Sr.Product Manager – Threat Intelligence Analytics

Overview

In this role you will own the strategy and roadmap for the Threat Intelligence Analytics domain, guiding data collection, transformation, and analytics to deliver timely, accurate intelligence. You will align multiple backend teams to scale data pipelines and analytics frameworks that underpin downstream products. You’ll establish data quality standards and observability, and drive innovative approaches in multimodal analytics and LLM-driven extraction. This position offers high impact by shaping how intelligence is collected, refined, and delivered to customers.

Responsibilities

• Own the product strategy and roadmap for the intelligence data lifecycle from collection to analytics
• Align and prioritise work across backend teams to balance platform scalability and intelligence impact
• Define and track data quality metrics (coverage, freshness, accuracy, enrichment, SNR)
• Translate intelligence needs into technical requirements for data scientists, ML engineers, and pipeline developers
• Collaborate with Threat Intelligence and engineering leadership to deliver high-impact data and analytics capabilities
• Prioritise ingestion and analysis improvements that enhance downstream products (entity risk scoring, malware intelligence, attack surface correlation)
• Partner with platform and data infrastructure teams to ensure reliable, observable analytics at scale
• Represent the data layer in cross-functional planning and align with UI, integrations, and customer initiatives
• Establish data quality frameworks and observability standards to ensure transparency and trust in outputs
• Champion innovation in threat intelligence data collection and analysis, including multimodal analytics and LLM-driven extraction

Key requirements

• Data-driven thinker with experience managing large-scale data or analytics systems
• Strong technical acumen with data pipelines, ML workflows, and backend architecture
• Experienced cross-team leader coordinating multiple engineering and data teams
• Familiar with Threat Intelligence or Cyber Data domains, including structured and unstructured sources
• Knowledge of AI/ML, NLP, and Data Analytics applied to extraction, classification, or clustering
• Strategic prioritizer focusing on high-impact initiatives
• Excellent communicator bridging technical and strategic discussions
• Customer-oriented mindset translating backend data decisions into intelligence value
• Outcome-oriented and pragmatic in complex technical environments
• Experience: 6+ years in product management or technical program management in cybersecurity, AI/ML, or large-scale data products

• Cross-team collaboration
• Clear communication
• Customer focus
• Data pipelines
• ML workflows
• Backend architecture

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