Who We Are
AI coding is transforming how software is built, but it is also creating new security challenges. As developers increasingly rely on AI coding agents, securing code, open-source dependencies, and software supply chains has become more critical than ever.
Endor Labs is building the next generation of application security solutions to help organizations secure software across the development lifecycle. Our platform combines deep code intelligence with advanced security capabilities to help teams identify exploitable vulnerabilities, prioritize risks, and fix issues without disrupting development.
As AI continues to change how developers discover information and solve technical challenges, the way organizations build their online presence is evolving too. We believe the next generation of technical content needs to be optimized not just for traditional search engines, but also for AI-powered answer engines.
At Endor Labs, we're looking for people who are excited to solve complex problems, move fast, and help shape the future of software security. Join us in building a world where software can be trusted.
How You'll Make an Impact
- Execute Endor Labs' Answer Engine Optimization (AEO) strategy by building and maintaining a consistent pipeline of high-quality technical content.
- Create how-to guides, integration walkthroughs, technical explainers, FAQs, glossaries, and comparison pages across application security, AI code security, software supply chain security, and DevOps.
- Develop content covering technical topics such as CI/CD, Kubernetes, containers, infrastructure-as-code, and AI coding agents.
- Apply AEO best practices across all content, including answer-first writing, question-led headings, concise explanations, structured tables, lists, schema markup, and semantic HTML.
- Refresh and optimize existing blogs, documentation, and website content to improve visibility and relevance across AI-powered answer engines and traditional search.
- Build repeatable content workflows, templates, and briefs using AI writing tools to improve content production and scale output without compromising quality.
- Validate technical content by testing code snippets, configuration examples, and CLI commands, and verifying technical claims with product documentation and engineering teams.
- Collaborate with Product Marketing, Engineering, and Digital teams to ensure technical accuracy, consistency, and alignment with content priorities.
- Own the editorial quality of content produced by internal teams, freelancers, and AI tools, ensuring clarity, accuracy, consistent terminology, and AEO readiness.
- Track content output, publishing timelines, and AI visibility metrics, including citation share and answer accuracy for target prompts.
- Share insights and performance learnings with the marketing team to continuously improve the AEO strategy and content approach.
What You Bring to the Table
If you enjoy working at the intersection of technical content, developer education, and AI-powered search, and the requirements below match your background, we'd love to hear from you!
- 5+ years of experience in technical writing and editing, preferably for developer, DevOps, application security, or infrastructure audiences.
- Strong understanding of DevOps concepts and hands-on familiarity with CI/CD pipelines, containers, Kubernetes, and Infrastructure as Code (IaC).
- Ability to build and test sample CI/CD pipelines to validate technical workflows and examples before publishing.
- Comfortable working with command-line tools, APIs, YAML, JSON, and reading at least one programming language such as Python, Go, Java, or JavaScript.
- Strong understanding of technical documentation practices and the ability to translate complex technical concepts into clear, structu