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Glean

AI-powered enterprise search across applications

Application Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A BA/BS in Computer Science, Cybersecurity, or a related field, or equivalent industry experience.
  • At least 8 years of experience in application security and vulnerability management.
  • Deep understanding of software security vulnerabilities, including CVEs, OWASP Top 10, and supply chain risks.
  • Experience with SAST, DAST, dependency scanning, and vulnerability management tools such as Snyk, GitHub Dependabot, Trivy, Clair, Burp Suite, or OWASP ZAP.
  • Hands-on experience with cloud-native security across AWS and GCP, including containers, Kubernetes, and microservices.
  • Ability to lead cross-functional initiatives and drive security adoption across engineering teams.
  • Strong problem-solving skills and the ability to balance security with performance and usability.

Responsibilities

  • Own the vulnerability management lifecycle across Glean’s technology stack, from discovery and prioritization through remediation, reporting, and measurement.
  • Harden base operating system images and secure open-source dependencies, package managers, and the broader software supply chain.
  • Integrate static application security testing, dynamic application security testing, dependency scanning, and automated security validation into CI/CD pipelines.
  • Evaluate, adopt, and develop security solutions and tooling, including Google’s Assured Open Source Software and comparable approaches.
  • Define secure-coding practices and drive engineering adoption through guidance, training, and mentorship.

About the Company

Glean

AI-powered enterprise search across applications

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company's apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company's own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

Company size
1,001-5,000
Company stage
Series F
Total funding
$805M
Headquarters
Palo Alto, CA
Founded
2019

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