Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Workday

Location: Stockholm, Sweden

Job Type: Full Time

Category: Product Design / UX Design

Date Posted: 2026-08-17

Experience Level: Senior (5+ years)

Remote Status: Hybrid

🚀 Role Summary

• Drive the design of next-generation agentic-first experiences, defining human interaction with autonomous AI for complex enterprise tasks.

• Collaborate with a dedicated team of product designers and cross-functional partners to conceptualize and build future-forward AI-driven work experiences.

• Contribute significantly to the overall design vision, product strategy, and long-term roadmap for Sana, Workday's AI lab.

• Translate complex technical constraints, such as non-determinism and latency in AI systems, into delightful and high-quality user experiences.

• Influence senior leadership and stakeholders through compelling storytelling and a clear vision for the future of AI-native work environments.

📝 Enhancement Note: This role focuses on cutting-edge AI product design within Workday's specialized AI lab, Sana. The emphasis is on defining novel human-AI interaction models for agentic systems, requiring a blend of deep UX expertise, strategic thinking, and strong communication skills to influence product direction and senior stakeholders. The "agentic-first" nature suggests a significant focus on autonomous AI capabilities and their integration into enterprise workflows.

📈 Primary Responsibilities

• Spearhead the design and development of innovative user experiences for agentic AI, focusing on how humans interact with AI agents that plan, reason, and execute tasks.

• Translate complex product requirements and AI capabilities into intuitive and effective user interfaces and workflows, ensuring a seamless user journey.

• Lead design initiatives from concept ideation, wireframing, and prototyping through to final product delivery, with opportunities to ship production-ready features.

• Partner closely with Product Management and Engineering teams to navigate technical limitations and opportunities inherent in AI development, ensuring feasibility and quality.

• Contribute to the evolution and scalability of Workday's design system, ensuring consistency and efficiency across a large contributor base.

• Develop and present compelling design visions and strategies to senior leadership, advocating for user-centered approaches in AI product development.

• Conduct user research, usability testing, and iterative design cycles to validate and refine product designs based on user feedback and data.

• Champion design excellence and craft in all aspects of the design process, from concept to pixel-perfect execution.

📝 Enhancement Note: The responsibilities highlight a senior-level contribution to product strategy and design vision, emphasizing the unique challenges of designing for autonomous AI. The expectation to "ship production work" and "scale great design across a team of 200+ contributors" indicates a hands-on role with significant impact and a need to influence broader design practices.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in HCI, Interaction Design, Graphic Design, Computer Science, or a related field is typically expected for a Senior Product Designer role.

Experience: Minimum of 5 years of professional experience as a Product Designer, with a strong emphasis on designing complex, large-scale, or enterprise-level products.

Required Skills:

• Product Design: Extensive experience in end-to-end product design, from conception to delivery, for digital products.

• User Experience (UX) Design: Deep understanding of UX principles, user-centered design methodologies, and the ability to create intuitive and engaging user flows.

• Prototyping: Proficiency in creating interactive prototypes using tools like Figma, Sketch, Adobe XD, or similar, to effectively communicate design concepts and test user interactions.

• Design Systems: Experience contributing to, maintaining, or leveraging established design systems to ensure consistency and scalability across products.

• AI/Agentic AI Understanding: Familiarity with the concepts and design challenges associated with artificial intelligence, particularly agentic AI, including planning, reasoning, and execution capabilities.

• Collaboration: Proven ability to work effectively with cross-functional teams, including Product Managers, Engineers, and Researchers, in a fast-paced environment.

• Storytelling & Vision: Strong ability to articulate design vision, present ideas persuasively, and influence stakeholders through compelling narratives and strategic rationale.

• Enterprise Software Design: Experience designing for complex enterprise environments and understanding the unique user needs and technical constraints involved.

Preferred Skills:

• Experience with AI labs or teams focused on cutting-edge AI technologies.

• Familiarity with designing for non-deterministic systems and managing user expectations around AI performance.

• Experience in driving design strategy and contributing to long-term product roadmaps.

• Knowledge of human-computer interaction (HCI) research methodologies.

• Experience working in a SaaS (Software as a Service) environment.

