Own and drive the roadmap for internal detection products (phishing, scam, malware, etc.).
Ensure detection systems meet high standards for precision and recall, minimizing false positives/negatives.
Support integration of detection capabilities into broader NordVPN infrastructure.
Partner with data scientists to define requirements for training, validating, and deploying ML models.
Ensure high-quality labeled data pipelines for model accuracy and robustness.
Collaborate on model evaluation frameworks to track real-world performance and drift.
Facilitate experimentation and rapid iteration on detection algorithms and heuristics.
Oversee ingestion, validation, and prioritization of data from paid, open-source, and internal threat feeds.
Build systems to correlate signals across feeds and flag anomalies or inconsistencies.
Maintain tools and processes that streamline curation workflows and reduce manual overhead.
Ensure transparency and traceability in decisions affecting detection confidence.
Translate business and operational needs into clear technical requirements.
Drive alignment across stakeholders on trade-offs, priorities, and delivery timelines.
Ensure clarity around ownership, goals, and impact of each threat intel product stream.
Lead backlog refinement, sprint planning, and retrospectives with technical teams.
Prioritize work based on business value, tech feasibility, and detection effectiveness.
Track product KPIs (e.g., detection accuracy, false positive rate, latency) and adapt roadmap accordingly.

Requirements

Proven Experience as Technical Product Ownership: Demonstrated success as a Technical Product Owner in cybersecurity, threat intelligence, or data-heavy environments.
Technical and Analytical Thinking: Solid understanding of threat intelligence, detection systems, and ML-driven security products. Able to evaluate technical trade-offs and make informed, data-based decisions.
Data Fluency: Experienced in tracking performance metrics such as detection accuracy or false positive rates. Comfortable using data to identify issues and guide improvements.
Strong Communication: Able to align technical and non-technical teams around shared goals. Skilled at translating complex topics into clear, actionable plans.
Agile Product Delivery: Proven experience leading Agile teams and managing product backlogs. Able to prioritize initiatives based on impact, complexity, and strategic alignment.
Technical Education (a plus): Background in computer science, engineering, or a related technical field is a strong advantage.
Fluency in English: Able to communicate clearly and effectively in both written and spoken English.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata pipelinesdetection systemsthreat intelligencedata analysisproduct KPIsagile methodologiesbacklog managementdata validationalgorithm development

Soft Skills

technical product ownershipanalytical thinkingstrong communicationcollaborationstakeholder alignmentprioritizationtranslating technical requirementsfacilitating experimentationleadershipadaptability