Senior Product Designer, AI

📍 Job Overview

Job Title: Senior Product Designer, AI

Company: Jobgether (Partnering with a client company)

Location: Canada

Job Type: Full-time

Category: Product Design / AI Product Design

Date Posted: 2026-09-01

Experience Level: 6+ Years (Senior Level)

Remote Status: Fully Remote

🚀 Role Summary

• Spearhead the end-to-end design of next-generation AI-first product experiences for industrial and frontline teams.

• Transform complex operational workflows across web and mobile into intuitive, intelligent, and user-centered solutions.

• Collaborate closely with Product Managers, Engineers, and fellow designers in a fast-paced, high-impact environment.

• Leverage AI tools within the design workflow to enhance exploration, productivity, and output quality.

📝 Enhancement Note: This role is a Senior Product Designer position focused on AI products, specifically targeting B2B SaaS or enterprise software for industrial and frontline users. The "AI-first" designation implies a deep integration of artificial intelligence into the core functionality and user experience of the product, requiring designers to think about how AI capabilities augment human tasks and decision-making. The remote nature within Canada suggests a need for strong asynchronous communication skills and self-discipline.

📈 Primary Responsibilities

• Own the complete design lifecycle for AI-powered product features, from initial problem discovery and user research through high-fidelity mockups and detailed delivery specifications.

• Design intuitive and efficient AI-driven user experiences tailored for frontline professionals (e.g., maintenance technicians, facility managers), simplifying complex operational tasks.

• Translate ambiguous and rapidly evolving AI problem spaces into clear, actionable, and testable user-centered design solutions.

• Partner effectively with Product Managers and Engineering teams throughout the entire product development lifecycle, ensuring alignment between user needs, business goals, and technical feasibility.

• Apply robust product thinking to identify strategic opportunities where AI can significantly enhance workflows without adding unnecessary complexity or cognitive load.

• Develop and maintain a systems-oriented design approach, focusing on creating reusable design patterns, scalable components, and consistent experiences across the product ecosystem.

• Contribute to the evolution and maintenance of the design system, upholding high standards for usability, scalability, visual craft, and overall design quality.

• Clearly articulate and present design concepts, strategies, and decisions to cross-functional stakeholders, providing thorough rationale and incorporating constructive feedback.

• Act as a design quality advocate, championing exceptional user experiences and best practices throughout the product development process.

• Integrate AI tools and technologies into personal design workflows to accelerate ideation, boost productivity, and elevate the quality and effectiveness of design output.

📝 Enhancement Note: The responsibilities emphasize a full-stack design ownership, from strategy to execution, with a strong focus on AI integration for practical, B2B use cases. The need to translate "ambiguous and rapidly evolving AI problem spaces" highlights the innovative and sometimes experimental nature of the work. The emphasis on "systems-oriented design" and "design systems" is crucial for scalability in enterprise software.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Design (e.g., Interaction Design, Graphic Design, Human-Computer Interaction) or a related field, or equivalent practical experience, is highly recommended.

Experience:

• Minimum of 6 years of professional product design experience.

• Proven track record in B2B SaaS, enterprise software, or complex digital platforms.

• Demonstrated hands-on experience designing AI-powered product experiences (e.g., natural language interfaces, AI agents, predictive insights). Required Skills:

• Exceptional visual and interaction design skills, with a keen eye for typography, spacing, color, layout, motion, and overall interface aesthetics.

• Strong product thinking capabilities, with the ability to transform complex or ambiguous problems into simple, intuitive, and effective user experiences.

• Systems-oriented mindset, adept at identifying design patterns, creating reusable solutions, and understanding how design decisions scale across a product.

• Proficiency in designing for both web and mobile platforms.

• Demonstrated experience in designing AI-powered product features, such as natural language interfaces, AI agents, predictive insights, or other intelligent product capabilities.

• Strong collaboration skills, with proven experience working closely with product management and engineering teams in fast-moving environments.

• Excellent communication, storytelling, and presentation abilities, with confidence in explaining design rationale and influencing cross-functional stakeholders.

• Ability to navigate ambiguity, make informed design decisions with incomplete information, and balance user needs with technical constraints and business objectives.