📝 Enhancement Note: The "Basic Qualification" clearly outlines the minimum experience and portfolio requirements. The "Other Qualification" emphasizes the candidate's mindset and passion for future technologies, which is critical for a role in an AI lab. The required skills are inferred from the responsibilities and the nature of designing for AI in an enterprise context.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Design Craft: A portfolio showcasing a high bar for quality, visual design, and attention to detail in user experiences.

• Complex Problem Solving: Case studies that clearly articulate a design challenge, the user problem, your design process, and the impact of your solutions.

• End-to-End Design Process: Examples that span the entire design lifecycle, from initial research and ideation through to detailed design, prototyping, and, ideally, shipped products.

• AI/Technology Focus: Projects that demonstrate an understanding of designing for advanced technologies, ideally including AI or complex software systems.

• Collaboration Evidence: Examples that highlight your role within a team and how you collaborated with Product and Engineering.

Process Documentation:

• Design Thinking & Methodology: Showcase your approach to user research, ideation, prototyping, and iterative testing, with clear explanations of the methods used.

• Systematic Design: Evidence of how you leverage or contribute to design systems, ensuring consistency, scalability, and efficiency in your design work.

• Impact Measurement: Examples of how your designs have positively impacted users or business metrics, demonstrating an understanding of design's ROI.

• Problem Framing: Articulate how you break down complex problems, especially those involving new technologies like AI, into manageable design challenges.

📝 Enhancement Note: For a senior design role, particularly in an innovative area like AI, the portfolio is paramount. It needs to go beyond aesthetics to demonstrate strategic thinking, problem-solving capabilities, and the ability to navigate complex technical and user challenges. The emphasis on "agentic-first experiences" suggests a need to see how candidates approach designing for systems that can act autonomously.

💵 Compensation & Benefits

Salary Range: kr756,000 SEK - kr1,133,000 SEK per year. This range is specific to Sweden and reflects a senior-level position in a major tech company.

Benefits:

• Bonus Plan: Eligibility for the Workday Bonus Plan, providing potential variable compensation based on company and individual performance.

• Stock Grants: Annual refresh stock grants, offering long-term equity and a stake in Workday's success.

• Flexible Work Arrangement: A hybrid model ("Flex Work") that balances in-office collaboration with remote flexibility, requiring at least 50% of time spent in the office or field each quarter.

• Comprehensive Benefits: Access to Workday's full suite of benefits, which typically include health insurance, retirement plans, paid time off, and professional development opportunities.

• Employee Referral Program: Opportunities for existing employees to refer candidates, potentially leading to referral bonuses.

Working Hours: While not explicitly stated as a weekly number, the "Flex Work" policy implies a standard full-time commitment. The mention of "40 hours" as an AI-derived value suggests a typical weekly workload. The hybrid policy allows for flexibility in scheduling work days to meet business, team, and personal needs, while ensuring significant in-office presence.

📝 Enhancement Note: The salary range is provided by Workday for EU locations and is based on objective criteria including experience, skills, education, responsibility, and location. The "Flex Work" policy is a key benefit, requiring at least 50% of quarterly time to be in-office or in the field, offering a structured hybrid approach. The AI-derived benefits are directly pulled from the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Cloud Computing / Enterprise AI Platform. Workday is a leader in enterprise cloud applications for finance and human resources, now expanding into AI-driven work solutions.

Company Size: Large Enterprise (Likely 10,000+ employees based on Workday's global presence and Fortune 500 status). This size offers stability, significant resources, and large-scale impact opportunities.

Founded: 2005. Workday has a mature history in the enterprise software space, evolving with cloud technology and now embracing AI.

Team Structure:

• Sana AI Lab: A specialized, talent-dense team focused on building "superintelligence for work" through agentic AI. This suggests a highly skilled and motivated group.

• Cross-functional Collaboration: The role requires close partnership with Product Managers and Engineers, indicating an agile and integrated development approach.

• Reporting: While not explicitly detailed, Senior Product Designers typically report to a Design Lead, Design Manager, or Head of Design within a product group. The team is described as having "200+ contributors" to the design system, implying a larger design organization that Sana draws from.

