Product Designer, AI Experiences

📍 Job Overview

Job Title: Product Designer, AI Experiences

Company: Dayforce

Location: Canada

Job Type: Full-Time

Category: Product Design / AI Experience Design

Date Posted: August 19, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Design and deliver cutting-edge AI-powered product experiences for enterprise workflows within the Human Capital Management (HCM) domain.

• Shape the interaction models and user journeys for seamless human-AI collaboration, focusing on asking, reviewing, refining, and automating AI-assisted actions.

• Develop foundational AI experience architecture and reusable design patterns to empower other product teams in integrating AI capabilities across the Dayforce platform.

• Collaborate closely with Product Management, Engineering, and UX Research to translate complex technical AI capabilities into intuitive, explainable, and trustworthy user experiences.

• Contribute to the evolution of the Dayforce Design System by defining how AI should look, speak, behave, and scale consistently across product areas, emphasizing responsible AI principles.

📝 Enhancement Note: The role is specifically focused on the "AI Experience" within an enterprise SaaS context, requiring a blend of product design, interaction design, and a deep understanding of AI's practical application in business workflows, particularly in HR and workforce management. The emphasis on creating reusable patterns and foundational architecture suggests a senior-level individual contributor role with significant platform-wide impact.

📈 Primary Responsibilities

• Design end-to-end AI-powered product experiences across Dayforce, with a strategic focus on enterprise-related workflows and human-AI collaboration.

• Define interaction models for how users will ask, review, refine, approve, automate, escalate, and recover from AI-assisted actions, ensuring clarity and control.

• Partner with Product Managers and Engineers to frame ambiguous opportunities, define requirements, structure complex initiatives, and make informed trade-offs regarding usability, feasibility, trust, and scale.

• Conduct user discovery, concept testing, and usability testing (with UX Research support) to gain insights into user needs, mental models, risks, and adoption barriers related to AI features.

• Create tangible prototypes and internal demonstrations to effectively communicate emerging AI capabilities to leadership, engineering, product teams, and customer stakeholders.

• Develop and document reusable design patterns, heuristics, and best practices for agentic experiences, including routing, orchestration, evaluator/optimizer loops, automation, observability, and human-in-the-loop controls.

• Translate complex technical platform capabilities into approachable user experiences, guiding users on configuring, monitoring, troubleshooting, and trusting AI-driven workflows.

• Design for critical responsible AI principles such as trust, transparency, explainability, user control, permissions, privacy, and ethical considerations within regulated workforce scenarios.

• Contribute to and influence the Dayforce Design System by defining standards for AI's visual representation, conversational tone, behavioral patterns, error handling, and scalability.

• Facilitate AI design workshops, critiques, and working sessions to identify high-value AI opportunities and promote the adoption of shared AI patterns across product pods.

• Present design work, rationale, risks, open questions, and expected customer value clearly and persuasively to executives and cross-functional stakeholders.

• Support the recruitment process by participating in candidate outreach, portfolio reviews, and interviews for future team members.

• Help establish the foundational AI experience architecture for Dayforce, moving beyond single feature areas to create a cohesive AI ecosystem.

• Design reusable patterns that enable other product teams to effectively integrate Assistants, Agents, and AI-powered workflows into their respective domains.

• Balance innovation with responsible design practices, ensuring transparency, control, observability, permissions, escalation, and user trust are paramount.

• Operate in a dual-mode capacity: building core AI experiences while simultaneously enabling other teams to leverage AI guidance within their specialized domains.

• Contribute to the evolution of the AI Workspace from a collaboration layer into a robust platform ecosystem comprising modular apps, agents, and extensible workflows.

• Adapt to a fast-paced environment where priorities may shift as the AI roadmap matures and new opportunities emerge.

📝 Enhancement Note: This role requires a designer who can operate at both strategic and tactical levels, influencing the overall AI product vision while also executing detailed design work. The emphasis on "reusable patterns" and "foundational architecture" highlights the need for a systems-oriented thinker who can create scalable solutions. The mention of "AI Workspace" evolving into a "platform ecosystem" indicates a forward-looking role shaping the future of Dayforce's AI offerings.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design (e.g., Interaction Design, HCI, Graphic Design), Computer Science, or a related field is typically expected for this level of role. Equivalent practical experience will also be considered.

