Jobs at Cybercube

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.

Support scalable AWS cloud infrastructure, Terraform-based infrastructure as code, CI/CD pipelines, Kubernetes EKS environments, observability, monitoring, alerting, and incident response. Collaborate with engineering, security, and product teams while developing reliability and automation skills under the guidance of senior SREs.

Designs, builds, and owns complex full-stack features using React, TypeScript, Java, and Spring. The engineer will evolve service boundaries and architecture, optimize performance, design REST/OpenAPI APIs, work with relational databases and migrations, and use synchronous and asynchronous communication. The role also contributes to technical product direction, modernization efforts, and technology trend evaluation while collaborating autonomously within a globally distributed team.