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Senior Security Researcher

Open for applications30-min AI interviewInterview in Hebrew

Required skills

Security researchVulnerability analysisPenetration testingPythonSQLAI/LLM toolsCVSSEPSSMITRE ATT&CK

About Frontir

Frontir is a hiring platform that connects exceptional talent with frontier tech companies. We help candidates highlight their multidimensional skills profile instead of a one-dimensional CV.

Our AI interviewer runs a live, role-specific first interview with every candidate, at any hour. Technical skills, soft skills and languages are each checked, with language levels on the CEFR scale and a background check on every candidate. Companies get a vetted profile for each person and a shortlist that explains who fits and why.

As a Senior Security Researcher for Our Partner's Exposures team, you will conduct research into vulnerability detection, remediation, and prioritization to enhance their asset intelligence platform. You will lead end-to-end research projects, collaborating directly with Product and Development teams to convert technical research into product features. You will analyze large-scale security data, automate workflows, and prototype logic to address enterprise attack surfaces. This is a high-impact role where your research directly shapes how our customers identify and mitigate their most critical security gaps.

Responsibilities

  • Lead end-to-end security research projects focusing on vulnerability detection, risk prioritization, and exposure management logic.
  • Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate threat research, and prototype research tools.
  • Research and define remediation strategies, compensating controls, and configuration-based mitigations beyond standard patching.
  • Partner weekly with Product and Engineering teams to transform technical research into production-ready product capabilities.

Minimum Qualifications

  • Professional experience in security research, vulnerability analysis, or penetration testing.
  • Demonstrated proficiency with Python for scripting/automation and SQL for querying complex security data sets.
  • Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis, parsing, or research output.
  • Practical understanding of security frameworks and metrics including CVSS, EPSS, and MITRE ATT&CK.

Preferred Qualifications

  • Prior experience in B2B SaaS or enterprise cybersecurity product environments.
  • Experience in exposure management, attack surface management (ASM), or enterprise risk prioritization.
  • Experience creating custom prioritization and scoring algorithms combining vulnerability telemetry with asset criticality.
  • Deep knowledge of non-patching mitigation strategies, including registry tweaks, network policy shifts, and configuration hardening.
  • Proven track record of framing open-ended security problems into scalable software feature requirements.