Senior Product Designer, Content Design & Language Systems

📍 Job Overview

Job Title: Senior Product Designer, Content Design & Language Systems

Company: Docebo

Location: Toronto, Ontario, Canada

Job Type: FULL_TIME

Category: Product Design / Content Strategy / Operations

Date Posted: 2026-09-04

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid (3 days in office, 2 days remote)

🚀 Role Summary

• Lead ambiguous product problems by integrating workflow, interaction, information architecture, and language for complex enterprise experiences.

• Design complete product workflows, establish reusable terminology, and improve AI review and confidence experiences, embedding language guidance into the design system.

• Partner closely with Product Management, Engineering, UX Research, Design System, AI, and other Product Designers to build shared quality capabilities.

• Shape product behavior and language, utilizing customer evidence, product data, business context, and technical constraints for clear product decisions.

📝 Enhancement Note: This role is distinctly positioned as a hands-on Product Designer with a specialization in Content Design and Language Systems, rather than a pure UX Writer or Localization Operations role. It requires a strong blend of product design craft, strategic thinking, and operational execution to build scalable language solutions within a complex enterprise software environment. The emphasis on "operations" comes from the need to build reusable systems, embed guidance, and partner with technical writing/localization teams.

📈 Primary Responsibilities

• Frame ambiguous workflow and language problems into clear problem statements, hypotheses, and actionable paths for product development.

• Lead discovery efforts by selecting appropriate research and validation methods, synthesizing qualitative and quantitative data to define measurable success signals.

• Design end-to-end product workflows, encompassing interaction, information architecture, content decisions, states, edge cases, accessibility, and error handling.

• Establish and evolve Docebo's product language system, including voice, tone, reusable microcopy patterns, audience guidance, and language principles.

• Design user-centered AI experiences that clearly communicate AI actions, underlying reasoning, and provide intuitive review, editing, and recovery options.

• Collaborate with the Elemental Design System team to create component-level guidance, default strings, usage examples, and quality checks.

• Own product-side standards for localization readiness, including translation-ready writing, terminology reuse, variable management, and language previews.

• Utilize appropriate-fidelity prototypes and AI-assisted methods for exploration, evaluation, auditing, and assessing usability and technical feasibility.

• Partner with Engineering through design QA, implementation strategy, product polish, and post-release iteration based on customer feedback and product data.

• Develop reusable assets such as patterns, terminology, prompts, and documentation to enhance efficiency across multiple features.

• Mentor designers and cross-functional partners on product-language judgment through critique, workshops, and practical guidance.

📝 Enhancement Note: The responsibilities highlight a "product thinking" approach to content and language, emphasizing system-building and cross-functional enablement, which aligns with operational excellence in design. This is not just about writing copy, but about creating scalable content solutions.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, HCI, Linguistics, Communications, or a related field is typically expected for a Senior Product Designer role. Equivalent practical experience will also be considered.

Experience: Minimum of 5-10 years of experience in Product Design, with a significant focus on Content Design, UX Writing, or Language Systems within a software product environment. Experience designing for complex, ambiguous problems is crucial.

Required Skills:

• Portfolio: Demonstrates ownership of complex, ambiguous workflows or significant product-area work with visible customer and product impact.

• Problem Framing & Synthesis: Ability to triangulate qualitative research, quantitative evidence, business risk, localization considerations, and technical constraints.

• Design Craft: Strong judgment in interaction design, visual design, information architecture, content design, accessibility, and product language across various states and edge cases.

• System Design: Proven experience creating or contributing to product-language systems, terminology frameworks, component guidance, content pattern libraries, or other reusable product standards.

• Validation & Iteration: Experience using prototypes, experiments, audits, or validation to influence product direction and demonstrate learnings post-launch.

• Outcome Definition: Ability to define meaningful outcomes, distinguish signal from activity, and articulate learnings after product release.

• Influence & Accountability: Experience influencing Product and Engineering decisions early, managing disagreement constructively, and ensuring implementation quality.

• Localization Awareness: Understanding of how product language functions across design systems and languages, including translation readiness, terminology reuse, variables, layout constraints, and inclusive communication.

• AI-Assisted Tool Proficiency: Thoughtful use of AI tools for research, synthesis, language exploration, prototyping, quality review, or implementation critique, maintaining human judgment.

• Mentorship & Facilitation: Experience helping designers and cross-functional partners build stronger judgment through critique, facilitation, and practical guidance.

Preferred Skills:

• Experience designing language and interaction patterns for AI-assisted, agentic, recommendation, conversational, generated-output, or automation workflows.

