Security Research Lead
Based in Germany... with the flexibility to work across EuropeFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- Minimum of 6 years of hands-on experience in security research
- Required Skills
- AWSPythonGo
Requirements
- Minimum of 6 years of hands-on experience in security research with a proven track record of vulnerability discovery, proof-of-concept development, and threat validation.
- Deep expertise in cloud security, particularly AWS environments, as well as application security vulnerabilities and exploitation techniques.
- Experience translating security research into tangible product improvements through close collaboration with engineering, product, and AI/ML teams.
- Strong programming or scripting skills using Python, Go, or similar languages to automate research, build tooling, and develop proof-of-concepts.
- Demonstrated experience publishing technical research, speaking at conferences, or contributing to the broader cybersecurity community.
- Previous experience within a cybersecurity vendor, security research organization, or security tooling company.
- Excellent communication skills with the ability to explain complex technical concepts to both internal stakeholders and external technical audiences.
- Experience leading or mentoring research teams and driving technical standards in fast-paced, high-growth environments.
- Comfortable operating in startup environments with high autonomy, adaptability, and ownership.
- Experience with AI security, open-source security projects, security research operations, or certifications such as OSCP, CISSP, or AWS Security are considered strong advantages.
Responsibilities
- Lead the security research function by defining methodologies, standards, and best practices for identifying, validating, and prioritizing cloud and application security threats.
- Conduct advanced vulnerability research, investigating exploitation techniques, attack vectors, and emerging threats to improve product capabilities.
- Collaborate closely with engineering, AI/ML, and product teams to translate research findings into product features that enhance threat detection, prioritization, and remediation.
- Develop technical intelligence by producing in-depth security research supported by CVEs, advisories, threat intelligence, and real-world vulnerability analysis.
- Shape how AI models understand and prioritize security risks by contributing research insights, classifications, and validation processes.
- Publish high-quality technical content, including research papers, blog posts, conference presentations, podcasts, and other thought leadership initiatives to strengthen industry credibility.
- Establish quality assurance processes for vulnerability research and continuously improve research frameworks.
- Mentor and develop researchers while fostering a collaborative, high-performing research culture capable of scaling with business growth.
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