Engineering Team Leader - AI Application Foundation

Description:

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; it’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together. 

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.  

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers. 

We’re on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product. 

This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience. 

As a hands-on leader, you’ll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform. 

• Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience. 
• Mentor engineers, grow the team, and foster a culture of technical excellence and innovation. 
• Design and build robust frameworks and systems that power all customer-facing applications. 
• Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows. 
• Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems. 
• Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.