• Familiarity with localization tooling and practices (e.g., Lokalise, terminology management, localization previews, translation quality review, localization-to-codebase workflows).

• Contributions to design systems, accessibility maturity, product-language systems, research practices, or reusable interaction patterns.

• Experience within enterprise learning, HR technology, content authoring, analytics, knowledge management, administration, or skills platforms.

• Practical experiments with AI tools (e.g., Codex) for audits, linting, prompt packs, prototypes, or app-level language guidance.

📝 Enhancement Note: The emphasis on a portfolio demonstrating workflow ownership and system design, rather than just writing samples, is a key differentiator for this role and crucial for operations-minded candidates to highlight. The "superpowers" section is critical for understanding the depth of experience expected.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Workflow Ownership: Showcase at least one complex, ambiguous product workflow you led from conception to launch, detailing the problem, your process, and the impact.

• System Contributions: Include examples of how you've built or contributed to reusable product standards, such as terminology frameworks, content patterns, component guidance, or language principles.

• Evidence & Impact: Clearly articulate how you used customer evidence (qualitative research) and product data (quantitative analytics) to inform your design decisions and measure success.

• Cross-Functional Influence: Demonstrate instances where you successfully influenced Product and Engineering decisions, managed disagreements, and ensured high implementation quality.

• Localization Readiness: Provide examples of how you designed for translation readiness, managed terminology, or considered localization constraints within your product designs.

Process Documentation:

• Problem Framing & Discovery: Detail your methodology for framing ambiguous problems, defining hypotheses, and selecting appropriate research and validation methods.

• Design & Iteration: Explain your process for designing complete workflows, including how you addressed edge cases, accessibility, and AI interactions, and how you iterated based on feedback.

• System Integration: Describe your approach to embedding language guidance into design systems and documentation, and how you collaborated with design system teams.

• AI Integration: Outline your process for designing "trustworthy AI moments," including how you ensure user understanding and control over AI-generated content.

📝 Enhancement Note: This section is crucial for operations-focused candidates. The portfolio must go beyond static UI elements and demonstrate a systematic approach to designing scalable, maintainable, and impactful product language and workflows. Highlighting process documentation and system-level thinking will be key.

💵 Compensation & Benefits

Salary Range: Based on the provided EUR salary range of €31,800 - €42,400 annually for a Senior Product Designer in a major Canadian city like Toronto, and considering the current market for specialized roles like Content Design & Language Systems, a more accurate Canadian Dollar range would be approximately CAD $60,000 - $80,000. This estimate considers:

• Location: Toronto has a high cost of living and a competitive tech market.

• Experience Level: Senior roles command higher compensation.

• Specialization: Content Design & Language Systems is a niche and in-demand skill.

• Currency Conversion: Direct conversion from EUR to CAD at current rates, adjusted for regional market differences.

• Industry Benchmarks: Data from similar roles in Canadian tech companies.

Benefits:

• Financial Wellness: Employee Share Purchase Plan (ESPP) with a 15% discount, competitive compensation.

• Health & Well-being: Comprehensive health benefits (physical, mental, financial), paid vacation days, two company-wide Docebo Days, floating holidays, and birthday off.

• Family Support: Parental leave coverage.

• Daily Support: Meal vouchers for every working day.

• Community & Engagement: Access to global communities through Employee Resource Groups (ERGs) and company-wide events.

Working Hours: Standard 40-hour work week, with a hybrid model allowing for flexibility on remote days. The expectation is that work is completed effectively within these hours, with a focus on impact rather than strict time-tracking.

📝 Enhancement Note: The provided EUR salary is likely a European benchmark and requires significant adjustment for the Canadian market. The estimated CAD range is based on typical senior product design roles in Toronto, factoring in the specialized nature of content design and language systems. A candidate should expect to negotiate within this range based on their specific experience and qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Software as a Service (SaaS), Learning & Development Technology (EdTech). Docebo operates in the rapidly evolving space of AI-powered corporate learning, aiming to transform how organizations train their employees.

Company Size: Over 900 employees globally. This size indicates a company that has scaled beyond startup phase, likely with established processes but still retaining agility and a focus on growth. For operations professionals, this means opportunities for process improvement and impact within a structured yet dynamic environment.

Founded: The founding date is not explicitly provided, but the company's growth to over 900 employees suggests a history of innovation and market traction, likely founded in the early to mid-2000s or later.

Team Structure:

• Operations Integration: This role sits within the Product Design team but has significant operational responsibilities related to content systems, localization readiness, and embedding guidance.

