Recorded Future

Senior Product Manager

Recorded Future

full-time

Posted on:

Location Type: Remote

Location: United Kingdom

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Job Level

Senior

Tech Stack

Cyber Security

About the role

  • 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 Data Science 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 AI/ML-based data collection and analysis, exploring emerging approaches in multimodal analytics and LLM-driven extraction.

Requirements

  • 6+ years in product management or technical program management, ideally within cybersecurity, AI/ML, or large-scale data products
  • Data-Driven Product Thinker with experience managing large-scale data or analytics systems.
  • Strong Technical Acumen, able to engage with data pipelines, ML workflows, and backend architecture.
  • 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.
  • Knowledge of AI/ML, NLP, and Data Analytics, particularly as applied to extraction, classification, or clustering.
  • Strategic Prioritizer who can focus limited resources on the most impactful initiatives.
  • Excellent Communicator with the ability to bridge technical and strategic discussions across teams.
  • Customer-Oriented Mindset, understanding how backend data decisions translate into intelligence quality and customer value.
  • Outcome-Oriented, pragmatic, and comfortable driving progress in complex, technical environments.
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
Applicant Tracking System Keywords

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

Hard Skills & Tools
data lifecycledata quality metricsdata pipelinesML workflowsbackend architectureAI/MLNLPdata analyticsmultimodal analyticsLLM-driven extraction
Soft Skills
product managementtechnical program managementcross-team leadershipstrategic prioritizationcommunicationcustomer orientationoutcome orientationinnovationcollaborationalignment