Product Manager - Cyber Security

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

As a Product Manager in Cybersecurity & Technology Controls, you will lead the end-to-end product lifecycle for a blockchain detection and prevention capability serving our Security Operations Centre (SOC). You will translate SOC needs into a prioritized roadmap and backlog, partner closely with engineering and threat SMEs, and ensure detections are accurate, explainable, and operationally effective. Success means improving time-to-detect and time-to-respond while managing false positives and meeting reliability and resiliency expectations.

Job Responsibilities:

• Define product vision, strategy, and roadmap for SOC-focused blockchain detection and prevention
• Lead discovery with SOC analysts and incident responders: workflows, pain points, alert usability, escalation paths, and runbooks
• Own and refine the backlog: detection use cases, requirements, acceptance criteria, and prioritization tradeoffs
• Partner with engineering/threat teams to deliver end-to-end capability: signal ingestion, enrichment, alerting, triage experience, and response automation where appropriate
• Establish and track success metrics (e.g., precision/false positive rate, coverage, latency, time-to-detect/time-to-respond, alert volume, reliability/SLA) and drive continuous improvement
• Drive launch readiness: documentation, training, operational handoffs, and feedback loops with the SOC

Required Qualifications, Capabilities, and Skills:

• Product management experience delivering security detections, SOC tooling, or data/analytics products
• Strong understanding of SOC operations (alert lifecycle, triage, escalations, incident response)
• Background in blockchain fundamentals and common threat patterns/abuse cases
• Ability to use data to prioritize, measure detection efficacy, and manage false positives

Preferred:

• Experience with SIEM/SOAR and detection engineering programs
• Experience operating in a highly matrixed, complex organization