Senior Product Designer, AI Experience

Docebo•Toronto, ON

1d•CA$100,400 - CA$133,900•Hybrid

About The Position

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 Anyone can slap a generic AI wrapper onto a product, but we are here to solve the genuinely hard part: making AI deeply useful, reliable, and invisible for millions of users everyday. As our Senior Product Designer for AI Experience, you will own the critical, high-trust moments where administrators, creators, and learners interact with generated outputs, evaluate suggestions, and take confident action. We are looking for an experimental designer who already leverages cutting-edge AI multipliers like Claude Code or Cursor to build, break, and prototype at the absolute edge of product design. This is your chance to move AI past abstract hype and architect the core design systems and paradigms that will define the future of workplace learning.

Requirements

You bring an impressive track record of designing highly complex, workflow-heavy systems within B2B SaaS, enterprise, or platform products.
You possess a proven ability to make sound, strategic design decisions and progress forward even when operating with highly incomplete or shifting technical data.
Your portfolio boasts gorgeous, end-to-end interaction design and system maps that prove your knack for organizing chaotic feature requests into clean product flows.
You don't just design the "happy path"—you genuinely enjoy mapping out the hard parts like complex permissions, recovery states, error handling, and confirmations.
You are a designer who already naturally utilizes next-gen AI tools (like Claude Code, Cursor, Codex, or similar) as a regular multiplier to accelerate your research, synthesis, and concept explorations.
You back up your design choices with sharp user insights, business value, and technical rationale while enjoying direct, collaborative dialogue with customers.
You hold a strong, working command of responsive design standards, localization needs, design systems management, and digital accessibility compliance.

Nice To Haves

You have hands-on experience designing workflows for conversational interfaces, assistant patterns, recommendation algorithms, or multi-step agentic systems.
You bring a professional background in HR technology, enterprise learning systems, complex content authoring platforms, or massive knowledge management networks.
You actively maintain side projects, build custom plugins, or spin up experimental prototypes that demonstrate you love to learn by rolling up your sleeves and creating.

Responsibilities

Lead the end-to-end design for complex, AI-assisted workflows from strategic problem framing all the way through to shipped product excellence.
Design beautiful, high-clarity generated-output experiences that elegantly show users what was created, what data informed it, and what step to take next.
Establish and scale reusable, global design patterns for AI review states, approval loops, data source visibility, recovery paths, and critical user privacy safeguards.
Code or construct high-fidelity prototypes of complex AI behaviors early in the cycle, enabling teams to pressure-test and evaluate product direction before engineering commits.
Shape the microcopy and UX writing for intricate AI moments, ensuring errors, status messages, generation guidance, and empty states feel incredibly human.
Partner lock-step with Product, Engineering, and specialized AI teams to break down massive technical complexity into visible trade-offs and elegant product experiences.
Conduct meticulous implementation reviews with Engineering partners to polish, tweak, and perfect the AI experience before it hits production.