Cybercube

HQ
San Francisco
Total Offices: 5
138 Total Employees
Year Founded: 2018

Cybercube Benefits Overview

Compensation + Benefits

Offers generous parental leave

Offers health insurance

Work-Life Balance + Wellbeing

Offers generous PTO

Company Culture

Offers a remote work program

Recently posted jobs

2 Days AgoSaved
Remote or Hybrid
2 Locations
Fintech • Insurance • Software • 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.
2 Days AgoSaved
Remote or Hybrid
2 Locations
Fintech • Insurance • Software • Analytics
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.
2 Days AgoSaved
Remote or Hybrid
2 Locations
Fintech • Insurance • Software • Analytics
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.