Experience:

• Proven experience (typically 5-10 years, as per AI-derived level) in shipping successful enterprise SaaS products or designing complex workflow experiences.

• Demonstrated experience with AI, automation, developer tools, analytics, workflow builders, platform ecosystems, or internal tools is a significant plus.

• Experience in Human Capital Management (HCM), HR, payroll, workforce management, or compliance domains is highly advantageous. Required Skills:

• Interaction Design: Expert proficiency in designing intuitive and effective user interactions for complex systems.

• Systems Thinking: Advanced proficiency in understanding and designing how individual user moments connect to broader product architecture, design systems, data flows, permissions, and long-term scalability.

• Prototyping: Advanced proficiency in creating interactive prototypes to visualize concepts, test interactions, and communicate design solutions.

• User Research: Proficient ability to conduct and leverage user research (discovery, concept testing, usability testing) to inform design decisions.

• Information Architecture: Proficient understanding of organizing and structuring information within complex applications for optimal user navigation and comprehension.

• UX Writing/Conversation Design: Proficient skills in crafting clear, concise, and effective copy for user interfaces and conversational AI interactions.

• Visual Design: Proficient ability to create aesthetically pleasing and functional visual interfaces that align with brand and design system standards.

• Conducting User Research: Proficient ability to plan, execute, and analyze user research studies.

• Research Insights and Analysis: Proficient ability to synthesize research findings into actionable design recommendations and strategic insights.

• Front-end Development: Proficient understanding of front-end development principles and their impact on design implementation, enabling effective collaboration with engineers.

• Enterprise SaaS Product Design: Proven track record of designing and shipping successful products within the enterprise SaaS landscape.

• AI Workflow Design: Experience in conceptualizing and designing user experiences for AI-driven workflows.

• Automation Design: Familiarity with designing automated processes and user interactions for automated systems.

• Design Systems: Experience contributing to or working within established design systems, ensuring consistency and scalability.

• Stakeholder Management: Excellent communication, facilitation, and presentation skills to align Design, Product, Engineering, and other stakeholders.

• Responsible AI Practices: Deep understanding and practical application of responsible AI principles, including transparency, bias mitigation, explainability, consent, escalation, and user control.

• Product Strategy: Ability to connect design decisions to customer value, trust, and measurable business outcomes.

Preferred Skills:

• Experience designing AI-powered workflows, agentic experiences, or human + AI interaction models.

• Experience creating reusable design patterns that enable other product teams to integrate AI capabilities.

• Experience applying responsible AI principles, including transparency, explainability, user control, permissions, and human-in-the-loop practices.

• Familiarity with accessibility guidelines and inclusive design practices.

• Curiosity about AI and a willingness to experiment with new tools and methods.

📝 Enhancement Note: The "expert in one, advanced in two, and proficient in two" framework for a specific list of skills indicates a need for deep specialization in a core area like Interaction Design or Systems Thinking, with strong capabilities across several others. This is a common expectation for senior product designers working on complex platforms.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase 2-3 significant projects demonstrating your end-to-end product design process, ideally within enterprise SaaS or complex workflow environments.

• For each project, clearly articulate the problem, your role and responsibilities, the design process followed, key decisions made, and the resulting outcomes and impact.

• Include examples of how you've approached ambiguity, systems thinking, and collaboration with cross-functional teams (Product, Engineering, Research).

• Demonstrate proficiency in interaction design, information architecture, and prototyping, with a focus on solving complex user problems.

• Highlight any experience with AI, automation, or platform design, showcasing how you've translated technical capabilities into user value. Process Documentation:

• Clearly document the discovery phase, including user research methodologies employed and key insights derived.

• Illustrate the ideation and concept development process, showcasing how you explored different solutions and made design trade-offs.

• Detail the interaction design and prototyping process, including specific tools used and how prototypes were validated.

• Provide examples of how you've contributed to or utilized design systems and reusable patterns.

• Showcase how you've designed for responsible AI principles (transparency, control, explainability, etc.) within your projects.

