Founding Engineering Team Lead (gn) @ AI Cybersecurity Venture, Berlin

This is an Atlantic portfolio venture. About the Venture We are a recently funded cybersecurity startup based in Berlin, founded by experienced security leaders with backgrounds in Israeli intelligence. We are building a cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. The goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can actually use. We work across cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. About the Role This is a founding hire. You will be building the core platform from scratch, owning the architecture, and leading a small engineering team while writing code yourself most of the time. The role sits at the intersection of technical leadership and hands-on engineering, with a strong lean towards the latter. You will report directly to the CEO and CPTO, with real influence over how the product and team take shape. What you'll do Design, build, and review production backend and platform code, spending roughly 70% of your time writing Go Lead and grow a small engineering team while staying deeply involved in the technical work Own delivery of the engineering roadmap, balancing speed, quality, and security Set architecture direction and enforce engineering standards across the platform Build core security platform components from scratch, including service boundaries, identity systems, and deployment models Establish lightweight engineering processes that support fast execution without unnecessary overhead Mentor engineers through code reviews, pairing, and technical guidance Remove blockers across backend, frontend, data, and DevOps Build PoCs and validate infrastructure and security design decisions early Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Support compliance readiness by enabling controls, logging, and evidence collection for frameworks