Methodology:

• AI-First Design: A core methodology focused on building agentic AI experiences where AI plans, reasons, and executes tasks.

• Rapid Iteration & Design Excellence: The team values "design excellence and rapid iteration," suggesting an agile development process with a strong emphasis on quality and speed.

• Responsible AI: Commitment to building AI that augments people, not replaces them, indicating an ethical and human-centered approach to AI development.

• Data-Driven Decisions: While not explicitly stated for this role, Workday as a company relies heavily on data for product development and business strategy.

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

📝 Enhancement Note: The context provided paints a picture of a forward-thinking, technically advanced team within a stable, established enterprise company. The Sana AI Lab is positioned as an innovation hub, offering a unique opportunity to work on bleeding-edge AI technologies with a focus on responsible development and user augmentation.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This level signifies a significant level of individual contribution, ownership, and influence. It requires a proven ability to execute complex projects, mentor junior designers, and contribute to strategic design decisions.

Reporting Structure: The Senior Product Designer will likely report to a Design Lead or Manager within the Sana AI Lab, working closely with Product Managers and Engineering Leads for specific product initiatives. They will also be part of a broader design community within Workday.

Operations Impact: This role has the potential for substantial impact by defining the future of human-AI interaction in enterprise settings. Success means enabling users to achieve their missions faster through effortless knowledge access, automated work, and AI-assisted learning. The designs will influence 75M+ users and contribute to Workday's position as an AI platform leader.

Growth Opportunities:

• Technical Specialization: Deepen expertise in designing for advanced AI technologies, agentic systems, and complex enterprise software challenges.

• Leadership Development: Opportunities to mentor junior designers, lead design initiatives, and influence product strategy, potentially progressing into Lead Designer or Design Manager roles.

• Cross-Functional Influence: Enhance skills in stakeholder management, executive communication, and strategic storytelling to drive design vision across the organization.

• Design System Contribution: Play a key role in scaling and evolving Workday's design system, impacting a vast user base and a large contributor community.

• Industry Recognition: Work on pioneering AI solutions that could set new standards in the industry, offering opportunities for professional growth and recognition.

📝 Enhancement Note: The Senior level implies a trajectory towards leadership and strategic influence. The unique domain of AI product design offers specialized growth. The role is positioned to not only execute but also to shape the future of AI in the workplace, providing significant career development potential within Workday.

🌐 Work Environment

Office Type: Hybrid Work Environment ("Flex Work"). Workday combines in-person collaboration with remote flexibility, requiring at least 50% of quarterly time to be spent in the office or field. This aims to foster connection and community while allowing for individual flexibility.

Office Location(s): The role is based in the Workday office in Stockholm, Sweden. This location likely offers modern amenities and a collaborative workspace.

Workspace Context:

• Collaborative Spaces: The office environment is designed to facilitate collaboration, team meetings, and cross-functional interactions, crucial for an AI lab environment.

• Tools & Technology: Access to Workday's standard suite of design and productivity tools, likely including industry-leading software for design, prototyping, and communication.

• Team Interaction: Regular opportunities to engage with fellow designers, product managers, engineers, and potentially researchers within the Sana AI Lab and the broader Workday design community.

• Focus Time: The hybrid model allows for dedicated time in the office for focused work and collaboration, as well as remote time for independent tasks.

Work Schedule: Full-time, with a flexible hybrid schedule. Employees are expected to spend at least 50% of their time quarterly in the office or field. This structure supports work-life balance while ensuring consistent team presence and collaboration.

📝 Enhancement Note: The hybrid "Flex Work" model is a key aspect of the work environment, emphasizing intentional collaboration and flexibility. The Stockholm office likely provides a modern, well-equipped setting conducive to innovation and teamwork.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review applications and portfolios, followed by a brief screening call to assess basic qualifications and cultural fit.

• Design Portfolio Review: A dedicated session where candidates present their portfolio, discussing key projects, design process, and impact. Expect to delve deep into specific case studies.

• Cross-functional Interviews: Interviews with Product Managers and Engineers to assess collaboration skills, technical understanding, and ability to work within an agile team.