• Cross-Functional Collaboration: Works closely with Product Management, Engineering, UX Research, Design System (Elemental), Accessibility, Technical Writing/Localization, AI teams, and other Product Designers. This requires strong communication and collaboration skills, a hallmark of effective operations.

• Reporting: Likely reports into a Head of Product Design or similar leadership role, with dotted-line influence across product development teams.

Methodology:

• AI-Driven Innovation: A strong focus on leveraging AI to enhance learning experiences and automate tasks.

• User-Centric Design: Emphasis on understanding user needs and creating intuitive, effective experiences for admins, creators, managers, and learners.

• Systemic Approach: Building reusable patterns, terminology, and guidance within design systems to ensure consistency and scalability.

• Data-Informed Decisions: Utilizing customer evidence and product analytics to guide product development and measure impact.

Company Website: https://www.docebo.com/

📝 Enhancement Note: Docebo's focus on AI in learning and its established company size provide a rich context for operations roles. The "Docebo Heart" values (trust by default, assume positive intent, create space for different perspectives) are key cultural indicators that candidates should align with.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level Product Designer role with a specialized focus. It represents a significant step for individuals looking to deepen their expertise in content strategy, language systems, and the operational aspects of design at scale within a product organization. It’s a role that requires both deep craft and strategic thinking, moving beyond individual feature design to system-level impact.

Reporting Structure: The role reports into a design leadership function (e.g., Head of Product Design), but its success is heavily dependent on close collaboration and influence with Product Management, Engineering, and other specialized teams (AI, Localization). This cross-functional matrix is common in tech operations.

Operations Impact: The impact of this role is substantial:

• User Experience: Directly improves the clarity, consistency, and ease of use of Docebo's complex enterprise platform for all user types.

• Efficiency: Reduces development time and QA effort by establishing reusable content patterns and language standards.

• Scalability: Enables faster product expansion and localization by designing for readiness and consistency.

• AI Trust: Enhances user adoption and trust in AI features by designing clear and understandable interactions.

• Brand Consistency: Reinforces Docebo's brand voice and tone across all product touchpoints.

Growth Opportunities:

• Specialization Deepening: Further develop expertise in AI-driven design, advanced content strategy, and global product language systems.

• Leadership Development: Potential to become a lead or principal designer in content/language systems, mentoring junior team members and shaping team strategy.

• Cross-Functional Leadership: Opportunity to lead initiatives that span multiple product areas and influence broader product development practices.

• System Ownership: Grow into a role that owns and evolves critical design systems and content frameworks for the entire product suite.

• Industry Influence: Contribute to the broader discourse on content design and language systems in enterprise software.

📝 Enhancement Note: This role offers a clear path for growth within a specialized but critical area of product development. The emphasis on systemic impact and cross-functional influence positions it as a significant career advancement opportunity for operations-minded designers.

🌐 Work Environment

Office Type: Hybrid work model. The company emphasizes the value of in-person collaboration for specific days, suggesting a modern office environment designed to foster teamwork and knowledge sharing.

Office Location(s): Primarily based in Toronto, Ontario, Canada, with a requirement for employees to be in the office on Tuesdays, Wednesdays, and Thursdays. This location is a major hub for technology and talent in Canada.

Workspace Context:

• Collaborative Hub: The office days are dedicated to collaboration, problem-solving, and learning, implying open-plan spaces, meeting rooms, and informal gathering areas.

• Tools & Technology: Access to standard design software, collaboration tools, and potentially specialized AI tools for design and content. The role requires proficiency with design and prototyping tools.

• Team Interaction: Regular opportunities for direct interaction with designers, product managers, engineers, and researchers, fostering a dynamic and communicative work environment.

Work Schedule: A standard 40-hour work week with a hybrid arrangement provides flexibility. The three-day in-office expectation allows for focused team sprints and collaborative sessions, while remote days offer flexibility for deep work and personal balance.

📝 Enhancement Note: The hybrid model with specific in-office days indicates a structured approach to balancing flexibility with the operational need for in-person collaboration, a common trend in mature tech companies.

📄 Application & Portfolio Review Process

Interview Process:

• Step 1 (Talent Team Call): Initial 30-minute screening to assess basic alignment, cultural fit, and interest in the role. Preparation: Be ready to articulate your career aspirations and why Docebo and this specific role appeal to you.

• Step 2 (Hiring Manager Call): 45-60 minute discussion focusing on your experience, design philosophy, and approach to complex problems. Preparation: Prepare specific examples that showcase your senior-level experience in product design and content strategy.

