For engineers at CyberCube, there’s always an opportunity to learn something new. That’s because as a cyber risk analytics company, staying ahead of the curve is essential to creating cutting-edge security solutions for client safety. But how do teams stay in the know in a constantly evolving field? “We have tech exchanges across all of engineering every two weeks — it’s a great way to present any framework that can help with technical challenges,” Engineering Manager Kamlesh Makhija said. Another valuable perk? “CyberCube provides a $2,000 budget for every employee to hone their skills,” said Director of Engineering Ramya Gadiyaram. “Every team member receives the support to achieve their personal goals.”
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Fintech • Insurance • Software • Analytics
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.
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.
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.