• Demonstrated interest and practical experience in using AI tools to enhance the design process, improve creative exploration, and increase productivity.

• Expert-level spoken and written English proficiency for effective cross-team collaboration and executive-level presentations. Preferred Skills:

• Experience with design systems, including contribution to or management of design system components.

• Familiarity with user research methodologies and the ability to conduct or leverage user research to inform design decisions.

• Experience designing for industrial or frontline operational environments.

• Prototyping skills using tools like Figma, Sketch, Adobe XD, or similar.

📝 Enhancement Note: The requirement for 6+ years of experience and specific AI design experience indicates a need for a senior-level candidate capable of strategic contributions. The emphasis on "navigating ambiguity" and "making thoughtful design decisions with incomplete information" is a key indicator for senior roles in innovative fields like AI product design. The explicit mention of using AI tools in their own workflow is a unique differentiator for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate end-to-end ownership of at least one significant AI-powered product feature or experience.

• Showcase case studies that highlight problem framing, user research (even if inferred or based on existing knowledge), ideation, iteration, and final design solutions for complex operational workflows.

• Include examples of designing for both web and mobile interfaces, clearly articulating design choices and their impact.

• Present work that demonstrates a strong understanding of interaction design principles and visual design craft.

• Provide evidence of systems thinking, such as contributions to a design system or the creation of reusable components.

• Clearly articulate the role of AI in the presented projects and how it enhanced the user experience or solved a business problem. Process Documentation:

• Case studies should detail the design process followed, including phases like discovery, definition, ideation, prototyping, testing, and implementation.

• Highlight how user needs, business objectives, and technical constraints were balanced throughout the process.

• If applicable, include documentation or discussion of how AI tools were leveraged to streamline or enhance specific stages of the design process.

• Show evidence of collaboration with product managers and engineers, illustrating how feedback was incorporated.

📝 Enhancement Note: For a Senior Product Designer role, especially in AI, the portfolio is critical. It needs to go beyond just showcasing final UI screens. Candidates should be prepared to walk through their thought process, problem-solving approach, and the impact of their design decisions, particularly how AI was integrated to solve user problems in an enterprise context. The emphasis on "systems-oriented mindset" means portfolio pieces should ideally show how designs fit into a larger ecosystem.

💵 Compensation & Benefits

Salary Range: Given the Senior Product Designer, AI title, 6+ years of experience, and the fully remote Canadian location, a competitive salary range is expected. Based on industry benchmarks and cost of living across Canada for senior tech roles, an estimated annual salary range would be CAD $120,000 - $180,000. This range can vary significantly based on specific experience, the hiring company's compensation philosophy, and the precise location within Canada.

Benefits:

• Comprehensive employee benefits package, including health insurance, retirement programs, and paid time off, as provided by the partner company.

• Access to healthcare services and other benefits designed to support overall employee wellbeing.

• Retirement benefits to facilitate long-term financial planning.

• Generous paid time off and time-away programs to promote a sustainable work-life balance.

• Opportunities to work on innovative AI-powered products with real-world industrial and frontline applications.

• A collaborative and inclusive work environment that values design quality, creativity, and diverse perspectives.

• Significant ownership and visibility in a role working closely with product, engineering, and leadership teams.

• The chance to contribute to the evolution of connected operations and shape the future of physical asset management.

Working Hours: Standard full-time working hours are typically 40 hours per week. While the role is remote, adherence to a consistent work schedule will be expected to facilitate collaboration with teams across different time zones within Canada. Flexibility may be offered, but core collaboration hours will need to be met.

📝 Enhancement Note: The salary estimate is based on typical compensation for Senior Product Designers in Canada in the tech sector, particularly those with AI specialization. Benefits are listed generally but highlight the comprehensive nature expected for a full-time remote role. The "partner company" managing benefits means candidates should inquire directly about the specifics during the hiring process.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software (specifically B2B SaaS, AI, Enterprise Solutions)

Company Size: The description implies a growing company or a well-established one with dedicated product teams, likely mid-sized to large, given the specialization in AI and enterprise solutions. The use of "partner company" suggests the client company is likely a tech firm.