• Design Team Interview: A discussion with other designers to evaluate design thinking, craft, and contribution to design systems and culture.

• Leadership Interview: A final interview, potentially with a senior design leader or the hiring manager, to discuss strategic vision, leadership potential, and long-term career alignment.

Portfolio Review Tips:

• Storytelling is Key: For each case study, clearly articulate the problem, your role, your process, the challenges faced (especially AI-related), your solutions, and the measurable outcomes.

• Focus on Impact: Quantify achievements whenever possible (e.g., improved conversion rates, reduced task completion time, increased user satisfaction). For AI, this might involve efficiency gains or new capabilities enabled.

• Show Your Process: Don't just show final screens. Include wireframes, user flows, research insights, and iterations to demonstrate your thinking.

• Highlight AI/Complex Systems: If you have experience with AI, complex algorithms, or enterprise software, ensure these projects are prominently featured and well-explained. Discuss how you approached the unique challenges.

• Be Prepared for Questions: Anticipate questions about your design decisions, trade-offs made, how you handle ambiguity, and your vision for AI in the workplace.

Challenge Preparation:

• Design Challenge: Be prepared for a take-home design challenge or an in-person/virtual design exercise. This will likely involve a prompt related to AI interaction or enterprise software design.

• Process Focus: Demonstrate your ability to think critically, frame a problem, and outline a design approach, even with limited information.

• Presentation Skills: Practice presenting your work clearly and concisely, articulating your rationale and answering questions effectively. Focus on communicating your strategic thinking for AI-native experiences.

📝 Enhancement Note: The interview process is structured to evaluate a range of skills from design craft to strategic thinking and collaboration. The portfolio review is critical, and candidates should prepare to showcase their ability to tackle complex, AI-centric design challenges.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable given industry trends and Workday's likely ecosystem), Sketch, Adobe Creative Suite, Axure, InVision.

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

• Project Management: Jira, Asana, Trello (or similar tools used by Workday product teams).

Analytics & Reporting:

• User Analytics: Tools like Google Analytics, Mixpanel, Amplitude, or custom Workday internal analytics platforms.

• Data Visualization: Tableau, Power BI, or internal dashboarding tools for reporting on user behavior and product performance.

CRM & Automation:

• While not directly a designer's primary tool, understanding Workday's own CRM and HRIS (Human Capital Management) solutions is beneficial. Experience with enterprise software platforms is key.

• Integration: Familiarity with how different systems connect and exchange data can be helpful in understanding the broader enterprise context.

📝 Enhancement Note: While the job description doesn't list specific tools, Figma is a near-universal standard for modern product design. Given Workday's enterprise focus, familiarity with enterprise-grade collaboration and project management tools is expected. Experience with AI-specific design challenges and platforms, even if nascent, would be a significant advantage.

👥 Team Culture & Values

Operations Values:

• Integrity, Empathy, Enthusiasm: These are core Workday values, expecting employees to act ethically, understand others' perspectives, and approach work with passion.

• Curiosity & Courage: Encouraging team members to ask questions, explore new ideas, and take calculated risks.

• Shared Enthusiasm & Collaboration: Fostering a positive, team-oriented environment where people support each other.

• Focus on What Matters: Prioritizing impactful work that drives customer success and employee potential.

• Responsible AI: A commitment to ethical and human-augmenting AI development.

Collaboration Style:

• Cross-functional Integration: Close working relationships with Product Management and Engineering are essential for successful AI product development.

• Design System Contribution: A collaborative culture around design systems, where feedback is exchanged, and contributions are valued across a large team.

• Open Communication: Encouraging dialogue, knowledge sharing, and constructive feedback to drive continuous improvement and innovation.

• Agile & Iterative: Working in fast-paced cycles, embracing feedback, and adapting designs based on new insights and technical developments.

📝 Enhancement Note: Workday's stated values of integrity, empathy, and enthusiasm, combined with a focus on innovation and responsible AI, point to a culture that balances professional rigor with a supportive and forward-looking environment. Collaboration is clearly emphasized, especially in cross-functional settings.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Autonomous AI: The primary challenge is defining intuitive and trustworthy interactions with AI agents that plan, reason, and execute complex tasks, which is a nascent field.