• Demonstrate how you've measured the impact of your designs, using metrics related to user adoption, efficiency, trust, or business outcomes.

📝 Enhancement Note: For a role focused on AI experiences and foundational architecture, portfolios should emphasize systems thinking, the ability to design for complex, multi-stakeholder workflows, and a demonstrated understanding of responsible AI principles. Case studies showing how the designer navigated ambiguity and influenced product direction will be highly valued.

💵 Compensation & Benefits

Salary Range: CAD $87,800 - $137,200 annually.

📝 Enhancement Note: This salary range is provided for Canada. Based on the provided data, the minimum is $87,800 CAD and the maximum is $137,200 CAD per year. This range is typical for experienced Product Designers in Canada, with the higher end reflecting specialization in AI and enterprise SaaS. Factors such as specific city within Canada (e.g., Toronto vs. a smaller city), candidate's exact years of experience, and specific skill set alignment can influence the final offer.

Benefits:

• Excellent time away from work programs (e.g., generous PTO, holidays).

• Comprehensive wellness initiatives (e.g., health and well-being programs, mental health support).

• Competitive pay and benefits package.

• Opportunities for personal and professional growth.

• Charity programs and community impact initiatives (e.g., volunteer days, Dayforce Cares).

Working Hours: 40 hours per week.

📝 Enhancement Note: The description mentions "flexibility" within the role due to the evolving AI roadmap, but the standard working hours are listed as 40 per week. The benefits listed are standard for a large tech company, with a specific mention of community impact, which can be a significant draw for candidates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Human Capital Management (HCM) Software / Enterprise Software. Dayforce operates in a highly competitive market, providing cloud-based solutions that help organizations manage their workforce efficiently and compliantly. This context means a strong emphasis on data security, privacy, regulatory compliance, and delivering tangible business value.

Company Size: Dayforce is a global company with operations across North America, EMEA, and APJ. While the exact employee count isn't provided in the raw input, the description "global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region" suggests a large enterprise, likely with thousands of employees. This scale implies structured processes, cross-functional teams, and opportunities for impact at a broad level.

Founded: Dayforce was founded in 1994 (company headquarters in Toronto, Ontario). The company has a long history in payroll and HR technology, evolving into a comprehensive cloud HCM platform. This longevity suggests stability, a deep understanding of the HCM market, and a commitment to innovation.

Team Structure:

• AI Experience Team: This team is positioned at the intersection of AI engineering, product strategy, design systems, and experience design. It's a specialized unit focused on translating advanced AI capabilities into user-centric product features.

• Cross-functional Collaboration: Product Designers are expected to work very closely with Product Managers, Engineers, UX Researchers, Design System partners, and other teams across the Dayforce ecosystem. This indicates a highly collaborative environment where design is integrated early and often in the product development lifecycle.

• Reporting Structure: While not explicitly detailed, roles like this typically report into a Design leadership structure (e.g., Head of Product Design, Director of UX) within a Product or Technology organization. The AI Experience team might be a dedicated initiative team with strong ties to core product development.

Methodology:

• Data-Driven Design: The company's emphasis on "customer value, trust, and business outcomes" suggests a data-driven approach to design, where decisions are informed by user research, analytics, and impact measurement.

• Agile Development: Given it's a SaaS company, it's highly probable that Agile methodologies are used, requiring designers to be comfortable with iterative development, rapid prototyping, and adapting to changing priorities.

• Design Systems: The explicit mention of a Design System indicates a commitment to consistency, efficiency, and scalability in product development.

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

📝 Enhancement Note: The company's industry (HCM) is critical. It means the AI experiences designed will likely deal with sensitive employee data, compliance regulations, and critical business processes. This adds a layer of complexity and responsibility to the design work, requiring a strong focus on trust, security, and explainability.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a senior Product Designer, specifically focused on AI Experiences. It implies a high level of autonomy, strategic influence, and the ability to tackle complex, ambiguous problems. The expectation to "help define foundational AI experience architecture" and "create reusable patterns" points to a role that shapes the future direction of AI within Dayforce, rather than just executing on defined features. This is a critical individual contributor role with significant impact potential.

