Senior Product Designer, Content Design & Language Systems

The role

You will lead ambiguous product problems by designing workflows, interaction, information architecture, and language. You will build product language systems and design trustworthy AI moments for an AI-powered learning platform.

What you will do

• Frame ambiguous workflow and language problems
• Lead discovery and define outcomes using research and validation methods
• Design complete product workflows including interaction and information architecture
• Build Docebo's product language system including terminology and voice and tone
• Design trustworthy AI moments and patterns
• Embed guidance into product systems and design systems
• Design for localization readiness
• Prototype and audit with AI-assisted methods
• Partner with Engineering on implementation and design QA
• Create reusable leverage through patterns and assets

Required qualifications

• Portfolio showing ownership of complex, ambiguous workflows or significant product-area work
• Ability to explain triangulation of research, evidence, business risk, localization, and technical constraints
• Strong interaction, visual, information-architecture, content-design, accessibility, and product-language judgment
• Experience creating or contributing to product-language systems, terminology frameworks, or content pattern libraries
• Demonstrated use of prototypes, experiments, audits, or validation to change product direction
• Ability to define meaningful outcomes and explain learnings after launch
• Ability to influence Product and Engineering decisions and manage disagreement
• Understanding of how product language works across design systems and languages
• Thoughtful use of AI-assisted tools for research, synthesis, prototyping, or implementation
• Experience helping others build judgment through mentorship, critique, or facilitation

Nice to have

• Experience designing language and interaction patterns for AI-assisted, agentic, recommendation, conversational, generated-output, or automation workflows
• Experience with localization tooling and practices such as Lokalise
• Contributions to design systems, accessibility maturity, product-language systems, or reusable interaction patterns
• Experience with enterprise learning, HR technology, content authoring, analytics, knowledge management, administration, or skills platforms
• Practical experiments with tools such as Codex or similar systems

Benefits

• Employee Share Purchase Plan (ESPP) at a 15% discount
• Competitive compensation package
• Health benefits
• Paid vacation days
• Two company-wide Docebo Days
• Floating holidays for cultural celebrations
• Birthday off
• Family coverage for time with little ones
• Meal voucher for every working day
• Access to Employee Resource Groups

Before you apply

• Step 1: 30-minute video call with Talent team
• Step 2: 45–60-minute conversation with hiring manager
• Step 3: 60-minute portfolio deep dive and collaborative case discussion
• Step 4: Final conversation focused on influence, mentorship, and values

About the company

Docebo is an AI-powered learning platform that helps organizations create, deliver, and manage training. The company uses AI to help teams move faster and work smarter.