Enterprise AI cybersecurity platform with layered protection, cyber risk exposure management and SecOps—62 global offices, the United States HQ office is in Texas.
About the role
At TrendAI™, we’re always seeking exceptional talent; people who want to collaborate with the best and push boundaries together. Here, your work goes beyond building a career. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI-powered future. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Lead, grow, and develop a team of data engineers and software engineers responsible for the Security Ontology platform
- Own the end-to-end delivery of the Ontology engineering roadmap, from technical planning and prioritization through implementation, production rollout, and ongoing operations
- Translate product and platform strategy into clear engineering objectives, milestones, execution plans, and measurable outcomes
- Establish effective engineering processes, development standards, code quality practices, and delivery metrics
- Drive execution across multiple workstreams, proactively managing dependencies, technical risks, resource allocation, and delivery commitments
- Build a culture of ownership, accountability, technical excellence, and continuous improvement
More about this role
TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk.
At TrendAI™, we’re always seeking exceptional talent; people who want to collaborate with the best and push boundaries together. Here, your work goes beyond building a career. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI-powered future.
AI Fearlessly.
In this role, you will lead a team of data engineers and software engineers responsible for building, scaling, and operating the foundational knowledge systems that enable AI agents to understand security context, reason across products, maintain persistent knowledge, and power intelligent security experiences.
You will own the execution of the Ontology engineering roadmap, translating platform strategy and architectural direction into production-grade capabilities. You will work closely with Product, Architecture, Data Platform, Security Research, and AI/ML teams to establish shared semantic models, integrate data across security products, and deliver scalable...
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