• You will work with founders, multiple members of the R&D team, and the engineering team to develop new, experimental technologies. • The core responsibility is to develop our new to market, AI-driven vulnerability intelligence platform and data feed. Take ownership of design, implementation, and deployment in conjunction with the R&D team. • Collaborate with cross-functional teams across the globe, each working in different technology stacks. • Build scalable backend systems using Python (Django) and MySQL or SingleStore. • Develop dynamic and responsive user interfaces with TypeScript, React and Tailwind. • Investigate and incorporate emerging trends in cybersecurity into product ideas. • Write clean, maintainable, and well-tested code. • Participate in architectural discussions and code reviews.

• Identity resolution analytics (deterministic + probabilistic). • Customer profile enrichment and feature engineering. • Intent scoring and behavioral modelling. • Rule-based decisioning with a clear path to ML-driven models. • Model validation, performance measurement, and drift detection. • Analytical inputs powering real-time APIs and microservices. • Working with batch data today, while designing for near real-time enablement.

• Develop and maintain web scraping routines and browser automation. • Create Python scripts for data collection, processing, and organization. • Implement strategies to bypass blocks and anti-bot mechanisms. • Adjust selectors and workflows as web pages change. • Work on continuous improvements to the performance and stability of automations.

• Build and evolve our backend using Python and TypeScript (Node.js). • Design and scale REST APIs for high-performance data operations. • Use AWS tools like Lambda, S3, Redshift, and DynamoDB to power our platform. • Help shape our infrastructure using Terraform and the Serverless Framework. • Collaborate across product, design, and QA to deliver features that just work.