Lead end-to-end research projects focusing on asset data quality, fidelity assessment, enrichment
Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate asset research
Research and define gating conditions that evaluate assets across three dimensions: Existence
Partner with Product and Engineering teams to transform technical research into production-ready

🎯 Requirements

4+ years of professional experience in security research, cyber asset management, threat
Demonstrated proficiency with Python for scripting/automation and SQL for querying complex
Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis
Practical understanding of security data sources and their signal quality- including EDRs, MDMs

🎁 Benefits

Competitive compensation and benefits
Growth opportunities
Community-building

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