Lead Data Specialist

About CyberCube:The market leader in digital analytics with the mission of delivering the world’s leading cyber risk analytics on one of the most critical risks of today and the future. Exceptionally well-funded startup that has raised over $100MM from top-tier investors. Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >99% retention rate. CyberCube and its products consistently earn industry recognition , including awards like Forbes America's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025. Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers. At CyberCube, we drive ownership for excellence ✅, empowering our team to take initiative, deliver results, and continually raise the bar. Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)! ️Learn what it’s like to be part of CyberCube’s mission: Watch this leadership team interview! We’re looking to hire a software engineer in the Data Strategy and Collection team at CyberCube. This is a core R&D team at the company that takes on challenging problems and implements scalable systems for large-scale internet data collection. The Data team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings. The title of this position will officially be Lead Data Specialist. Reporting directly to Mohammad Al Boni, our Head of Data, this role puts you at the forefront of data innovation. Lead a team of data specialists to strategize, research, design, develop, deploy, and test robust, streamlined, automated data collection systems supporting use-cases to the (re)insurance industry. The Impact You Will Make:Own the strategy for the Data Collection function and develop and test ideas for new collection initiativesManage 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 goalsDeliver on key objectives and quarterly development goals across 3+ productsThe Skills and Experience You Will Bring:5+ years of experience in building large-scale data collection systemsDeep understanding of the internet infrastructure and technologies such as DNS, CDN, ASN, ISP, and CSPHighly proficient in SQL and Python, strong fundamentals in data structures, algorithms, and base Python paradigms, including object-oriented programming as well as functional programming concepts; Familiarity with modules commonly used for data collection, analysis, and machine learning such as Pandas, NumPy, Scikit-learn etc. Experience with AWS technologies for computation, orchestration, and storageExperience with designing, deploying, and maintaining microservice applicationsExcellent oral and written communication skillsExperience working in and leading project teamsAbility to work in an agile, fast-paced startup environmentAbility to maintain relationships, collaborate effectively, and meet deadlines while working remotelyAbility to think creatively and implement a plan to address bugs and urgent product issues promptlyAptitude for time-sensitive analysis and troubleshooting tasksPrimary Responsibilities:Maintain, monitor, and apply design updates to existing data collection systemsDevelop and continually update technical documentationPerform code reviews and suggest opportunities for improvementsDeliver high-quality data analysis and present findings to cross-functional teamsCollaborate effectively with an organization that prides strong interdisciplinary teamwork among membersExecute with speed and rigor within an efficient and multi-faceted startup environmentAI Fluency:AI plays a critical role in how we scale data operations and drive product innovation across the company. This role contributes to a broader company-wide 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. We look for candidates who show curiosity and strategic thinking in how they apply AI in their work, and we assess this 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 worldCompetitive salary and unlimited PTOMeaningful early-stage equityGenerous healthcare benefits with medical, dental and vision coverageMonthly catered lunches and happy hoursCompany-paid learning and development assistanceFlexible working hours and ability to work remotelyOpportunity to participate in a secondment programDependent care assistance planCompany-supported mentorship programGrow in a collaborative, respectful, and empathetic culture#LI-Remote #LI-Hybrid Apply to this Job