Reporting Structure: The Product Designer will likely report into a Design leadership role (e.g., Director of Product Design, Lead Product Designer) within the AI Experience team or a broader product organization. They will work closely with Product Managers and Engineering leads for specific AI initiatives.

Operations Impact: The Product Designer's impact will be substantial, directly influencing how users interact with AI across the Dayforce platform. This includes driving efficiency for HR professionals and employees, enhancing decision-making through AI insights, and ensuring the responsible and trustworthy adoption of AI technologies. By creating reusable patterns and foundational architecture, their work will amplify across multiple product areas, impacting the overall user experience and the company's competitive positioning in AI-driven HCM.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in designing for AI, including generative AI, agentic systems, and human-AI collaboration, becoming a subject matter expert within Dayforce and the broader industry.

• Platform Design Leadership: Take on greater responsibility for defining and evolving the AI experience architecture and design system components, influencing product strategy at a higher level.

• Mentorship and Team Building: Mentor junior designers, lead design initiatives, and potentially contribute to growing the AI design function within Dayforce.

• Cross-functional Influence: Develop strong partnerships with Product Management and Engineering, gaining influence over product roadmaps and technical implementations related to AI.

• Industry Recognition: Contribute to thought leadership through internal presentations, external talks, or publications on AI design in enterprise software.

📝 Enhancement Note: The "AI Experiences" focus and the mandate to build "foundational architecture" and "reusable patterns" suggest this is a role for an experienced designer looking to shape a core, emerging technology area within a large enterprise. Growth opportunities will likely involve increasing strategic influence and technical design depth in AI.

🌐 Work Environment

Office Type: The role is designated as "On-site." This implies working from a Dayforce office location in Canada. The company has headquarters in Toronto, Ontario, and Minneapolis, Minnesota, but specific office locations for this role are not detailed.

Office Location(s): Canada. Given the company's presence, this could be in major tech hubs within Canada, such as Toronto, Vancouver, or Montreal, though specific details are not provided.

Workspace Context:

• Collaborative Environment: As an on-site role, expect a dynamic office environment that encourages in-person collaboration with Product Managers, Engineers, UX Researchers, and Design System partners.

• Tools and Technology: Access to standard design software, prototyping tools, and potentially specialized AI development tools or sandboxes. The company likely provides a robust technology stack to support design and development efforts.

• Team Interaction: Regular opportunities for design critiques, workshops, brainstorming sessions, and informal knowledge sharing with colleagues, fostering a strong sense of team and shared purpose in building AI experiences.

Work Schedule: The standard work schedule is 40 hours per week, as is typical for full-time roles. The emphasis on designing for complex, evolving AI roadmaps may necessitate flexibility at times, but the core schedule is defined.

📝 Enhancement Note: The "On-site" designation is important. It suggests the company values in-person collaboration for complex problem-solving, especially in a rapidly evolving field like AI design. Candidates should be prepared for a traditional office work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review your application and resume, focusing on relevant experience in enterprise SaaS, AI design, and product design methodologies.

• Portfolio Review: A key step where you will present your portfolio to a design lead or team. Be prepared to walk through 2-3 of your most relevant projects, detailing your process, decisions, and impact. Focus on projects that showcase your ability to handle ambiguity, systems thinking, and AI-related challenges.

• Design Challenge/Exercise: You may be given a design problem to solve, either as a take-home assignment or an in-interview exercise. This will assess your problem-solving skills, design thinking, and ability to articulate your approach.

• Behavioral and Situational Interviews: Expect questions assessing your collaboration skills, how you handle feedback, your approach to ambiguity, and your understanding of responsible AI principles. Questions about your experience with stakeholders and your ability to influence direction will also be common.

• Team/Hiring Manager Interviews: Further discussions to assess cultural fit, technical depth, and alignment with the team's goals and Dayforce's values.

Portfolio Review Tips:

• Curate Strategically: Select projects that best demonstrate your skills in AI experience design, interaction design for complex workflows, systems thinking, and responsible AI.

• Tell a Story: For each project, clearly articulate the problem statement, your unique contributions, the process you followed, the challenges you overcame, and the measurable outcomes or learnings.

