Mazehq
Security Advocate
Remote (US). Posted 3 days ago
The role
You will be the public voice of Maze in the security community, explaining real vulnerabilities, exploits and security news. Your work includes a YouTube explainer series, daily posts on X and LinkedIn, and talks at conferences. You will also turn research from the product and research teams into content.
What you will do
- Explain vulnerabilities, exploits and security news clearly enough that CISOs and Heads of AppSec trust what you say
- Plan, script and present short explainer videos for the YouTube series
- Turn research findings and new product work into write-ups, threads and videos
- Review vulnerability write-ups for accuracy and make them sharper before publishing
- Be active on X and LinkedIn every day and build relationships with practitioners
- Give talks at conferences and community events
- Occasionally join customer and prospect meetings to talk about the problem Maze solves
Required qualifications
- 3 to 5 years as a practitioner in application security or cloud security
- Hands-on security experience, not engineering experience alone
- Comfortable appearing on camera, on stage and in public threads under your own name
- Follows security news on X and LinkedIn closely
- Can explain complicated technical issues in writing and out loud
- Enjoys talking about security and shows that energy
- Sets and keeps your own publishing rhythm
Nice to have
- Experience at a fast-growing security or cloud company
- Content already made: posts, write-ups, videos, talks or podcast appearances
- Experience in vulnerability research, penetration testing or bug bounty
- Contributions to open-source security tools or communities such as OWASP
Benefits
- Video production, editing and writing support
- First-hand access to the research team's findings
Before you apply
- Maze wants a practitioner who has done the security job, not a marketer
About the company
Maze is a Series A startup using AI agents to fix vulnerability management for enterprise security teams. Its work combines generative AI with cybersecurity, and its leadership team has experience at Big Tech and scale-ups, including multiple acquisitions and an IPO.