Technical Director

Lumeto is building a new category: AI-powered simulation for human performance. Today, hospitals and universities use our platform to train healthcare professionals through immersive scenarios (VR and web-based). Next, we’re scaling our customer base, launching new products, and expanding our use of AI natively across the platform to accelerate immersive and educational capabilities. The Role This is a build-the-future role, not a maintenance role. As Technical Director , you will own technical direction across a multi-platform AI application system, including VR/PC/Web simulation (Unreal Engine), a web platform for content authoring, e-learning and administration, and learning analytics systems. You are part of a leadership triad alongside the Director of Product Marketing and the Director of Product Management, sitting at the intersection of product ambition, technical reality, and system scalability. This is a player-coach role with real influence across product, engineering, and architecture. What You’ll Do Own Technical Direction: Simplify, modularize, and future-proof a multi-platform system growing in complexity, spanning VR/PC/Web simulation, web authoring tools, and analytics infrastructure. Define technical standards and architecture that raise the engineering ceiling for the entire team. Shape AI Strategy in Practical Ways: Deliver AI-generated scenarios, adaptive learning systems, and AI-assisted development workflows. Focus on turning AI into shipped product value. Bring Discipline to Engineering Execution: Improve estimation accuracy, delivery predictability, and development velocity. Establish scalable engineering patterns and a culture of quality and accountability. Build for Scale Before It Breaks: Lead improvements in system reliability, uptime, observability, and performance as the company moves toward its next level of customer growth. Turn Data Into a Core Product Capability: Drive analytics architecture to enable measurement of learner performance, simulation effectiveness, and product usage. Help establish Lumeto as a data-driven platform. Support Product Expansion: Ensure tight integration between simulation, competencies, and learning workflows. Enable rapid iteration using modern AI development methodologies. What We’re Looking For Core Requirements (Must-Have) Proven track record building and operating scalable, cloud-native distributed systems in production at significant scale - real traffic, real orchestration, real failure modes. Deep backend expertise across APIs, services, and the data layer, with the ability to be genuinely hands-on and write production-quality code, not only review it. Strong infrastructure and orchestration maturity: Kubernetes at scale, CI/CD, infrastructure-as-code, observability, and cost-aware scaling. Platform security as a default - authentication, secrets management, and network/data security designed from the start. Modern web platform architecture, including real-time and streaming systems where relevant. Deep Microsoft Azure experience, including sound judgment on managed-service-versus-build tradeoffs at scale. Agentic / AI Engineering Recent, hands-on experience building agentic and LLM-powered systems in production, including tool-calling, orchestration, evaluation, and the infrastructure to serve them reliably. Strong understanding of the latency, cost, and reliability tradeoffs of model-backed systems at scale. Leadership & Communication Sets technical direction, standards, and architecture; raises the engineering bar and mentors others to multiply impact. Excellent communicator who can translate complex technical tradeoffs for non-technical stakeholders and align a team. Genuine fluency working with data - instrumentation, metrics, and data-driven decision-making. Nice-to-Have Proficiency in C++. Background in large-scale real-time systems or interactive/game infrastructure, where web and cloud platform skills supported high-throughput, low-latency workloads.