senior Technical Program Manager to drive large-scale, cross-functional initiatives for Glean's Work AI platform, focusing on product and infrastructure. Responsibilities include program planning, execution, launch, and iteration, with a focus on scaling infrastructure, coordinating feature launches, and improving execution efficiency. The role requires strong technical acumen, experience in enterprise B2B environments, and familiarity with AI technologies.

This role is for a Technical Support Engineer at Glean, an AI-first company focused on its Work AI platform. The role involves providing technical support, implementation, customization, and troubleshooting for Glean customers, ensuring a high level of customer experience. It requires strong problem-solving skills, experience with SaaS integrations, cloud technologies, and REST APIs, with a basic understanding of LLMs being a plus.

Glean is seeking a Quality Assurance Lead to develop and drive their test automation charter. This role involves building frameworks, tools, and infrastructure for scalable testing across their AI-powered Work AI platform. The lead will focus on reliability, maintainability, and speed of testing, mentor QA engineers, and partner with development teams on shift-left testing practices. Experience with Python or Java, modern testing tools, CI/CD, and cloud platforms is required.

Glean is seeking a Quality Assurance Engineer to ensure the quality of their web application through manual and automation testing. The role involves creating and executing test plans, performing initial root cause analysis (RCA) on bugs, reporting issues, and contributing to the automation framework. The ideal candidate has 2+ years of experience in web application testing, familiarity with tools like Jira and Chrome Developer tools, and programming experience in Python or Java.

Backend/Infrastructure engineers to build a highly performant, scalable, secure, permissions-aware system for Glean's Work AI platform, which includes enterprise search, an AI Assistant, and AI agents. The role involves working on distributed systems, storage, data indexing, security, performance optimization, and monitoring for cloud-native applications.

Glean is seeking a Senior Accountant, US Controller to own key components of the US entity general ledger and close process, ensuring accurate, timely, and US GAAP-compliant financial reporting. This role is a core member of the US Controller team, with primary responsibility over accounting of Equity, fixed assets, investments, deposits, and other core balance sheet and P&L areas for the US entity.

Senior Salesforce Developer/Lead Engineer responsible for designing, building, and operating scalable Salesforce solutions for Sales, Marketing, and Revenue Operations teams. Focuses on Sales Cloud, Revenue Cloud Advanced (RCA), Salesforce CPQ, and Quote-to-Cash (QTC) processes, including custom development with Apex, LWC, Flows, and APIs, as well as integrations with various business tools.

This role is for a Senior Payroll Analyst at Glean, an AI company focused on a Work AI platform. The analyst will be responsible for full-cycle payroll processing, compliance, audits, and process improvements for US and CA employees. The role requires strong knowledge of US payroll regulations and experience with enterprise payroll systems. While the company is AI-focused, this specific role is not directly involved in AI/ML development.

Application Security Engineer focused on securing Glean's technology stack, managing vulnerabilities in OS images and OSS dependencies, and integrating security tools into CI/CD pipelines. Responsibilities include scanning, patching, secure coding practices, and developing automated security validation tests.