Glean unifies search across all of a company's apps, helping users find exactly what they need and discover what they should know.

Glean, a venture-backed company supported by top-tier firms like Sequoia and Kleiner Perkins, is revolutionizing workplace search technology. Founded by experienced engineers from Google and Meta, Glean is addressing the critical challenge of efficient information discovery in professional settings. They're seeking an Application Security Engineer to lead their vulnerability management initiatives and ensure robust security across their technology stack.

The role combines technical security expertise with leadership responsibilities, focusing on protecting the entire software infrastructure from known vulnerabilities (CVEs). The position requires deep knowledge of security tools, practices, and modern development workflows, including CI/CD integration, container security, and cloud-native architectures.

This is an excellent opportunity for a security professional who wants to make a significant impact in a growing company. The role offers a competitive salary range of $185,000 - $280,000, comprehensive benefits, and a hybrid work environment in Palo Alto. The company emphasizes both technical excellence and collaborative culture, making it ideal for someone who can balance security requirements with business needs.

Working at Glean means joining a diverse, innovative team that's tackling meaningful challenges in enterprise search and knowledge management. The company offers a supportive environment with opportunities for professional growth, competitive compensation, and comprehensive benefits including medical coverage, 401k, and various stipends for education and wellness.

Senior Application Security Engineer role at Glean, focusing on vulnerability management and secure software development practices in a hybrid work environment in Palo Alto.

Software Engineer, Application Security

AI-powered enterprise search and knowledge management platform combining Google-like search with ChatGPT capabilities for companies.

Glean, a venture-backed company supported by leading VCs like Sequoia and Kleiner Perkins, is revolutionizing enterprise knowledge work through AI. Founded by ex-Google search and Facebook engineers, they're building an intelligent platform that combines enterprise search with AI capabilities. The Data Foundations team is seeking a Lead Software Engineer to drive their hyper-growth phase, focusing on enterprise data ingestion and management infrastructure. This role offers an opportunity to lead technical initiatives, scale distributed systems handling billions of documents, and directly impact product development. The position requires strong technical leadership, system scaling experience, and excellent collaboration skills. Working from Palo Alto, you'll join a diverse team of experienced professionals from companies like Google, Slack, and Dropbox, contributing to a mission of making knowledge work faster and more humane through AI innovation. The role offers competitive compensation ($200K-$265K) plus comprehensive benefits including medical coverage, 401k, and various stipends for wellness and education.

Lead Software Engineer position at Glean, focusing on data foundations and enterprise search infrastructure, offering $200K-$265K with comprehensive benefits in Palo Alto.

Lead Software Engineer, Data Foundations

Glean, an innovative AI-powered enterprise search platform, is seeking a Senior Site Reliability Engineer to join their team in Palo Alto. This role combines technical leadership with hands-on engineering, focusing on maintaining and scaling cloud infrastructure in a hybrid environment. The position offers an exciting opportunity to work with cutting-edge AI technology while ensuring system reliability and performance.

The ideal candidate will bring 8+ years of SRE experience and strong technical expertise in cloud platforms, containerization, and automation. You'll lead technical initiatives, mentor team members, and play a crucial role in maintaining high-availability systems. The role involves participating in on-call rotations, implementing resilient architectures, and optimizing performance across the platform.

Glean, backed by top-tier VCs including Sequoia and Kleiner Perkins, was founded by former Google and Facebook engineers. The company is building an AI-powered system of intelligence that combines advanced search capabilities with generative AI for enterprise applications. The team includes experienced leaders from companies like Google, Slack, Dropbox, and Palantir.

The position offers competitive compensation ($155,000-$250,000), comprehensive benefits including medical/dental/vision coverage, 401k, and various stipends for wellness and education. The role follows a hybrid work model requiring 3 days in the office in the SF Bay Area, providing an excellent balance of collaboration and flexibility. This is an outstanding opportunity for an experienced SRE to make a significant impact at a well-funded AI company transforming enterprise knowledge work.

Senior Site Reliability Engineer role at Glean, focusing on cloud infrastructure, system reliability, and technical leadership in Palo Alto, CA. Hybrid work model with competitive compensation.

Senior Site Reliability Engineer

Glean, a cutting-edge AI-powered enterprise search platform, is seeking a Machine Learning Software Engineer to join their team in Palo Alto. Founded by former Google search and Facebook engineers, Glean is revolutionizing how companies manage and access their knowledge by combining advanced search capabilities with AI assistance.

The role offers an exciting opportunity to work on sophisticated machine learning systems, including query understanding, document comprehension, and natural language processing. You'll be part of a team that's building the future of enterprise knowledge work, backed by top-tier VCs like Sequoia and Kleiner Perkins.

As a Machine Learning Engineer, you'll be responsible for developing and implementing innovative solutions to improve search personalization, training ranking models, and integrating large language models with search capabilities. The position requires a blend of strong technical skills in machine learning and software engineering, with hands-on experience in Python, Go, or Java.

The company offers a competitive compensation package ranging from $140,000 to $265,000, along with comprehensive benefits including medical coverage, 401k, and various stipends for wellness and education. The work environment is hybrid, requiring presence in the Palo Alto office three days a week, fostering both collaboration and flexibility.

This is an ideal opportunity for someone with 2+ years of experience who wants to work at the intersection of AI, search, and enterprise software, making a direct impact on how companies leverage their collective knowledge.

Machine Learning Software Engineer role at Glean, building AI-powered enterprise search solutions in Palo Alto, CA. 2+ years experience required, $140-265K salary range.

Glean Engineering Jobs

Glean unifies search across all of a company's apps, helping users find exactly what they need and discover what they should know.