• Highlight Ambiguity and Systems: Show how you navigated unclear requirements and how your solutions fit into a larger system architecture.

• Emphasize AI & Responsibility: If you have AI-specific projects, detail your approach to human-AI interaction, trust, and explainability.

• Be Ready for Deep Dives: Anticipate questions about your design choices, trade-offs, and how you would apply your experience to Dayforce's specific challenges.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with HCM, HR workflows, and common challenges faced by HR professionals, managers, and employees.

• Think Systems First: For any design challenge, consider how your proposed solution integrates with existing systems and data flows.

• Focus on User Value & Trust: Frame your solutions around delivering tangible value to users while maintaining trust and transparency, especially when AI is involved.

• Practice Articulation: Be ready to clearly explain your thought process, design rationale, and potential risks or limitations of your proposed solutions.

📝 Enhancement Note: The emphasis on AI and enterprise SaaS means interviewers will be looking for candidates who can demonstrate not just design craft but also strategic thinking, technical understanding, and the ability to influence product direction in a complex, regulated environment.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite, InVision, Axure RP, or similar industry-standard tools for wireframing, UI design, and interactive prototyping.

• Collaboration & Project Management: Jira, Confluence, Asana, Trello, or similar platforms for task management, documentation, and team coordination.

• User Research Tools: Tools for usability testing, surveys, and user interviews (e.g., UserTesting.com, SurveyMonkey, Lookback).

Analytics & Reporting:

• Analytics Platforms: Google Analytics, Adobe Analytics, or internal BI tools for understanding user behavior and product performance.

• Data Visualization Tools: Tableau, Power BI, or similar for creating dashboards and reports to communicate insights.

CRM & Automation:

• CRM: Salesforce, Microsoft Dynamics, or Dayforce's own platform for understanding customer interactions and sales processes.

• Automation Tools: Familiarity with workflow automation concepts and potentially tools like Zapier, Make (formerly Integromat), or internal automation frameworks.

• Integration Tools: Understanding of APIs and how different systems connect, which is crucial for platform design.

📝 Enhancement Note: While specific tools aren't listed, the role implies proficiency in industry-standard design and prototyping software. Given the focus on AI and enterprise systems, familiarity with data analysis, workflow automation concepts, and design system tools is expected. The ability to work with technical teams on API integrations and data flows is also a significant advantage.

👥 Team Culture & Values

Operations Values:

• Customer Value & Trust: A core focus on delivering tangible value to customers while building and maintaining trust through transparent and responsible AI practices.

• Efficiency & Productivity: Driving improvements in how HR professionals, managers, and employees work through intelligent automation and streamlined workflows.

• Innovation & Curiosity: Encouraging exploration of new AI capabilities and methodologies, coupled with a grounded approach to user needs and ethical considerations.

• Collaboration & Transparency: Fostering an environment where cross-functional teams work together seamlessly, openly sharing ideas, feedback, and design rationale.

• Data-Driven Decision Making: Utilizing data from user research, analytics, and business metrics to inform design decisions and measure impact.

• Responsible AI: A commitment to ethical design principles, ensuring AI is used to empower users, not to create bias, opacity, or loss of control.

Collaboration Style:

• Cross-functional Integration: Designers are expected to be deeply integrated with Product Managers and Engineers, participating in all stages of the product development lifecycle.

• Design Critiques & Feedback: A culture of constructive feedback through regular design reviews and critiques to elevate the quality of work.

• Knowledge Sharing: Encouraging the sharing of best practices, learnings, and new approaches to AI design across teams and the broader organization.

• Empowerment through Design Systems: Collaborating with design system teams and other product teams to ensure AI patterns are well-documented and easily adoptable, fostering consistency and efficiency.

📝 Enhancement Note: The company's brand promise "Makes Work Life Better™" directly influences the team's values, emphasizing a user-centric approach focused on improving the daily work experience through technology, including AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: The rapidly evolving nature of AI and the company's ongoing development of its AI roadmap mean designers must be comfortable working with incomplete information and defining new problem spaces.

• Balancing Innovation with Responsibility: Designing cutting-edge AI features while ensuring they are trustworthy, explainable, and ethically sound in a regulated HCM environment.

