Lead Software Engineer - Data Collection

Location

San Francisco Office

Employment Type

Full time

Location Type

On-site

Department

Product Organization Data

Compensation

• $160K – $176K
• Offers Equity

The salary range posted reflects what you can typically expect for this role. We tailor compensation to each candidate by considering market rates, experience, qualifications, and location.

Stock options are included for all roles, and additional benefits will be shared during the hiring process.

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! 🎥

This role is onsite in San Francisco

We’re looking to hire a Lead 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.

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. Lead Data Specialist. Reporting directly to Mohammad Al Boni, our Head of Data, this role puts you at the forefront of data innovation.

The Impact You Will Make :

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

The Skills and Experience You Will Bring :

5+ years of experience in large‑scale data collection / software engineering

Deep understanding of the 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, 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 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 a plan to address bugs and urgent product issues promptly

Aptitude for time‑sensitive analysis and troubleshooting tasks

Primary Responsibilities :

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 prides strong interdisciplinary teamwork among members

Execute with speed and rigor within an efficient and multi‑faced startup environment

AI 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 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 Range : $160K - $176K

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