Senior Engineering Manager Lead. Build. Innovate. AI meets cybersecurity
- and we need a technology leader to drive it. Tuebora is building AI-driven cybersecurity solutions focused on solving real enterprise problems. We’re looking for a strong engineering leader who can own technology, build high-performing teams and drive product innovation. What You’ll Own
• Lead and scale Tuebora's engineering teams
• Drive engineering execution, releases and product roadmap.
• Provide strong technical leadership, architecture guidance and mentorship.
• Work closely with Product, Services and leadership.
• Drive meaningful adoption of AI, LLMs and AI Agents across engineering and the product.
• Build the right team structure, capabilities and processes to support scale and delivery. What We’re Looking For
• 15+ years of software engineering experience with 5+ years in engineering leadership.
• Strong B2B/product engineering background, preferably in startup/lean environments.
• Experience building and scaling high-performing engineering teams.
• Strong technical foundation with technologies such as Java, ReactJS, Python, cloud and Kubernetes.
• Strong understanding of AI/GenAI/LLMs/AI Agents, with a genuine journey of AI adoption and transformation.
• Cloud-native experience with AWS/Azure/GCP,
Docker and Kubernetes.
• Strong design and architecture skills, with the ability to explain and defend technical decisions.
• Assessment will focus less on the number of technologies you know and more on how deeply you understand what you know and how you apply it.
• Robust problem-solving and thought process
- how you approach ambiguity, make decisions and solve complex engineering challenges.
• Demonstrated technical leadership through real-world scenarios and engineering decisions.
• Experience defining and owning KPIs, engineering goals and measurable outcomes.
• Strong engineering management skills across people, process, team capability and skill development.
• Experience championing AI literacy and adoption within engineering teams/functions.
• A forward-looking mindset on AI-powered full-stack engineering, and the evolution from traditionally siloed frontend, backend and QA roles toward more integrated engineering teams.
• Customer-focused, collaborative and execution-oriented leadership. Why Tuebora? This is an opportunity to shape, scale and own the future of cybersecurity at the intersection of AI and enterprise security.