Principal Product Designer, AI Experiences

📍 Job Overview

Job Title: Principal Product Designer, AI Experiences

Company: IFS

Location: Itasca, Illinois, United States

Job Type: Full-time

Category: Product Design / UX/UI (with a focus on AI and Enterprise Software)

Date Posted: 2026-09-21

Experience Level: 8+ years (Principal Level)

Remote Status: On-site

🚀 Role Summary

• Lead the end-to-end product design process for innovative AI-driven experiences within enterprise software solutions.

• Drive problem framing, user research, and solution design in close collaboration with engineering and product management teams.

• Focus on designing for critical operational environments, including field service, asset management, manufacturing, and supply chain.

• Shape the future of user interfaces by exploring the impact of AI, ambient computing, and voice on how users interact with complex enterprise systems.

📝 Enhancement Note: This role is positioned as a Principal Product Designer, indicating a need for significant autonomy, strategic thinking, and the ability to influence design direction. The emphasis on "AI Experiences" and "the deeper question" suggests a forward-looking role focused on innovation rather than incremental feature design. The target industries (field service, asset management, etc.) are core to IFS's business, implying a need for designers who can understand complex operational workflows.

📈 Primary Responsibilities

• Own the complete product design lifecycle for assigned feature areas, from initial problem definition and user discovery through to production-ready design specifications and post-launch analysis.

• Conduct comprehensive user research, including user interviews, Jobs-to-Be-Done (JTBD) analysis, and journey mapping, translating findings into actionable design strategies and clear design direction.

• Collaborate effectively within cross-functional squads, actively participating in decision-making alongside engineers and product managers, rather than merely executing predefined briefs.

• Develop and present design thinking, rationale, and solutions to stakeholders with confidence, adeptly handling pushback with data-driven evidence and persuasive arguments.

• Design AI-driven features, critically assessing where AI provides genuine value while proactively identifying and mitigating potential risks, including prompt engineering, fallback mechanisms, and human-in-the-loop interactions.

• Contribute to and evolve the IFS design system by proposing reusable components, patterns, and best practices, ensuring consistency and scalability across products.

• Integrate WCAG 2.1+ accessibility standards from the outset of the design process, ensuring inclusive and usable experiences for all users.

• Design for edge cases, error states, and real-world data complexities, moving beyond idealized "happy path" scenarios to robust and reliable solutions.

• Track and analyze quantitative signals (e.g., task success rates, support ticket volume, adoption metrics) alongside qualitative insights to inform design iterations and measure impact.

• Proactively explore and articulate how current interface paradigms might become obsolete by emerging technologies like AI, ambient computing, and voice, and propose future-state interaction models.

📝 Enhancement Note: The responsibilities highlight a blend of traditional end-to-end product design with a strong emphasis on AI's transformative potential and a forward-thinking approach to interface design. The expectation to "own design" and "make real decisions" signifies a senior, autonomous role.

🎓 Skills & Qualifications

Education:

• While no specific degree is listed, a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is often preferred for principal-level roles in product design. Emphasis will be placed on a strong portfolio showcasing relevant experience. Experience:

• A minimum of 8 years of progressive experience in end-to-end product design, demonstrating ownership from discovery through to shipped and measured product.

• Proven track record of leading design initiatives and influencing product strategy.

• Experience working in agile, cross-functional product development teams. Required Skills:

• End-to-End Product Design: Demonstrated ability to manage the entire design process, from problem framing and user research to high-fidelity prototyping and post-launch analysis.

• User Research & Synthesis: Proficiency in planning and conducting user interviews, JTBD analysis, and journey mapping, with a strong ability to synthesize findings into clear design direction.

• Figma Proficiency: Advanced skills in Figma for wireframing, prototyping, and creating production-ready design files.

• AI & Emerging Technology Design Thinking: A thoughtful and genuine perspective on how AI and other emerging technologies (ambient computing, voice) fundamentally change interface design problems, not just as features to add.

• Accessibility Standards: Deep understanding and practical application of WCAG 2.1+ accessibility guidelines from the initial design phase.

• Cross-Functional Collaboration: Proven ability to work effectively within multidisciplinary teams, making collaborative decisions with engineers and product managers.

• Data-Informed Design: Experience using both qualitative insights and quantitative signals (task success, support tickets, adoption) to drive design decisions and iterations.

• Design System Contribution: Experience contributing to or working with established design systems, understanding principles of reusable components and patterns.

Preferred Skills:

• Shipped AI-Driven Features: Direct experience designing and shipping features that incorporate AI, including prompt design, human-in-the-loop mechanisms, and fallback strategies.