Founded: The founding date is not specified, but the focus on AI and modern SaaS indicates it's likely a relatively modern company or one that has significantly adapted to current technological trends.

Team Structure:

• The design team likely consists of multiple designers, potentially with specializations (e.g., UX Research, UI Design, Product Design). This Senior role suggests a lead or key individual contributor position within the design function.

• The role reports to a design leadership position (e.g., Design Lead, Head of Product Design, VP of Design).

• Close collaboration is expected with Product Management and Engineering teams, indicating a cross-functional, agile development environment. Methodology:

• Data Analysis & Insights: Design decisions are expected to be informed by user data, analytics, and AI insights, driving an iterative and data-driven approach.

• Workflow Planning & Optimization: A core focus is on optimizing complex operational workflows through intelligent design.

• Automation & Efficiency: The use of AI and design systems points towards a strong emphasis on automation and efficiency in both product development and the end-user experience.

Company Website: https://jobgether.com/ (Jobgether's platform) and the partner company's website (not specified, but implied by the role).

📝 Enhancement Note: The description emphasizes a modern, collaborative tech environment focused on innovation in AI and enterprise solutions. The "partner company" aspect means the specific culture will be that of the client, not Jobgether itself, which acts as a facilitator. The focus on AI, industrial use cases, and B2B SaaS suggests a culture that values problem-solving, data-driven decision-making, and practical application of technology.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role, indicating a significant level of autonomy, strategic input, and responsibility. The designer is expected to lead design efforts for AI features, mentor junior designers (potentially), and influence product strategy.

Reporting Structure: The Senior Product Designer will report to a design lead or manager within the product organization. They will work closely with Product Managers and Engineering Leads, acting as a key partner in product development.

Operations Impact: The designer's work will directly impact the efficiency, decision-making capabilities, and overall productivity of frontline industrial teams. By creating intuitive AI-first experiences, the role contributes to increased operational effectiveness, reduced errors, and better asset management, ultimately driving business value for clients.

Growth Opportunities:

• Specialization: Deepen expertise in AI product design, user experience for industrial applications, or advanced design systems.

• Leadership: Transition into a Design Lead or Manager role, overseeing design projects and teams.

• Strategic Influence: Play a more significant role in product strategy, roadmap planning, and defining the vision for AI-powered solutions.

• Skill Development: Continuous learning in emerging AI technologies, design methodologies, and user research techniques.

• Industry Impact: Contribute to shaping the future of connected operations and how physical assets are managed.

📝 Enhancement Note: This senior role offers significant opportunities for career advancement. The "AI-first" focus positions the designer at the forefront of technological innovation, which is highly valuable. Growth paths likely involve increasing strategic influence, technical depth in AI design, or moving into leadership.

🌐 Work Environment

Office Type: Fully Remote. This implies a distributed workforce with no central physical office for this specific role.

Office Location(s): Canada. This indicates that candidates must be legally authorized to work and reside in Canada.

Workspace Context:

• Collaborative Environment: Despite being remote, the culture emphasizes collaboration. This will likely be facilitated through virtual tools (e.g., Slack, Zoom, Miro, Figma).

• Tools & Technology: Access to modern design tools, collaboration platforms, and potentially AI design assistants will be provided or expected.

• Team Interaction: Opportunities for regular interaction with design, product, and engineering teams through virtual meetings, workshops, and asynchronous communication channels.

Work Schedule: A standard 40-hour work week is typical. While remote work offers flexibility, candidates must be available during core business hours for collaboration with Canadian-based teams and potentially other stakeholders across North America. Asynchronous work practices will be crucial.

📝 Enhancement Note: The fully remote nature within Canada necessitates strong self-management, excellent written and verbal communication skills, and comfort with virtual collaboration tools. Candidates should be prepared for a dynamic work environment where communication and documentation are key to success.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely conducted by Jobgether's AI-powered matching process to assess core requirements, followed by a human review.

• Hiring Manager/Team Interview: A conversation with the hiring manager or key team members to assess experience, design philosophy, and cultural fit.

