Technical Director

Lumeto•Toronto, ON

1d•CA$130,000 - CA$180,000

About The Position

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. 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.

Requirements

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 Haves

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.
Real-time streaming and low-latency systems experience.
Exposure to healthcare, simulation, or education technology.

Responsibilities

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.