• Design Tokens & System Design: Familiarity with design tokens, contribution models for design systems, and designing for system-level consistency.

• Quantitative Analysis Exposure: Some exposure to or experience with quantitative data, such as task success rates, funnel analysis, or A/B test results, and a habit of incorporating these into the design process.

• Enterprise Software Experience: Prior experience designing complex enterprise applications, particularly in the domains of field service, asset management, manufacturing, or supply chain.

📝 Enhancement Note: The emphasis on "ownership" and "real decisions" within a cross-functional squad points to a senior individual contributor role. The "Principal" title suggests the expectation of thought leadership and mentorship within the design team. The requirement to understand AI's fundamental impact on interfaces, beyond just adding AI features, is a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase at least 2-3 comprehensive case studies demonstrating ownership of the entire design process from problem definition to shipped product. Each case study should clearly articulate the problem, your role, the process undertaken, key decisions, and measurable outcomes.

• Problem Framing & Discovery: Evidence of how you frame ambiguous problems, conduct user research (interviews, JTBD, journey mapping), and synthesize findings into clear design strategies.

• AI Design Rationale: Specific examples or a dedicated case study illustrating your approach to designing with AI, including considerations for prompts, fallbacks, human-in-the-loop interactions, and risk mitigation.

• System Thinking: Examples of contributions to or utilization of design systems, demonstrating an understanding of reusable components, patterns, and scalability.

• Accessibility Integration: Clear demonstration of how accessibility was considered and integrated throughout the design process, not as an afterthought.

• Quantifiable Impact: Inclusion of metrics and data (task success rates, user feedback, adoption rates, support ticket reduction) that showcase the impact of your designs.

Process Documentation:

• Workflow Design & Optimization: Illustrate your process for mapping and optimizing complex user workflows, particularly within enterprise or operational contexts.

• Research-to-Design Translation: Demonstrate how research findings are systematically translated into design solutions, showing the iterative process.

• Cross-Functional Collaboration Artifacts: Examples of how you communicate and collaborate with PMs and engineers, such as design specs, user flow diagrams shared for discussion, or prototypes used in sprint planning.

📝 Enhancement Note: For a Principal-level role, the portfolio is critical. It must go beyond visual design and showcase strategic thinking, research leadership, and a deep understanding of the product development lifecycle, especially concerning AI and complex enterprise systems. The ability to articulate process and demonstrate impact with data is paramount.

💵 Compensation & Benefits

Salary Range:

• Based on the "Principal" title, 8+ years of experience, and location in the Itasca, Illinois area (a significant suburban business hub near Chicago), the estimated salary range for a Principal Product Designer is typically between $150,000 - $200,000+ per year. This range can vary based on the candidate's specific experience, negotiation skills, and the company's internal compensation bands. Benefits:

• Comprehensive Health Coverage: Medical, dental, and vision insurance plans.

• Retirement Savings: 401K plan with a company contribution, offering financial security.

• Financial Flexibility: Flexible spending accounts (FSAs) for healthcare and dependent care.

• Income Protection: Life insurance and disability benefits (short-term and long-term).

• Professional Development: Tuition assistance programs to support continuous learning and skill enhancement.

• Work-Life Balance: Flexible paid time off, including provisions for sick leave and holidays.

• Community Engagement: Opportunities for involvement in community events and volunteering.

Working Hours:

• The standard full-time workweek is typically 40 hours. While the role is on-site, IFS likely offers some flexibility in daily start/end times, common in the tech industry, to accommodate project needs and work-life balance, especially for a Principal role.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for Principal Product Designers in major US metropolitan areas like Chicago and general data for enterprise software companies. The benefits listed are standard for a company of IFS's size and scope.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software (AI, Field Service Management, Asset Management, ERP, Cloud Solutions). IFS is a significant player in providing mission-critical software solutions that help businesses manage complex operations.

Company Size: 6000+ employees, a billion-dollar revenue company. This indicates a well-established, global organization with structured processes but also potentially opportunities for impact within specific product teams.

Founded: IFS was founded in 1983. This long history suggests a stable company with deep industry knowledge and a mature product portfolio, now actively integrating modern technologies like AI.

Team Structure:

• Cross-functional Squads: The role operates within a "cross-functional squad" alongside engineers and product managers, indicating an agile, team-oriented development environment.

• Reporting Structure: While not explicitly stated, a Principal Product Designer typically reports to a Design Lead, Head of Design, or Director of Product, with direct collaboration across product and engineering leadership.

• Collaboration Patterns: Emphasis on "making real decisions rather than executing on someone else's brief" suggests a collaborative environment where designers are empowered partners, not just order-takers.

Methodology:

• Agile Development: Implied by the cross-functional squad structure and focus on shipping and measuring.

• Data-Driven Iteration: Explicitly mentioned as a core part of the design process ("Track quantitative signals... use both to drive iteration").

• Customer-Centricity: Focus on designing for users whose work "actually matters" and understanding the impact of software on their operations.

• AI Integration: A strategic focus on leveraging AI to enhance enterprise solutions and transform user experiences.

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

📝 Enhancement Note: IFS positions itself as an innovative, global, and diverse company committed to sustainability and making a positive impact. The "Team Purple" branding and the "#MakeYourMoment" tagline suggest a culture that encourages individual contribution and professional growth within a supportive, collaborative framework.

📈 Career & Growth Analysis

Operations Career Level: Principal Product Designer. This is a senior individual contributor role, often seen as a career track parallel to management. It signifies deep expertise, strategic influence, and the ability to tackle the most complex design challenges independently. The focus is on design leadership, innovation, and mentorship rather than people management.

Reporting Structure: Likely reports to a Head of Design or Director of Product within a specific product area. Works very closely with Product Managers and Engineering Leads within their assigned squad.

Operations Impact: The role's impact is significant. By designing intuitive and effective AI-driven experiences for critical operational tasks (field service, asset management, etc.), this role directly influences:

• Customer Efficiency & Productivity: Enabling users to complete tasks faster and more accurately.

• Operational Excellence: Improving how businesses manage assets, schedules, and resources.

• Product Innovation: Driving the adoption of AI and shaping the future of IFS's product offerings.

• Customer Satisfaction & Retention: Enhancing the user experience of IFS's core enterprise software.

Growth Opportunities:

• Design Leadership: Potential to grow into Lead Designer roles, managing specific product areas or mentoring junior designers.

• Specialization: Deepen expertise in AI/ML product design, complex enterprise systems, or specific industry verticals IFS serves.

• Strategic Influence: Contribute to the broader design strategy and vision for IFS's product portfolio.

• Mentorship: Guide and mentor less experienced designers within the organization.

• Cross-functional Leadership: Take on more strategic product initiatives that span multiple disciplines.

📝 Enhancement Note: The "Principal" title implies a high level of autonomy and impact. Growth is likely focused on deepening expertise and increasing strategic influence within design and product development, rather than necessarily moving into people management.

🌐 Work Environment

Office Type: The role is listed as on-site in Itasca, Illinois. This suggests a traditional office environment designed for in-person collaboration. IFS emphasizes its global, diverse environment and likely provides a modern workspace conducive to teamwork.

Office Location(s): Itasca, Illinois, is a suburban location west of Chicago, part of the greater Chicagoland area. It offers access to a large talent pool and is a hub for many corporate headquarters.

Workspace Context:

• Collaborative Spaces: Likely includes meeting rooms, huddle spaces, and open-plan areas designed to facilitate interaction between squad members (designers, PMs, engineers).

• Tools & Technology: Access to standard design software (Figma is specified), collaboration tools, and potentially specialized hardware for user testing or AI development.

• Team Interaction: Frequent opportunities for direct interaction with colleagues within the squad and potentially broader design or product teams during critiques, workshops, and team meetings.

Work Schedule: Standard full-time hours (likely 40 hours/week) with potential for some flexibility in daily scheduling, common for on-site roles in tech companies. Given the focus on shipping and iteration, occasional periods of higher intensity may occur around project deadlines.

📝 Enhancement Note: The on-site requirement suggests IFS values in-person collaboration for complex problem-solving and team cohesion, particularly for a role focused on innovation and cross-functional teamwork.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: Discussion with the Design Lead or Hiring Manager focusing on experience, approach to design problems, and understanding of AI's role in enterprise software.

• Portfolio Presentation & Deep Dive: A dedicated session where the candidate presents 1-2 detailed case studies from their portfolio. This is a critical stage to assess problem-solving skills, design process, research methodology, collaboration style, and ability to articulate impact. Expect deep questions about decisions made and trade-offs considered.

• Cross-functional Interview(s): Interviews with Product Managers and Engineering Leads from the relevant squad. This assesses collaboration skills, ability to work within an agile team, and understanding of technical constraints and product strategy.

• Design Challenge (Potentially): While not explicitly stated, some companies at this level may issue a small, take-home design challenge or a live whiteboarding exercise focused on a specific problem related to AI or enterprise UX.

• Final Interview: May involve a senior leader or executive for final buy-in, focusing on strategic thinking and leadership potential.

Portfolio Review Tips:

• Curate Strategically: Select case studies that best demonstrate end-to-end ownership, strong research and problem-framing skills, experience with AI or complex systems, and measurable impact.

• Tell a Story: Structure each case study as a narrative: the challenge, your role, the process, the insights, the solutions, the outcomes, and lessons learned.

• Highlight Your Thinking: Emphasize the "why" behind your decisions. Explain your rationale for research methods, design choices, and trade-offs.

• Show, Don't Just Tell: Use visuals effectively – user flows, wireframes, prototypes, research synthesis, and final UI mockups.

• Quantify Impact: Whenever possible, include metrics and data to demonstrate the success and business value of your work.

• Address AI Specifically: If possible, include a case study that directly addresses designing AI-driven features or exploring AI's impact on interfaces.

• Be Prepared for Deep Dives: Anticipate questions about every aspect of your presented work.

Challenge Preparation:

• Understand the Domain: Research IFS, its products (especially Field Service Management, Asset Management), and the challenges in enterprise software UX.

• AI in Enterprise: Familiarize yourself with current trends and challenges in applying AI to business processes, including user trust, data privacy, prompt engineering, and ethical considerations.

• Practice Articulation: Rehearse explaining complex design problems and solutions concisely and clearly. Practice articulating your design process and strategic thinking.

• Think About Trade-offs: Be ready to discuss design decisions in terms of trade-offs between user needs, business goals, and technical feasibility.

📝 Enhancement Note: The interview process emphasizes a thorough evaluation of design leadership, strategic thinking, and collaborative capabilities. The portfolio presentation is likely the most crucial part of the assessment.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Explicitly mentioned as the primary design tool for wireframing, prototyping, and creating production-ready files. Proficiency is essential.

• Design System Tools: Likely involves tools for managing design tokens, component libraries, and documentation (e.g., Zeroheight, Storybook, or internal systems).

• Prototyping Tools: Figma's built-in prototyping capabilities are key; other tools might be used for more advanced interactions or user testing.

Analytics & Reporting:

• User Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or similar platforms for tracking user behavior and task success rates.

• Data Visualization Tools: Familiarity with tools like Tableau, Power BI, or Looker for analyzing performance data and creating reports, although direct usage might be handled by PMs or analysts.

• Support Ticket Systems: Understanding how to access and interpret data from systems like Zendesk or Jira Service Management to identify UX-related issues.

CRM & Automation:

• CRM Systems: While not directly a design tool, understanding how enterprise software integrates with or functions alongside CRM systems (like Salesforce) can be beneficial.

• Workflow Automation Tools: Awareness of how automation impacts user workflows is relevant, even if not directly designing the automation itself.

📝 Enhancement Note: The explicit mention of Figma indicates its central importance. The role requires not just design execution but also an understanding of how designs are implemented, measured, and integrated into larger systems and data flows.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on designing solutions that have a tangible positive impact on users and business outcomes ("make a real change and have a worldwide impact," "make a positive impact on the world").

• Innovation & Originality: Encouragement of "innovative and original thinkers" to "change the status quo."

• Collaboration & Trust: Emphasis on working together in a global, diverse environment where trust is foundational.

• Sustainability: A stated commitment to sustainability, reflecting a broader corporate value.

• Agility & Efficiency: Getting things done and focusing on how to improve processes and outcomes ("agility, collaboration, and trust," "we get things done").

• Data-Informed Decision Making: Using both qualitative and quantitative data to guide design and product development.

Collaboration Style:

• Cross-functional Partnership: The "squad" model fosters close collaboration between design, product management, and engineering, with shared ownership and decision-making.

• Evidence-Based Discussions: Stakeholders are expected to handle pushback with "evidence, not just conviction," promoting a rational and data-driven approach to design debates.

• Open Feedback: While not explicitly stated, the nature of agile teams and design critiques implies a culture where constructive feedback is exchanged regularly.

• Knowledge Sharing: Contributing to a design system and proposing reusable patterns fosters knowledge sharing and consistency across the product suite.

📝 Enhancement Note: IFS aims to foster a culture that balances innovation with a strong sense of purpose and collaboration. The values align with modern tech companies focused on impact, continuous improvement, and user-centricity, particularly within the complex domain of enterprise software.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Enterprise software, especially in fields like asset management and field service, involves intricate workflows, diverse user roles, and high stakes. Simplifying these complexities into intuitive AI-driven experiences is a significant challenge.