• Portfolio Presentation: A dedicated session where the candidate presents their portfolio, focusing on relevant case studies, particularly those involving AI and complex workflows. Expect to discuss problem-solving, design process, rationale, and impact.

• Design Challenge/Exercise: Potentially a take-home assignment or a live design exercise to evaluate problem-solving skills, design execution, and communication under pressure. This might involve a hypothetical AI product scenario.

• Final Round: Discussions with senior leadership or cross-functional stakeholders to finalize the decision.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 strong case studies that best highlight your experience with AI product design, B2B SaaS, complex workflows, and your senior-level contributions.

• Focus on the "Why" and "How": Clearly articulate the problem, your design process, the rationale behind your decisions (especially AI integration), and the measurable impact of your work.

• Showcase AI Integration: Specifically detail how AI was used, the challenges it presented, and how you designed for it effectively.

• Demonstrate Systems Thinking: Highlight how your designs fit into a larger product ecosystem or design system.

• Practice Your Narrative: Be prepared to tell a compelling story about your projects, your role, and the outcomes. Practice presenting your work concisely and engagingly.

• Prepare for Questions: Anticipate questions about your design process, handling ambiguity, collaboration with engineers, and your perspective on AI in design.

Challenge Preparation:

• Understand the Context: If given a design challenge, ensure you fully grasp the problem space, target users, and business objectives.

• Prioritize and Scope: For timed exercises, focus on demonstrating your thought process and core design skills rather than striving for pixel-perfect polish.

• Communicate Assumptions: Clearly state any assumptions you make regarding user needs, technical constraints, or business goals.

• Articulate Your Process: Be ready to explain your approach, from initial understanding to proposed solution, even if incomplete.

📝 Enhancement Note: The application process, facilitated by Jobgether, emphasizes efficiency. The portfolio review will be a critical component, requiring candidates to demonstrate not just design skills but also strategic thinking, AI product experience, and the ability to work in a complex enterprise B2B environment. The "AI-first" aspect means specific questions about designing for AI will likely be prominent.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop, XD), InVision, or similar industry-standard tools.

• Collaboration: Slack, Microsoft Teams, Zoom, Google Workspace.

• Project Management: Jira, Asana, Trello, or similar.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and inform design decisions.

• Experience interpreting data and using insights to drive design iterations. CRM & Automation:

• While not a direct CRM role, understanding how design impacts user journeys within CRM or other enterprise systems is beneficial.

• Familiarity with workflow automation concepts, especially as they relate to AI-driven processes. AI Tools (for Design Workflow):

• Experience with AI-assisted design tools (e.g., Midjourney, Stable Diffusion for ideation, AI-powered content generation tools, AI plugins within design software) is highly valued.

📝 Enhancement Note: Proficiency in core design tools like Figma is almost certainly expected. The specific mention of using AI tools in the design workflow is a key differentiator, suggesting the company embraces cutting-edge technology and expects its designers to do the same. Understanding how design integrates with analytics and broader enterprise systems is also important.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving the needs of frontline industrial users.

• Innovation & AI Integration: Embracing cutting-edge AI technologies to create intelligent and transformative product experiences.

• Design Excellence: Upholding high standards for visual design, interaction design, and overall user experience quality.

• Collaboration: Fostering a strong, cross-functional partnership between design, product, and engineering.

• Data-Driven Decision-Making: Utilizing data and insights to inform design choices and measure impact.

• Efficiency & Scalability: Designing solutions that are not only effective but also efficient and scalable across the product ecosystem.

Collaboration Style:

• Agile & Iterative: Working in fast-paced, agile sprints, with continuous feedback loops and iterative design improvements.

• Cross-Functional Partnership: Regular interaction and close collaboration with Product Managers and Engineers, ensuring shared understanding and alignment.

• Open Communication: Encouraging transparent communication, constructive feedback, and knowledge sharing across teams.

• Remote-First Mindset: Adapting collaboration strategies to effectively function in a distributed, remote environment.

