Founding Forward Deployed Engineer

Artificial Intelligence. Actual Impact.

At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.

We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart : trust by default, assume positive intent, and create space for different perspectives to thrive.

So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.

🚀 The Adventure Ahead

As a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. This is not a plug-and-play role with a pre-written playbook. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents. By translating customer challenges into reusable platform capabilities, you will play a central role in establishing our FDE function from the ground up, defining what success looks like, and shaping the future of AI-first learning.

🛠️ The Day-to-Day

Build the Blueprint: Thrive in extreme ambiguity. You won't just follow operational rituals—you'll create them. You’ll define how our FDE team operates, set internal playbooks, and figure out the technical roadmap as you navigate uncharted territory alongside our clients.

Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration.

Architect Custom AI Agents: Design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub.

Drive Platform Evolution: Translate hands-on customer insights into foundational platform enhancements, turning bespoke client solutions into scalable features for our broader ecosystem.

Own the Product Lifecycle: Take full ownership from discovery and system architecture to production deployment, monitoring, and iterative optimization.

Build the Discipline: Shape the founding FDE team culture, operational rituals, and internal playbooks while defining our technical roadmap and cross-functional org design.

💪 Your Superpowers

Full-Stack Craftsmanship: 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products.

Agentic AI Expertise: Prior experience building, fine-tuning, or deploying agentic AI systems and LLM-powered applications in production environments.

Product-First Mindset: A strong customer-centric focus with the confidence and communication skills to engage directly with enterprise stakeholders.

Founder Mindset & Ambiguity Tolerance: You don't wait for clear specs or structured hand-offs. You are energized by undefined problems, comfortable making high-stakes decisions with partial information, and obsessed with taking complete ownership from zero to one.

Rapid Prototyping Agility: Proven ability to quickly build prototypes, experiment boldly, and iterate based on real-world usage and customer feedback.

Modern Tech Fluency: Proficiency in our core tech stack, including frontend (React, TypeScript) and backend development (Next.js, TypeScript).

Systems Architecture: Strong architectural background with solid experience navigating distributed systems, AWS, Kubernetes, and LLM providers.

Ecosystem Familiarity: Experience using modern engineering tooling like GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools.

💬 Our Interview Process

Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned.