Overview

CyberCube is a market leader in digital analytics with the mission of delivering world-leading cyber risk analytics on critical risks of today and the future. It is an exceptionally well-funded startup that has raised over $100MM from top-tier investors and is used by 75% of the top 40 US and European cyber insurance carriers, surpassing 100 clients in 2023. The company has a 99% retention rate and has earned industry recognition, including Forbes America's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025. Senior leadership focuses on attracting and developing exceptional people from diverse backgrounds and enabling cross-disciplinary collaboration to do the best work of their careers. CyberCube encourages ownership for excellence, initiative, and ongoing high performance. The company has been named on Forbes’ America’s Best Startup Employers list for three consecutive years (2021–2023). Learn what it’s like to be part of CyberCube’s mission by watching the leadership team interview.

We’re looking to hire a Lead Software Engineer in the Data Strategy and Collection team. This is a core R&D team that tackles challenging problems and builds scalable systems for large-scale internet data collection, closely collaborating with engineering and product teams to construct high-quality datasets that drive market-differentiating features within CyberCube’s product offerings. The official title is Lead Data Specialist, reporting to the Head of Data, and this role leads a team of data specialists to strategize, research, design, develop, deploy, and test robust, automated data collection systems for use cases in (re)insurance.

Responsibilities

• Own the strategy for the Data Collection function and develop and test ideas for new collection initiatives
• Manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and post-contract account management
• Engage in cross-functional collaboration with stakeholders from engineering, product management, cyber risk modeling, actuarial science, economics, and client success to deliver on projects and product goals
• Deliver on key objectives and quarterly development goals across 3+ products
• Maintain, monitor, and apply design updates to existing data collection systems
• Develop and continually update technical documentation
• Perform code reviews and suggest opportunities for improvements
• Deliver high-quality data analysis and present findings to cross-functional teams
• Collaborate effectively with an organization that values strong interdisciplinary teamwork
• Execute with speed and rigor within a fast-moving startup environment

Qualifications

• 5+ years of experience in building large-scale data collection systems
• Deep understanding of internet infrastructure and technologies such as DNS, CDN, ASN, ISP, and CSP
• Highly proficient in SQL and Python; strong fundamentals in data structures, algorithms, and base Python paradigms (OO and functional); familiarity with data collection, analysis, and ML libraries such as Pandas, NumPy, Scikit-learn
• Experience with AWS technologies for computation, orchestration, and storage
• Experience with designing, deploying, and maintaining microservice applications
• Excellent oral and written communication skills
• Experience working in and leading project teams
• Ability to work in an agile, fast-paced startup environment
• Ability to maintain relationships, collaborate effectively, and meet deadlines while working remotely
• Ability to think creatively and implement plans to address bugs and urgent product issues promptly
• Aptitude for time-sensitive analysis and troubleshooting tasks

AI Fluency

AI plays a critical role in scaling data operations and driving product innovation. This role contributes to a broader focus on expanding AI usage to improve efficiency, quality, and insight generation. You’ll be expected to apply AI tools to streamline processes and explore new ways to unlock value through automation and analysis. Candidates with curiosity and strategic thinking about applying AI in their work will be evaluated as a key capability during hiring.

Why You\'ll Love It Here

• Play an instrumental role in reshaping one of the oldest industries in the world
• Competitive salary and unlimited PTO
• Meaningful early-stage equity
• Generous healthcare benefits with medical, dental and vision coverage
• Monthly catered lunches and happy hours
• Company-paid learning and development assistance
• Flexible working hours and ability to work remotely
• Opportunity to participate in a secondment program
• Dependent care assistance plan
• Company-supported mentorship program
• Grow in a collaborative, respectful, and empathetic culture

Compensation

Compensation Range: $160K - $176K