We develop phishing detection technology, Android and Windows apps, and a platform for organizations. Join us if you want to make technical decisions and see their impact in the product.
4 open rolesRemoteB2BFull-time
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01Detection & Research
Principal Security Engineer
Investigate real phishing campaigns and develop signals and detection logic. We’re looking for someone who can turn security research into protection that works in production.
Phishing and infrastructure
Detection engineering
Security research
Responsibilities and requirements
What you’ll do
Investigate phishing, malicious infrastructure and the causes of incorrect or missed classifications.
Design detection signals and mechanisms for Argus and evaluate threat intelligence sources.
Conduct adversarial testing and threat modeling for the Windows and Android apps and ESC.
Develop test methods and work with the ML team on data quality and reducing false positives.
What you’ll bring
A strong technical background in cybersecurity and a thorough understanding of how phishing works.
Confidence analyzing HTTP/HTTPS, DNS, URLs, redirects and hosting infrastructure.
The ability to work with code and conduct technical investigations independently.
English sufficient to work with technical documentation and research publications.
Helpful experience. Experience in detection engineering, browser security, malware analysis, EDR/XDR/NDR, reverse engineering or ML security.
What we offer. A direct say in our core detection system, technical autonomy, close collaboration with the ML team and a short path from investigation to production.
Develop the next generations of Argus. You’ll work across the model lifecycle, from preparing data and running experiments to serving models in production.
Modeling and evaluation
Data quality
GPU inference
Responsibilities and requirements
What you’ll do
Prepare datasets and train, fine-tune and evaluate detection models.
Investigate false positives and false negatives, mine hard negatives and calibrate classifiers.
Check for data leakage and contamination, make evaluations reproducible and track model quality after deployment.
Optimize GPU inference and work on model serving.
What you’ll bring
Strong Python skills and hands-on deep learning experience.
Experience with PyTorch, TensorFlow or a similar framework, and with Transformers.
An understanding of precision, recall, false positive rates, calibration and sound dataset splits.
The ability to run experiments independently without tuning a model to a single benchmark.
Helpful experience. Experience with Hugging Face, LoRA, MLOps, CUDA, ONNX/TensorRT, model serving or cybersecurity.
What we offer. A say in the development of Argus, production GPU infrastructure, real phishing cases and the opportunity to establish ML engineering practices.
Test the protection apps and enterprise platform from a user’s perspective. You’ll run manual tests, identify defects and verify fixes before release.
Manual testing
Android and Windows
ESC and web
Responsibilities and requirements
What you’ll do
Plan and run functional, exploratory and regression tests for the Android and Windows apps, ESC and the website.
Test installation, updates, protection settings and common user workflows across devices and browsers.
Reproduce bugs, document the steps, conditions and expected outcome, and verify fixes.
Work with product and security teams to assess protection behavior and the clarity of user-facing messages.
What you’ll bring
Hands-on experience testing software manually and designing test scenarios.
The ability to reproduce defects reliably and write clear bug reports.
Confidence using Android, Windows and browsers, and a basic understanding of web applications.
Independence, attention to detail and sufficient English to read technical documentation.
Helpful experience. Experience with security apps, browser developer tools or Postman, or a working knowledge of HTTP and DNS.
What we offer. Direct input into the quality of products our customers use, close collaboration with the engineering team and involvement throughout the release process.