• Step 3 (Portfolio Deep Dive & Case Discussion): 60-minute session to review your portfolio in detail and engage in a collaborative case study. This is the most critical step for assessing your capabilities in workflow ownership, content/interaction decisions, system thinking, and evidence-based design. Preparation: Select 2-3 of your strongest projects that best represent the "superpowers" listed in the job description. Be ready to walk through the problem, your process, the trade-offs, the impact, and what you learned. Practice explaining your reasoning clearly and concisely.

• Step 4 (Final Conversation): Focus on product-area influence, mentorship, values alignment, and cross-functional decision-making. Preparation: Reflect on how you embody Docebo's "Heart" values and how you foster positive working relationships across teams.

Portfolio Review Tips:

• Focus on Process & Impact: Emphasize the "why" and "how" behind your design decisions, not just the final "what." Showcase complex, ambiguous problems and demonstrate measurable outcomes.

• Highlight Systemic Thinking: Clearly articulate contributions to reusable patterns, terminology, or design systems. Show how your work scales beyond a single feature.

• Integrate Operations Aspects: Explicitly mention how you considered localization readiness, technical constraints, AI integration, and cross-functional dependencies in your projects.

• Tell a Story: Structure your case studies with a clear narrative: problem, approach, solution, results, and learnings.

• Be Ready for Collaboration: The case discussion is collaborative; be open to discussing alternatives and working through a problem with the interviewer.

Challenge Preparation:

• Anticipate Workflow Challenges: Be prepared to discuss how you would approach designing a specific, complex workflow within Docebo's platform, considering different user roles and AI integration.

• Content Strategy Scenarios: Expect questions about how you would establish or evolve a product language system, manage terminology, or ensure consistency across a large product.

• AI Interaction Design: Think about how you would design for user trust and understanding in AI-generated content scenarios.

📝 Enhancement Note: The interview process is rigorous and heavily weighted towards portfolio review and collaborative problem-solving, aligning with the operational nature of building scalable design systems and workflows. Candidates must demonstrate not just design skills but also strategic thinking and cross-functional collaboration prowess.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (or similar industry-standard tools). Proficiency in creating high-fidelity prototypes is essential for evaluating product behavior and language.

• Collaboration Platforms: Slack, Microsoft Teams, Jira, Confluence for communication, project management, and documentation.

• AI-Assisted Design Tools: Experience or willingness to learn and apply AI tools for research synthesis, language exploration, content generation, and quality review (e.g., Codex, or similar).

Analytics & Reporting:

• Product Analytics Tools: Tools like Amplitude, Mixpanel, or Google Analytics to understand user behavior, track feature adoption, and measure the impact of design changes.

• Data Visualization: Ability to interpret data and present findings clearly, potentially using tools like Tableau or Looker, though direct usage might be less critical than understanding data.

CRM & Automation:

• CRM (for context): While not directly managing a CRM, understanding how customer data informs product decisions is beneficial. Salesforce or similar platforms might be used internally.

• Localization Platforms (Preferred): Familiarity with tools like Lokalise, Phrase, or similar localization management systems is a plus for understanding translation workflows.

• Design System Tools: Experience with tools for managing design systems and component libraries (e.g., Zeroheight, Storybook for documentation).

📝 Enhancement Note: The role implies a modern tech stack, with a strong emphasis on design and collaboration tools. The "Bonus Points" section highlights specific tools and technologies (Lokalise, Codex) that would be advantageous, indicating the company's investment in advanced capabilities.

👥 Team Culture & Values

Operations Values:

• Trust by Default: Fostering an environment where team members are trusted to do their best work and make sound decisions, crucial for autonomous operations roles.

• Assume Positive Intent: Encouraging open communication and constructive feedback, assuming colleagues have good intentions, which is vital for effective cross-functional operations.

• Create Space for Different Perspectives: Valuing diverse viewpoints and ensuring all voices are heard, leading to more robust and inclusive product solutions.

• Data-Driven Approach: Emphasizing the use of evidence (customer feedback, product analytics) to inform decisions and measure the impact of operations and design initiatives.

• Efficiency & Scalability: A drive to build reusable systems, patterns, and practices that improve efficiency and enable scalability across the product.

Collaboration Style:

• Cross-Functional Integration: A collaborative style that actively partners with Product, Engineering, Research, and Localization to achieve shared goals. This involves proactive communication and understanding of different team needs.

• Process Improvement Culture: An openness to critiquing existing processes and systems (including design and content workflows) and actively seeking ways to optimize them.

• Knowledge Sharing: A culture that encourages sharing learnings, best practices, and insights across teams, fostering continuous improvement and collective growth.

