Security Engineer, Cloud Security
OpenAI- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Employment Type: Full-Time Location Type: Remote
As a Security Research Engineer at Maze, you will be at the forefront of defining what constitutes real security risk in the age of AI-powered vulnerability detection. This is a unique opportunity to join as one of the early team members of a well-funded startup building at the intersection of generative AI and cybersecurity. Your security expertise will directly shape how our AI models understand and prioritize cloud security threats.
You'll spend the majority of your time as the expert human-in-the-loop, analyzing cloud vulnerability findings from our AI systems, conducting deep research to validate and contextualize threats, and creating the authoritative labels that train our models to distinguish critical risks from noise. Your security judgment will become embedded in our AI platform, scaling your expertise to protect thousands of organizations while establishing new standards for AI-powered vulnerability assessment.
This role is perfect for a security researcher who wants to pioneer the future of AI-assisted threat detection, loves diving deep into cloud security vulnerabilities, and wants to see their security insights amplified through cutting-edge technology.
Salary: Not specified in the provided text.
Product research platform for agile teams
Maze is a product research platform that assists agile teams in quickly testing and gathering user insights to enhance their design and development processes. The platform allows product managers, designers, and researchers to consolidate their research efforts into one easy-to-use interface. Users can import prototypes from popular design tools like Figma and Sketch with a single click, enabling them to conduct usability tests on high-fidelity designs. Maze supports testing multiple design variants in one study, which helps teams make informed decisions based on real user feedback rather than intuition. The company operates on a subscription-based model, offering various pricing plans to accommodate different team sizes. Maze's goal is to empower product teams to create user-centric products by providing fast and continuous feedback, ultimately driving business growth and improving user satisfaction.