Data Analyst

An elite, high-profile Stealth AI-Security startup backed by substantial, top-tier US venture capital funds. The company is pioneering the critical frontier of AI Agent Security for large-scale enterprises.

The company’s proprietary platform acts as an intelligent, comprehensive defense layer designed to secure, monitor, and audit sensitive organizational data processed by autonomous AI agents.

The company's R&D headquarters is located in the Center region and operates on a flexible hybrid model requiring 4 days in-office (with natural flexibility for a second remote day).

Position Overview-

Founding Cyber & Product Data Analyst joining a highly influential, tight-knit core team to directly shape the product’s strategic roadmap alongside R&D, Product, and executive leadership.

Reporting directly to the Head of Product to own the end-to-end telemetry pipeline—ingesting, structural modeling, and normalization of dense data sets extracted from complex enterprise AI-agent infrastructures into a unified data model.

Conducting advanced cyber-data forensic investigations to unearth subtle security gaps, compliance risks, and operational vulnerabilities within live LLM-agent workflows.

Mapping unknown threat landscapes to structurally evaluate, measure, and design data-backed remediation mechanics for high-end enterprise deployments.

Requirements-

4+ years of proven professional experience as a Data Analyst, Product Analyst, or Security Analyst inside fast-paced technological product organizations (Mandatory).

Direct, practical domain expertise within the Cybersecurity sector, with a strong preference for hands-on experience inside a SOC environment or threat-hunting unit (Mandatory).

Deep technical or professional familiarity utilizing AI systems, LLM frameworks, or generative architectures (Mandatory).

Solid structural mastery of relational databases and production SQL modeling (Mandatory).

Prior hands-on experience engineering complex data pipelines, data cleaning, or ETL architectures is a highly significant asset.

Practical programming capabilities in Python for advanced data manipulation, scripting, or automated parsing is a highly advantageous asset.

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