Senior Product Engineer
Descrizione dell'offerta
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.
About the Opportunity:
As a Senior Product Engineer at Docebo, you operate at the intersection of customer needs and product delivery. You'll own the full lifecycle of the features you build — from identifying the problem, through shipping the solution, to measuring what can be optimized. You're not waiting for specs to land on your desk. You're talking to customers, making product decisions, and iterating based on real data.
You'll combine strong full-stack engineering skills with genuine product thinking and customer empathy to create simple, elegant, and scalable solutions that delight users. You use AI-assisted development to accelerate implementation, applying your engineering judgment to refine, optimize, and architect solutions that are scalable, maintainable, and production-ready. This role is for people who care as much about what they build as how they build it.
What You'll Do
Originate ideas from user conversations, analytics, and company strategy. Build MVPs, ship to production, iterate on feedback, and ensure ongoing success.
Lead the design, development, and scaling of full-stack applications across the company's stack (Go, Node.js, TypeScript, Python), shaping architecture decisions along the way.
Talk directly to users, participate in support rotations, and use product analytics and observability tools to understand how features are actually being used.
Instrument features, run experiments and A/B tests, define success metrics, and use data to decide what to build, improve, or deprecate.
Use tools like Claude Code, Cursor, Codex, and other AI-assisted development workflows as a core part of how you work — not as an experiment, but as a multiplier that lets you ship 10x faster.
Champion CI/CD practices, evolve development workflows, and ensure deployment is fast, safe, and reliable.
Partner with Product, Design, and Testing to break down complex problems and deliver great outcomes — while driving product decisions independently when appropriate.
Coach developers on technical challenges and product thinking, helping them grow into stronger engineers.
What We're Looking For
7-10+ years of experience in full-stack software development, with a track record of building and shipping SaaS products end-to-end.
Advanced proficiency across the full stack — preferably with Node.js and Angular . Experience with any programming language or FE/BE framework is also valued but you are willing to work with Node and Angular
Fluent in AI-assisted development tools (Claude Code, Cursor, Codex, or similar) and able to use them daily to dramatically accelerate output.
Experience using product analytics tools (PostHog, Amplitude, Mixpanel) and comfort with experimentation, feature flags, and A/B testing.
Strong CI/CD experience and familiarity with cloud platforms (AWS), containerization (Kubernetes), and observability practices.
Proven ability to navigate ambiguity, solve complex problems, and make sound product and technical decisions with incomplete information.
Experience mentoring developers and collaborating effectively across disciplines.
Strong communication skills — able to talk directly to customers and translate their needs into technical solutions.
Our Total Rewards Philosophy
Recognizing and rewarding the outcomes and behaviours that shape the future of learning.
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.