AI Engineering Manager

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.
Strong 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.
Location: IndiQube Edge, Bellandur, Bengaluru | On-site

Work arrangement
No