📝 Enhancement Note: The "Docebo Heart" values are central to the company's culture and directly influence how operations and design teams collaborate. Candidates should demonstrate alignment with these principles, particularly in how they approach teamwork, problem-solving, and decision-making in a distributed and hybrid environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity Management: Navigating and defining solutions for complex, ill-defined product problems that require integrating multiple disciplines (workflow, language, AI).

• System Building at Scale: Developing and maintaining a robust language system that scales across a large enterprise product, considering diverse user needs and localization requirements.

• Influencing Cross-Functionally: Gaining buy-in and alignment from various stakeholders (Product, Engineering, Marketing, Localization) on design and language strategies without becoming a bottleneck.

• AI Integration Complexity: Designing user experiences for AI features that are trustworthy, understandable, and controllable, especially in sensitive enterprise contexts.

• Balancing Craft & Operations: Maintaining high design quality while building scalable systems and processes that support efficient product development and localization.

Learning & Development Opportunities:

• AI in Design: Deepen expertise in leveraging AI tools and designing for AI-powered product features.

• Global Product Language: Develop advanced skills in creating consistent, inclusive, and localized product language for a global user base.

• Design System Evolution: Contribute to and influence the evolution of a mature enterprise design system.

• Leadership & Mentorship: Gain experience in mentoring junior designers and leading strategic initiatives within product design.

• Industry Trends: Stay at the forefront of advancements in content design, UX writing, AI, and enterprise SaaS.

📝 Enhancement Note: The challenges presented are typical for senior roles focused on systemic impact. Docebo's environment offers significant opportunities for growth by tackling these challenges head-on, particularly in the rapidly evolving areas of AI and global product language.

💡 Interview Preparation

Strategy Questions:

• Problem Framing: "Describe a time you had to frame an ambiguous product problem involving workflow and language. How did you define the problem, what methods did you use, and what was the outcome?" Preparation: Use the STAR method, focusing on your process, evidence used, and measurable impact.

• System Design: "Walk us through a project where you contributed to or created a product-language system, terminology framework, or content pattern library. What was its purpose, how did you design it, and how was it adopted?" Preparation: Highlight your ability to create reusable assets and demonstrate their value.

• AI Interaction Design: "How would you approach designing the user experience for an AI feature that generates content for administrators? Consider aspects like user trust, editing capabilities, and potential errors." Preparation: Focus on user control, transparency, and error handling.

Company & Culture Questions:

• Values Alignment: "How do you embody Docebo's values of 'trust by default,' 'assume positive intent,' and 'create space for different perspectives' in your work?" Preparation: Prepare specific examples of how you've demonstrated these values in past roles.

• Collaboration: "Describe a situation where you had to influence Product Management or Engineering on a design or language decision. How did you navigate disagreements and achieve alignment?" Preparation: Showcase your stakeholder management and communication skills.

• Impact Measurement: "How do you measure the success of your product design and content strategy work? Provide an example of a time you used data to demonstrate impact." Preparation: Focus on defining clear outcomes and using relevant metrics.

Portfolio Presentation Strategy:

• Curate Selectively: Choose 2-3 projects that best showcase your "superpowers" and address the core responsibilities. Ensure they highlight complex workflows and system thinking.

• Emphasize Process & Rationale: Clearly articulate the problem, your discovery process, design decisions, trade-offs considered, and the resulting impact.

• Showcase Systems Thinking: Explicitly point out how your work contributed to reusable patterns, guidelines, or language systems.

• Integrate Operations Elements: Discuss how you considered localization readiness, accessibility, technical constraints, and AI integration in your projects.

• Be Ready for Collaboration: Treat the case discussion as a collaborative problem-solving session. Be open to feedback and discussion.

📝 Enhancement Note: The interview process is designed to assess not just design skill but also strategic thinking, operational execution, and collaborative aptitude. Candidates need to demonstrate a holistic approach to product design that includes system thinking and cross-functional impact.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to highlight complex workflow ownership, system design contributions, and measurable impact. Emphasize projects that demonstrate your content design and language systems expertise.

• Resume Optimization: Ensure your resume clearly articulates your experience in product design, content strategy, and working with cross-functional teams. Use keywords from the job description, such as "Content Design," "Language Systems," "Information Architecture," "AI-assisted design," and "Localization readiness."

• Interview Preparation: Thoroughly review the "Superpowers" and "Interview Process" sections. Prepare specific examples using the STAR method for behavioral questions and be ready to discuss your portfolio projects in detail. Practice articulating your design process and rationale.

• Company Research: Familiarize yourself with Docebo's AI-powered learning platform, its mission, and its "Docebo Heart" values. Understand how your role contributes to the company's overall strategy.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.