• Translating Technical Complexity: Effectively translating advanced AI capabilities into intuitive and usable experiences for a diverse user base, including non-technical HR professionals.

• Scalability and Reusability: Creating design patterns and foundational architecture that can be adopted and scaled effectively across multiple product lines and teams within Dayforce.

• Cross-functional Alignment: Ensuring buy-in and consistent implementation of AI design principles across various product teams, engineering disciplines, and stakeholder groups.

Learning & Development Opportunities:

• Deep AI Expertise: Gain hands-on experience with current and emerging AI technologies, becoming a leader in AI product design.

• Platform Design and Architecture: Develop skills in designing at a platform level, influencing the core structure and capabilities of Dayforce's AI offerings.

• Industry Trends: Stay at the forefront of AI ethics, UX research in AI, and best practices in human-AI interaction through continuous learning and experimentation.

• Mentorship: Opportunities to learn from senior leaders and potentially mentor junior designers as the team grows.

• Industry Conferences & Certifications: Potential for attending relevant conferences or pursuing certifications in AI, UX, or related fields.

📝 Enhancement Note: The primary challenge will be shaping a new and evolving product area within a large, established enterprise. This requires not only strong design skills but also strategic thinking, influence, and the ability to adapt to change.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a highly ambiguous problem space. How did you define the problem and what was your approach?" (Focus on your process for discovery, framing, and early ideation.)

• "How do you approach designing for human-AI collaboration? What are the key principles you consider?" (Highlight your understanding of interaction models, trust, transparency, and user control.)

• "Tell me about a complex workflow you designed. How did you ensure it was intuitive and efficient for users?" (Showcase your systems thinking and ability to simplify complexity.)

• "How do you ensure your designs align with business outcomes and customer value?" (Connect your design decisions to measurable impact.)

• "What are your thoughts on responsible AI? How have you incorporated principles like explainability, bias mitigation, or user control into your past work?" (Demonstrate your ethical framework and practical application.) Company & Culture Questions:

• "What excites you about Dayforce and our mission to 'Make Work Life Better'?" (Show your understanding of the company's purpose and your alignment with it.)

• "How do you collaborate with Product Managers and Engineers? Describe a situation where you had to influence their direction." (Assess your teamwork and communication skills.)

• "How do you contribute to or leverage a design system?" (Understand your approach to consistency and scalability.)

• "What do you see as the biggest challenges and opportunities for AI in the HCM space?" (Gauge your industry insight and strategic thinking.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, follow a clear arc: Problem -> Your Role -> Process -> Solutions -> Outcomes/Learnings.

• Emphasize Your Process: Detail why you made certain decisions, not just what you designed. Show your thought process, research insights, and iterative refinements.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs (e.g., improved task completion time, increased user adoption, reduced error rates).

• Highlight AI & Systems: Specifically call out aspects of your work that relate to AI, automation, complex systems, or reusable patterns.

• Be Ready for Q&A: Anticipate detailed questions about your design choices, technical constraints, and how you would approach Dayforce's specific challenges.

📝 Enhancement Note: Interviewers will be looking for candidates who can demonstrate a strong understanding of AI principles, a robust product design process, excellent communication skills, and the ability to think strategically within an enterprise context.

📌 Application Steps

To apply for this Product Designer, AI Experiences position:

• Submit your application through the provided application link on the Dayforce jobs portal.

• Tailor Your Resume: Highlight experience with enterprise SaaS products, AI/automation design, interaction design, systems thinking, and responsible AI principles. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 projects that best showcase your end-to-end design process, ability to handle ambiguity, and experience with complex workflows or AI. Ensure each project clearly articulates the problem, your role, process, solutions, and impact.

• Prepare Your Presentation: Practice walking through your portfolio with a clear narrative, emphasizing your design rationale, collaboration, and the outcomes of your work. Be ready to discuss how you would approach designing AI experiences for Dayforce.

• Research Dayforce: Understand their HCM platform, their brand promise ("Makes Work Life Better™"), and their commitment to AI. Consider how your skills and experience align with their goals and values.

⚠️ 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.