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Senior Product Manager (Threat Intelligence Analytics)

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Onsite

Senior Product Manager (Threat Intelligence Analytics)

Recorded Future

Senior Product Manager (Threat Intelligence Analytics)

Skills

Product StrategyProduct ManagementCybersecurityData AnalysisMachine LearningAINLP / Natural Language ProcessingProduct Manager

3 months ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

8 August 2026

What they need


  • We’re looking for an experienced Product Manager to lead our Threat Intelligence Analytics domain — the foundation that powers Recorded Future’s intelligence platform
  • This role focuses on the collection, transformation, and analysis of global threat data across technical signals — ensuring the intelligence we deliver to customers is comprehensive, timely, and accurate
  • You’ll own the product strategy and roadmap for our intelligence data pipelines and analytics framework, working across multiple technical product teams
  • You’ll be responsible for defining priorities, driving alignment, and ensuring our backend data systems deliver measurable value
  • This is a high-impact role for a technically fluent, strategic product manager who thrives on building data systems that scale, integrate, and continuously improve
  • Own the product strategy and roadmap for the intelligence data lifecycle — from collection through transformation, enrichment, and analytics
  • Align and prioritize across multiple backend teams, balancing platform scalability with intelligence impact
  • Define and track key data quality metrics, including coverage, freshness, accuracy, enrichment value, and signal-to-noise ratio
  • Translate intelligence needs into technical requirements for data scientists, ML engineers, and pipeline developers
  • Collaborate with Threat Intelligence and engineering leadership to identify and deliver high-impact data and analytics capabilities
  • Prioritize ingestion and analysis improvements that most enhance downstream products such as entity risk scoring, malware intelligence, and attack surface correlation
  • Partner with platform and data infrastructure teams to ensure reliable, observable, and efficient analytics frameworks at scale
  • Represent the data layer in cross-functional planning and ensure alignment with UI, integrations, and customer-facing initiatives
  • Establish data quality frameworks and observability standards to ensure transparency and trust in intelligence outputs
  • Champion innovation in threat intelligence data collection and analysis, exploring emerging approaches in multimodal analytics and LLM-driven extraction

Benefits

  • Competitive compensation
  • Retirement plans
  • Great health benefits for employees and their families
  • Company paid life and income protection
  • Structured professional development and career advancement programs
  • Generous paid time off
  • Parental leave
  • Wellness programs
  • Hybrid work and flexible schedules- Experienced Cross-Team Leader, skilled at aligning multiple engineering and data teams around shared goals
  • Familiar with Threat Intelligence or Cyber Data Domains, including structured and unstructured sources such as text, imagery, and network telemetry
  • Excellent Communicator with the ability to bridge technical and strategic discussions across teams
  • Knowledge of AI/ML, NLP, and Data Analytics, particularly as applied to extraction, classification, or clustering
  • Experience: 6+ years in product management or technical program management, ideally within cybersecurity, AI/ML, or large-scale data products
  • Customer-Oriented Mindset, understanding how backend data decisions translate into intelligence quality and customer value
  • Strategic Prioritizer who can focus limited resources on the most impactful initiatives
  • Outcome-Oriented, pragmatic, and comfortable driving progress in complex, technical environments
  • Strong Technical Acumen, able to engage with data pipelines, ML workflows, and backend architecture
  • Data-Driven Product Thinker with experience managing large-scale data or analytics systems

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