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 - 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.
- Technical Leadership and Mentorship: Play a key role in driving technical excellence and fostering a culture of reliability across engineering teams. You will lead by example, setting best practices for incident management, performance optimization, and automation. Influence best practices, drive cross-team collaborations, and contribute to the execution of key objectives in alignment with engineering leadership and cross-functional partners. Establish strong technical credibility, shaping architectural decisions and ensuring the delivery of high-quality, reliable systems.
- Ensure High Availability: Implement and maintain resilient cloud architectures, monitor system performance, and proactively identify and resolve potential bottlenecks or points of failure.
- Incident Management: Participate in primary oncall rotation; cultivate technical curiosity and growth mindset, and a blameless postmortem culture within the team. Continuously optimize the on-call process for sustainability and efficiency.
- Automation and Tooling: Develop and maintain automation scripts, tools, and processes to streamline system deployment, monitoring, and management tasks. Your contributions will be vital in efficiently scaling cloud operations.
- Performance Optimization: Optimize cloud infrastructure and applications for performance, scalability, and cost-effectiveness.
- Security and Compliance: Collaborate with security engineers to implement best practices and ensure compliance with security standards and policies.
- Monitoring and Alerting: Design and configure advanced monitoring systems to gain insights into system behavior, set up alerts, and respond proactively to potential issues. Create and maintain comprehensive dashboards and playbooks for production on-call.
- Software Development Consultation: Engage actively in the entire software development lifecycle. Participate in system design reviews and provide valuable SRE insights during launch reviews, influencing and enhancing system architecture.
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 8+ years of experience in a senior-level role within Site Reliability Engineering or similar role, particularly in managing cloud-based services and infrastructure.
- 5+ years of experience with software development in one or more programming languages.
- 3+ years of experience managing people or teams, leading projects, and designing, analyzing, and troubleshooting distributed systems running in Cloud.
- Strong knowledge of cloud platforms such as Google Cloud Platform, AWS, or Azure.
- Practical experience with containerization technologies, including Docker and Kubernetes. Familiarity with infrastructure as code tools like Terraform is essential.
- Solid understanding of networking, security principles, and best SRE and security practices.
- Proficiency in using monitoring and alerting tools to detect and respond to potential issues effectively
- This role is hybrid (4 days a week in one of our Palo Alto Office)
Top Skills
What We Do
Glean searches across all your company’s apps to help you find exactly what you need and discover the things you should know.
🔍 AI-powered workplace search.
💡 Personalized results and knowledge discovery.
⚡ Easy to use, ready to go— right out of the box.
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