Cybersecurity Researcher

Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Cybersecurity Researcher to join as a team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Cybersecurity Researcher. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. We’re building a next-generation cyber enforcement platform that helps enterprises understand, measure, and reduce identity risk at scale. Our goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems and AI-driven analysis and automated enforcement through AI Agents. Key Responsibilities Research how identity works across platforms: discovery, permission schemes, hidden attack paths, and the behavior vendors don’t document Connect the dots across environments: attack paths that span SaaS, cloud, and on-prem Turn research into detection logic and rule content that ships in the product Work directly with the founders, product, and engineering to shape what we build next Build the research tooling you need, and share your research through open-source tools and write-ups Must have 4+ years in security research, detection engineering, or a closely related role Hands-on experience with SaaS and cloud platforms such as Microsoft 365 / Entra ID, Google Workspace, Okta, Salesforce, AWS, Azure, or GCP, including their identity and permission models Experience reverse engineering APIs: intercepting traffic, finding undocumented endpoints, and testing behavior against what vendor docs claim Strong Python, written so others can read, run, and maintain it Solid understanding of identity and access concepts: OAuth, SAML, SSO, service accounts, API tokens, delegated permissions Ability to turn research findings into concrete detection logic Based in Berlin or willing to relocate Comfortable operating under ambiguity in an early-stage startup Knowledge of agent related Identity landscape and attack vectors Nice to have Offensive security experience: red team, pentesting, or offensive research Active Directory and hybrid identity Published research, conference talks, CVEs, or open-source tools Detection-as-code experience, such as Sigma or KQL Graph-based attack path analysis, for example with Neo4j You have a CVE, or a story about why you didn’t get one Benefits Team Member Equity — ESOPs in a cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into leadership as we scale the team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to buil