Senior Product Manager

Who you are

• 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
• Experience: 6+ years in product management or technical program management, ideally within cybersecurity, AI/ML, or large-scale data products

What the job involves

• 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