• Balancing Technical Constraints: Effectively designing within the non-deterministic and latency-bound nature of AI systems, requiring innovative solutions.

• Influencing Senior Leadership: Persuading stakeholders with a clear vision for AI-native work experiences, requiring strong communication and strategic justification.

• Scaling Design: Contributing to and leveraging a large design system while maintaining quality and consistency across a vast product ecosystem.

• Rapid Technological Evolution: Staying abreast of fast-paced AI advancements and translating them into viable product designs.

Learning & Development Opportunities:

• AI Design Specialization: Immersion in the cutting edge of AI product design, developing highly sought-after expertise.

• Advanced UX Techniques: Gaining experience with novel interaction paradigms and user research methods for AI-driven products.

• Leadership and Mentorship: Opportunities to lead design projects, mentor junior colleagues, and influence product strategy at a senior level.

• Industry Conferences & Training: Access to resources for continuous learning in AI, UX, and product development.

• Cross-Company Collaboration: Learning from and contributing to a broad design community within Workday, fostering a rich exchange of knowledge and best practices.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the role and the specific domain of AI. The growth opportunities focus on developing specialized skills and leadership capabilities within a rapidly evolving technological landscape.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex design problem you solved that involved significant technical constraints or ambiguity. How did you approach it, and what was the outcome?" (Focus on process, problem-framing, and impact, especially if AI-related.)

• "How would you approach designing an AI agent that needs to manage multiple complex tasks across different enterprise systems? What are the key user considerations?" (Tests understanding of agentic AI and enterprise workflows.)

• "How do you balance the need for rapid iteration with maintaining a high bar for design quality and craft?" (Addresses the team's methodology and your personal approach.)

• "Imagine you need to convince senior leadership to invest in a new AI-driven feature that has significant technical risks. How would you present your case?" (Assesses storytelling, strategic thinking, and stakeholder management.) Company & Culture Questions:

• "What interests you about Workday's mission and specifically the Sana AI Lab's work?" (Shows research and genuine interest.)

• "How do you contribute to a positive and collaborative team environment, especially in a hybrid setting?" (Evaluates cultural fit and teamwork.)

• "How do you ensure your designs are inclusive and responsible, particularly when working with AI?" (Assesses understanding of ethical AI and user empathy.)

• "What are your thoughts on the future of AI in the workplace, and how can design play a role in shaping it?" (Gauges forward-thinking and strategic perspective.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your specific role and contributions, your design process (research, ideation, iteration, testing), the key decisions and trade-offs, and the final outcome/impact.

• Quantify Impact: Use data and metrics to demonstrate the success of your designs. For AI projects, focus on efficiency gains, task completion rates, or new capabilities enabled.

• Show, Don't Just Tell: Use visuals (wireframes, prototypes, user flows, final screens) to illustrate your points. Be prepared to walk through interactive prototypes.

• Highlight AI/Complex Systems: Specifically address how you tackled the unique challenges of designing for AI, autonomy, or complex enterprise software. Explain your rationale for interaction models.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design choices, your collaboration with engineering, and how you handled any user research or testing.

📝 Enhancement Note: Preparation should focus on articulating your design process, demonstrating strategic thinking, and showcasing your ability to handle the unique complexities of AI product design within an enterprise context. Emphasize your collaboration skills and your vision for the future of work with AI.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the Workday Careers portal.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your end-to-end design process, problem-solving skills, and experience with complex systems or AI. Tailor the selection to highlight achievements relevant to enterprise software and AI-driven experiences.

• Optimize Your Resume: Ensure your resume clearly highlights your 5+ years of product design experience, specific accomplishments, and any relevant skills in AI, UX, design systems, and collaboration. Use keywords from the job description.

• Prepare Your Portfolio Presentation: Practice walking through your chosen case studies, focusing on clear storytelling, demonstrating your process, quantifying impact, and articulating your approach to AI design challenges. Be ready to answer in-depth questions.

• Research Workday and Sana: Understand Workday's mission, values, and product suite. Familiarize yourself with the goals of the Sana AI Lab and the concept of agentic AI. This will help you 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.