Maze

Security Research Engineer

Europe

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, Artificial Intelligence, Cloud ComputingIndustries

Security Research Engineer

Employment Type: Full-Time Location Type: Remote

Position Overview

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.

Your Contributions to Our Journey

  • Expert Data Labeling and Validation: Serve as the authoritative voice on vulnerability severity and impact, reviewing and categorizing cloud security findings from our AI models to create high-quality training data that improves detection accuracy across our platform.
  • Deep Vulnerability Research: Conduct comprehensive research into cloud vulnerabilities affecting EC2 images, Docker containers, and cloud infrastructure, investigating true/false positives, analyzing business impact, and building proof-of-concepts to validate threat scenarios.
  • AI Model Improvement: Work directly with our labeling tools and platform to provide expert feedback that enhances our AI models' understanding of vulnerability context, helping them learn to prioritize threats like a seasoned security researcher.
  • Technical Investigation and Analysis: Create detailed technical writeups about exploitation techniques, attack vectors, and remediation strategies for cloud vulnerabilities, turning complex security research into actionable intelligence.
  • External Security Intelligence: Leverage CVE databases, security advisory feeds, and threat intelligence sources to enrich vulnerability findings with broader context and emerging threat patterns.
  • Security Content Creation: Contribute to our thought leadership through technical blog posts, security videos/podcasts, and conference presentations, sharing insights from your research to establish Maze as a leader in AI-powered security.
  • Cross-Team Collaboration: Work closely with engineering and product teams to translate security research insights into product improvements and new detection capabilities.

What You Need to Be Successful

  • Security Research Expertise: 5+ years of hands-on security experience with a proven vulnerability research background, comfortable investigating complex security issues and building proof-of-concepts to validate findings.
  • Cloud Security Mastery: Deep knowledge of AWS security, cloud infrastructure vulnerabilities, container security, and cloud-native attack vectors, with hands-on experience securing cloud environments at scale.
  • Technical Investigation Skills: Strong coding and scripting abilities (Python, Go, or similar) for automating research tasks, building validation tools, and creating proof-of-concept exploits.
  • Analytical Excellence: Proven ability to analyze complex security data, distinguish between critical threats and false positives, and communicate technical findings to both technical and business audiences.
  • External Intelligence Integration: Experience working with vulnerability databases, security advisory feeds, and threat intelligence sources to contextualize and prioritize security findings.
  • Collaborative Mindset: Strong communication and teamwork skills to effectively collaborate with cross-functional teams.

Salary: Not specified in the provided text.

Skills

Cloud Security
Vulnerability Research
AI
Generative AI
Cybersecurity
Data Labeling
EC2
Docker
Threat Detection
Risk Assessment

Maze

Product research platform for agile teams

About Maze

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.

Paris, FranceHeadquarters
2018Year Founded
$55.9MTotal Funding
SERIES_BCompany Stage
Consumer Software, DesignIndustries
51-200Employees

Benefits

Health Insurance
Mental Health Support
Life Insurance
Disability Insurance
Flexible Work Hours
Paid Family Leave
Remote Work Options
Company Equity
Home Office Stipend

Risks

Increased competition from AI-driven UX tools threatens Maze's market share.
Rapid AI advancements may outpace Maze's current offerings, requiring R&D investment.
Entry of large tech companies into product research increases competitive pressure.

Differentiation

Maze integrates with Figma and Sketch for seamless usability testing.
The platform supports testing multiple design variants in a single study.
Maze offers AI-powered features to scale research and make rapid decisions.

Upsides

Recent $40M funding round boosts Maze's growth and innovation potential.
Partnerships with User Interviews and ADPList enhance Maze's educational initiatives.
Gold Award recognition highlights Maze's effective approach to behavioral insights.

Land your dream remote job 3x faster with AI