📝 Enhancement Note: The company culture likely values innovation, technical proficiency, and a collaborative spirit. For a designer working on AI products for industrial users, empathy for the end-user and a pragmatic approach to technology are crucial. The emphasis on "design quality" and "AI integration" suggests a forward-thinking and detail-oriented team.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating the evolving landscape of AI and translating nascent AI capabilities into concrete, user-friendly product features.

• User Adoption of AI: Designing AI experiences that users trust, understand, and readily adopt, overcoming potential skepticism or complexity.

• Balancing Innovation with Usability: Ensuring that cutting-edge AI features enhance rather than complicate existing operational workflows.

• Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote setting.

• Cross-Functional Alignment: Ensuring consistent understanding and buy-in on design strategy and execution across diverse teams.

Learning & Development Opportunities:

• AI Design Specialization: Becoming a leader in designing AI-first products for complex enterprise environments.

• Industry Trends: Staying abreast of the latest advancements in AI, machine learning, and their application in product design.

• Design System Mastery: Contributing to and leveraging sophisticated design systems for scalable product development.

• Leadership Skills: Developing mentorship and leadership capabilities through senior-level contributions.

• Industry Impact: Gaining experience in a sector (industrial operations) with significant potential for technological disruption and improvement.

📝 Enhancement Note: The challenges are inherent to working with new technology like AI and in a remote setting. The growth opportunities are substantial, positioning the designer for leadership and specialization in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered product feature. What was the problem, your approach, and the outcome?" (Focus on AI integration, problem-solving, and impact).

• "How do you approach designing for ambiguity, especially in rapidly evolving fields like AI?" (Demonstrate your process for navigating uncertainty).

• "Walk us through a complex operational workflow you've designed for. How did you simplify it, and what role did AI play (or could it have played)?" (Showcase your understanding of B2B workflows and AI potential).

• "How do you ensure your designs are both innovative and practical for frontline users?" (Balance of creativity and user needs).

• "What are your thoughts on the ethical implications of AI in product design, particularly for enterprise applications?" (Demonstrate critical thinking). Company & Culture Questions:

• "Why are you interested in designing AI products for industrial/frontline teams?" (Show genuine interest and understanding of the domain).

• "How do you contribute to a collaborative remote team environment?" (Highlight your remote work skills).

• "What are your favorite AI tools for design, and how do you use them?" (Address the specific requirement).

• "How do you stay updated on AI trends and their impact on product design?" (Demonstrate continuous learning). Portfolio Presentation Strategy:

• Structure Your Narrative: Begin with the business/user problem, outline your design process, detail your solutions (especially AI aspects), discuss challenges and learnings, and conclude with the impact and outcomes.

• Highlight AI Specifics: For each relevant project, clearly explain the AI component, the user benefit, and your design rationale for integrating it.

• Showcase Systems Thinking: If applicable, explain how your designs integrate with or contribute to a larger design system or product architecture.

• Be Ready for Deep Dives: Prepare to answer detailed questions about your decisions, trade-offs, and collaboration with engineering/product.

• Practice Your Delivery: Rehearse your presentation to ensure it's concise, engaging, and fits within the allotted time.

📝 Enhancement Note: Interview preparation should heavily focus on AI product design experience, ability to handle complex B2B/enterprise challenges, and remote collaboration skills. Candidates should be ready to discuss specific AI tools and demonstrate strategic thinking beyond just UI/UX execution.

📌 Application Steps

To apply for this Senior Product Designer, AI position:

• Submit your application through the provided Jobgether link.

• Portfolio Customization: Tailor your portfolio to prominently feature 2-3 case studies demonstrating your experience with AI product design, B2B SaaS, complex workflows, and senior-level contributions. Ensure these highlight your process, rationale, and impact.

• Resume Optimization: Update your resume to clearly articulate your 6+ years of experience, specific AI design accomplishments, and proficiency with relevant tools and methodologies. Use keywords from the job description.

• Interview Preparation: Research Jobgether and the partner company. Prepare to discuss your design process, your approach to AI in design, and how you handle ambiguity and collaboration in a remote setting. Practice presenting your portfolio.

• Company Research: Understand the partner company's mission, products, and target market (industrial/frontline teams) to tailor your responses and demonstrate genuine interest.

⚠️ 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.