We are looking for an exceptional person and technical leader to join the executive team of our rapidly growing Series C InsureTech business in one of our most important leadership positions.

The right candidate will be a world-class leader with distinctive experience in inspiring people leadership, building scalable global processes, and providing technical leadership to a data-driven cyber analytics platform that is changing the future of insurance.

Company Background:

CyberCube is a dynamic and growing Series C startup, with over 120 team members and more than $100 million in funding raised. We are dedicated to delivering the most advanced cyber insurance analytics platform, tackling the most complex cyber risk challenges with our cutting-edge analytics.

Our team is a diverse group of experts spanning data science, cybersecurity, software engineering, modeling, and commercial insurance. Together, we develop products for cyber risk aggregation modeling and insurance underwriting, leveraging top-tier threat intelligence from multiple data sources.

Headquartered in San Francisco, California, CyberCube is backed by leading investors including ForgePoint Capital (the largest venture capital fund focused on early-stage cybersecurity investments) and Hudson Structured Capital Management (HSCM).

Engineering background:

CyberCube has grown in the last 6 years from a team of 4 engineers to over 40 engineers split between the San Francisco Bay Area and Tallinn, Estonia.

We have 3 product teams, and 3 platform teams(including SRE, Data Engineering, and Platform services) spread across the US and Estonia.

Our SaaS platform is 100% cloud-native utilizing a broad cross-section of AWS services. We are a platform of SaaS products to our global insurance industry clients with direct API integrations into the environments of our clients and other third parties. With this, our teams have been migrating from a monolithic architecture to standardized microservices that can be used across multiple product use cases.

Location:

Open to locations throughout the US. Being based in our San Francisco or New York office is nice to have.

Executive Leadership:

Well-rounded business leader with min 3-5 years (ideally 5-10) of executive leadership experience at C/D/E/pre-IPO stage company
Nice to have:
Business experience working in a company that provides information services or modeling to enterprises (e.g., financial modeling, credit scoring, economic modeling, weather modeling, risk modeling)

People Leadership:

An inspiring people leader that is able to attract, retain and excite exceptional engineers
Ability to lead and mentor a team of engineering leaders, providing strategic guidance and driving change through both advice and action
Proven experience collaborating with others to develop and achieve organizational goals while supplying expertise and guidance on projects, operations, and systems
Fit with our cultural values, including collaboration, transparency, intellectual rigor, driving customer outcomes, and commitment to excellence
Capability to manage a distributed team across the globe
A strong, decisive self-starter who thrives in a fast-paced environment

Processes and Technical Leadership:

Native public cloud engineering experience
Experience in compute- and data-heavy platform building (petabyte-scale data and building complex multi-source data lakes)
Experience developing sophisticated B2B SaaS applications
Experience establishing, communicating, and implementing engineering and development policies, practices, standards, and security measures to ensure effective and consistent operations
Experience creating scalable processes for growing organizations to increase predictability, efficiency, and effectiveness
Experience with setting up and overseeing core elements of a high performing engineering organization including design, development, automation, builds, deployment and performance management
Experience influencing product roadmap
Nice to have:
Product management experience
Integration with technology partners experience

Technologies we're using (experience is a plus)

A variety of languages (Java, Python, Node.js, JavaScript)
Cloud - IAAS and PAAS
Database technologies (MongoDB, MYSQL, ES, SOLR, Cassandra)
Agile development, continuous delivery, and DevOps
Large-scale, big data methods and data-driven architectures
Modern cloud microservices architectures
Continuous Integration > Continuous Delivery > Release on Demand

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