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 Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical initiatives end to end, working across services, APIs, data layers, and integration boundaries to deliver complete solutions.

Your primary strength is building reliable backend systems, designing scalable APIs, and shaping cloud native and event driven architectures. You understand how the broader system fits together and can confidently work across frontend and platform boundaries when needed.

Beyond your individual technical output, you function as a technical anchor within your squad. You help drive technical direction, mentor peers, coordinate dependencies, and ensure the team can consistently deliver high quality software without creating unnecessary knowledge silos.

The Day-to-Day ⚒️

Own complex initiatives end to end Drive multi sprint technical initiatives from architecture through implementation, production deployment, and ongoing evolution.

Build reliable backend systems Design and evolve services, APIs, data models, and asynchronous workflows that support complete customer outcomes.

Work across system boundaries Navigate frontend applications, backend services, data layers, and platform integrations to deliver complete solutions.

Set technical direction Bring deep backend expertise while shaping architecture decisions and engineering patterns across the broader system.

Make durable technical decisions Evaluate complex tradeoffs around consistency, performance, reliability, and security, balancing immediate delivery with long term scalability and maintainability.

Anchor the squad Break down complex work, coordinate technical dependencies, unblock others, and help the team maintain delivery momentum.

Drive engineering excellence Raise the bar for testing, CI/CD, observability, architecture, code quality, and pragmatic technical debt management.

Partner across functions Work with Product, Design, QA, SRE, platform teams, and engineering groups to translate customer problems into reliable solutions.

Level up the team Mentor engineers through architecture discussions, design reviews, code reviews, pairing, and knowledge sharing.

Your Superpowers⚡️

Engineering depth and breadth Six or more years of software engineering experience, with deep expertise in backend engineering and strong working competency across the broader stack.

End to end ownership A proven record of owning complex technical initiatives from architecture through production deployment and operation.

System design expertise Strong understanding of service architecture, APIs, distributed systems, cloud services, and maintainable production software.

Data modelling and databases Strong experience designing and evolving data models, schemas, and access patterns, with an understanding of relational databases, query performance, indexing, migrations, and data integrity.