Junior Threat Analyst / Labeler

Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast,

LifeLock, Avira, AVG, Reputation Defender, and CCleaner. Our combined heritage is rooted in providing

safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy

and identity protection to more than 500 million users in 150 countries so they can live their digital lives

safely, privately and confidently today and for generations to come.

When you're a part of Gen, you are provided with access to a range of resources and support to ensure

you can do your best work and live your best life. This includes flexible working options with generous

time off and competitive benefits & compensation packages.

Diversity is foundational to how we do business because we know the greatest ideas and results come

from our unique perspectives and differences. We strive to create a safe, inclusive environment where

you can bring your whole self to work. Team members are valued, respected, and celebrated for who

they are in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer.

Employment decisions are based on merit, experience, and business needs.

If this sounds like you — Gen has a dynamic, supportive culture with core values that celebrate diversity,

promote teamwork, and encourage every team member to contribute and grow — join us!

About the role:

The Classification & Labelling team is the foundation of Gen's automated detection capabilities — every AI model is only as good as the ground-truth data it learns from.

As a Junior Threat Analyst / Labeller, you will label and classify threat samples across the SafeSMS, EmailGuardian, AI Assistant and other detection pipelines, triage false positive and false negative submissions from our FP solving system, and support senior analysts with classification decisions that directly determine detection accuracy for millions of Gen customers.

Don't be put off if you're new to security — we will teach you what you need to know.

What you'll do:

• Label incoming threat samples across SafeSMS, EmailGuardian, AI Assistant and other

detection pipelines - scam messages, phishing URLs, deepfakes, AI-generated threats.

• Triage FP/FN submissions from FP solving system: investigate misclassifications and escalate

edge cases to senior analysts.

• Manage and classify email and SMS threat clusters consistently and at volume.

• Support senior analysts with research and classification decisions on novel or ambiguous

samples.

• Participate in data analysis projects that feed into detection pipeline improvements.

• Document classification rationale clearly in Jira and internal labelling systems.

• Take part in regular calibration sessions to keep labelling standards consistent across the team.

What you'll need:

• Minimal understanding of common threat types: phishing, scams, social engineering, malicious

URLs and others 2

• Ability to assess threat indicators: message content, URLs, sender metadata, file metadata is a

plus.

• Familiarity with scripting or programming languages (Python, PowerShell or others) is a plus.

• Strong attention to detail — accuracy and consistency at volume is the core of this role.

• Ability to work independently and in a team-oriented environment.

• Clear written communication for documenting classification decisions and escalation notes.

• English level B2 or higher — analysis and documentation is in English.

What we welcome, or we will teach you:

• Scam detection techniques across SMS, email, and AI-generated content.

• Malware identification methods and internal classification guidelines.

• FP solving system triage workflows and incident response scenarios.

• Python or scripting basics for handling samples at scale.

Compensation

CZK 0 – CZK 520K