Jobs at Cybercube

Own the architecture of CyberCube’s AI-ready data platform. Design data contracts, schemas, APIs, governance, lineage, access controls, and audit trails for transactional and analytical use. Lead dataset migrations and improve scalability, reliability, and cost across Spark, Iceberg, Airflow, and AWS. Build secure AI-facing interfaces, MCP servers, semantic layers, and evaluation tooling while guiding technical direction through design documentation and cross-team collaboration.

Lead actuarial analyses, evaluate statistical methods, stress-test and validate internal cyber risk models, investigate data quality, interpret findings, and communicate results to internal and external stakeholders. The role also supports research and development, underwriting and actuarial tool enhancement, documentation, and analytical assistance for team members.

Leads CyberCube’s global marketing function across demand generation, product marketing, communications, and events. Owns marketing strategy, pipeline contribution, positioning, budget allocation, team development, and market presence across US and European markets. Partners closely with sales and product leaders to align marketing with commercial goals, improve enterprise pipeline performance, and strengthen the company’s position in cyber risk analytics.

Leads CyberCube’s global (re)insurance sales and account management organization across UK/Europe and North America. Owns revenue targets, forecasting, pipeline, renewals, expansion, territory design, and enterprise deal execution. Hires, coaches, and performance-manages quota-carrying sellers while engaging senior insurance executives. Requires complex software, data, or analytics sales leadership experience, strong commercial discipline, executive credibility, and regular international client travel. Insurance, reinsurance, cyber risk, or InsurTech experience is advantageous but not required.

Lead cyber threat intelligence activities for cyber catastrophe modeling and insurance analytics. Translate threat actor behavior, security hygiene, technology adoption, and AI risks into modeling assumptions, scenarios, event libraries, and expert-judgment governance. Present methodologies and emerging risks to clients and executives, produce quarterly intelligence reports, and collaborate with engineering, product, analytics, and client-facing teams. The role requires cybersecurity expertise, data fluency, strong communication, consulting skills, and project leadership.

Owns CyberCube’s cyber threat intelligence perspective and translates threat behavior, technology risk, security controls, and emerging AI risks into catastrophe-modeling scenarios, assumptions, and event libraries. The role leads expert-judgment governance, produces quarterly intelligence reports, validates models against real-world events, and presents methodologies and emerging risks to clients and senior stakeholders. It requires collaboration with data science, actuarial, engineering, product, and client-facing teams.