• AI Adoption & Trust: Designing AI features that users trust and adopt requires careful consideration of transparency, explainability, ethical implications, and seamless integration into existing workflows. Overcoming user skepticism towards AI is key.

• Future-Proofing Interfaces: Anticipating how AI and other technologies will fundamentally change interaction paradigms requires continuous learning, experimentation, and a willingness to challenge current design norms.

• Balancing Innovation with System Consistency: Contributing to a design system while exploring novel AI interfaces requires balancing reusability and consistency with the need for groundbreaking new interaction models.

• Measuring AI Impact: Defining and measuring the success of AI-driven features can be more complex than traditional UX metrics, requiring innovative approaches to data analysis.

Learning & Development Opportunities:

• Deep Dive into AI/ML Product Design: Gain hands-on experience designing cutting-edge AI-powered features for enterprise users.

• Industry Expertise: Develop deep knowledge of IFS's target industries (field service, asset management, manufacturing, supply chain).

• Design System Mastery: Contribute to and influence the evolution of a large-scale enterprise design system.

• Strategic Product Influence: Grow in ability to shape product strategy and influence the roadmap through design leadership.

• Mentorship & Thought Leadership: Opportunity to mentor junior designers and become a recognized expert in AI-driven UX within the organization and potentially the industry.

📝 Enhancement Note: This role presents a unique opportunity to tackle complex, real-world problems at the intersection of AI and enterprise software, offering significant learning and growth potential for a forward-thinking designer.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to frame a highly ambiguous problem. What was your process, and what was the outcome?" (Focus on your problem-definition methodology, research approach, and ability to drive clarity.)

• "How do you approach designing AI-driven features? What are the key considerations regarding user trust, transparency, and human-in-the-loop moments?" (Prepare to discuss specific examples, ethical considerations, and practical implementation strategies.)

• "Imagine our field service technicians are increasingly using AI assistants. How might this change the way they interact with our core scheduling and dispatching software? What new interface paradigms could emerge?" (Think broadly about ambient computing, voice interaction, and proactive AI assistance.)

• "How do you balance the need for a consistent design system with the desire to innovate and create novel experiences, especially with AI?" (Discuss your approach to contributing to systems and when to advocate for new patterns.) Company & Culture Questions:

• "Based on your research, what do you see as the biggest UX challenges for IFS's target industries (e.g., field service)?" (Demonstrate your understanding of the business context and user needs.)

• "How do you see your role as a Principal Designer contributing to IFS's values of innovation, collaboration, and impact?" (Connect your skills and aspirations to the company's stated values.)

• "Describe your experience working in agile, cross-functional squads. How do you ensure effective collaboration and alignment with PMs and engineers?" (Highlight your teamwork and communication skills.) Portfolio Presentation Strategy:

• Focus on AI/Complexity: If possible, lead with a case study that heavily features AI, complex workflows, or enterprise applications.

• Articulate Your "Why": For every decision, explain the rationale based on user needs, business goals, or technical constraints.

• Showcase Research Rigor: Detail your research process – how you planned, recruited, conducted interviews, and synthesized findings.

• Demonstrate Iteration: Show how feedback (user, stakeholder, data) led to design changes.

• Quantify Results: Present metrics clearly and explain how they demonstrate the success of your design solutions.

• Be Ready for "What Ifs": Anticipate questions like, "What if you had more time?", "What if budget was unlimited?", or "What if you couldn't use Figma?"

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, deep understanding of AI's role in UX, and strong collaboration skills, in addition to core design craft. The ability to articulate complex processes and outcomes is paramount.

📌 Application Steps

To apply for this Principal Product Designer position at IFS:

• Submit Your Application: Apply through the provided link on the IFS careers portal. Ensure your resume is tailored to highlight relevant experience in product design, AI, and enterprise software.

• Portfolio Customization: Prepare your portfolio, focusing on 2-3 detailed case studies that showcase end-to-end ownership, strong research methodology, AI design thinking, and measurable impact. Tailor the presentation to IFS's industry and the role's emphasis on AI.

• Resume Optimization: Clearly articulate your 8+ years of experience, highlighting leadership in design initiatives, cross-functional collaboration, and any experience with AI-driven features or complex enterprise systems. Use keywords identified in the job description.

• Interview Preparation: Practice explaining your design process, research findings, and strategic decision-making. Prepare specific examples for behavioral questions and be ready to articulate your vision for AI in enterprise UX. Rehearse your portfolio presentation thoroughly.

• Company Research: Deeply understand IFS's products, target industries, and company culture. Research their recent announcements regarding AI and innovation to align your responses and questions with their strategic direction.

⚠️ 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.