UX Product Manager, AI

📍 Job Overview

Job Title: UX Product Manager, AI

Company: Arizona State University (ASU)

Location: Scottsdale, Arizona, United States

Job Type: Full-Time

Category: Product Management, User Experience (UX), Technology, Education

Date Posted: April 03, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid (Requires reliable commute to Scottsdale, AZ)

🚀 Role Summary

• Drive product strategy and outcomes for AI-powered digital products within ASU EdPlus's enrollment portfolio, focusing on enhancing the prospective student and enrollment experience.

• Collaborate closely with cross-functional teams, including design, engineering, research, and data analysts, to identify opportunities, define product roadmaps, and deliver user-centered solutions.

• Leverage AI tools and systems to optimize enrollment workflows, ensuring a data-driven approach to product development and continuous improvement.

• Act as a digital product lead, translating complex stakeholder needs into actionable requirements and prioritizing initiatives to align with strategic enrollment goals.

📝 Enhancement Note: This role is crucial for bridging the gap between user experience design, product strategy, and the emerging capabilities of Artificial Intelligence within a higher education context. The emphasis on "AI-powered tools and systems" and "AI and automation into enrollment products and workflows" indicates a forward-thinking product management function that seeks to innovate and streamline processes using advanced technology. The requirement for a reliable commute to Scottsdale suggests a hybrid model where in-person collaboration is valued for strategic planning and team cohesion.

📈 Primary Responsibilities

• Define, articulate, and collaborate on the User Experience (UX) strategy with subject matter experts and stakeholders across Admissions Services, Enterprise Technology, the Provost Office, and EdPlus.

• Manage escalations, monitor student feedback, analyze pain points, and design long-term, data-informed solutions for enrollment products.

• Monitor, analyze, and report on key product performance indicators (KPIs) regularly to establish baselines and drive improvements toward exceeding strategic goals.

• Prioritize and maintain product/UX roadmaps, ensuring the delivery of value to students and staff by solving critical problems and helping them achieve their objectives.

• Manage product operations, which includes creating user stories, defining acceptance criteria, developing persona profiles, mapping student journeys, and facilitating design sessions.

• Evaluate and implement opportunities to incorporate AI and automation into enrollment products and workflows, staying abreast of emerging AI capabilities relevant to higher education.

• Conduct competitive and market research to identify risks and opportunities that inform new product strategies and enhance the overall enrollment experience.

• Create and optimize processes that streamline efficiencies across teams in areas of communication, feedback exchange, collaboration, reporting, tracking, and handoffs.

• Translate high-level strategies into detailed, actionable requirements by working collaboratively with content, design, development, research, and data teams.

• Independently lead design thinking workshops, including whiteboarding activities, flow diagramming, and user journey mapping, to foster innovation and problem-solving.

📝 Enhancement Note: The responsibilities highlight a proactive and strategic approach to product management, emphasizing continuous improvement, data-driven decision-making, and cross-functional leadership. The inclusion of managing "product operations" and "user stories" points towards an Agile or hybrid Agile development environment. The explicit mention of evaluating AI and automation opportunities suggests that candidates with AI product experience will be highly valued.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Computer Engineering, Information Technology, or a relevant field.

Experience:

• Minimum of five (5) years of experience in product management, leading product strategy initiatives, or a related field.

• Proven track record analyzing data and workflows to develop innovative solutions and promote continuous enhancement.

Required Skills:

• Product Management: Proven experience leading product strategy initiatives, defining roadmaps, and managing product lifecycles.

• User Experience (UX) Focus: Strong understanding of UX principles, user-centered design, and the ability to translate user needs into actionable product requirements.

• AI & Automation Familiarity: Evidence of familiarity with AI tools, large language models, or AI-powered product features, and the ability to assess their practical application.

• Data Analysis & KPIs: Ability to analyze data and workflows to develop innovative solutions, monitor product KPIs, and report on performance.

• Stakeholder Management: Excellent relationship management skills, with the capability to enhance partnerships across diverse departments and operational areas.

• Communication & Collaboration: Demonstrated excellent communication skills, with abilities in simplifying complex concepts, working with diverse teams, influencing outcomes, and achieving common goals.

• Requirements Definition: Experience creating acceptance criteria, crafting user stories, facilitating scrum ceremonies, or documenting technical specifications.

Preferred Skills:

• Prior involvement with UX teams.

• Experience in higher education enrollment processes or student success initiatives.

• Familiarity with design thinking methodologies and facilitation of design sessions.

• Experience with Agile development methodologies, including Scrum ceremonies.

• Knowledge of CRM systems and their application in enrollment management.

📝 Enhancement Note: The "5-10 years" experience range is inferred from the combination of the minimum requirement of five years and the typical progression for a "Product Manager" role within a large organization like a university, especially one focused on innovation. The emphasis on AI and data analysis suggests a need for analytical and forward-thinking candidates.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Product Strategy & Roadmap Examples: Showcase examples of product strategies developed, including market analysis, competitive research, and defined roadmaps with clear objectives and timelines.

• User Story & Requirements Documentation: Provide samples of well-defined user stories, acceptance criteria, and detailed requirements that demonstrate clarity, completeness, and alignment with user needs.

• AI/Automation Integration Case Studies: Include any case studies or examples where AI, machine learning, or automation technologies were evaluated, proposed, or implemented to solve business problems or enhance user experiences.

• Data Analysis & KPI Reporting: Present examples of how data analysis was used to inform product decisions, identify opportunities, and track key performance indicators (KPIs) for product success.

• Process Optimization Examples: Demonstrate instances where you created or improved processes to streamline workflows, enhance team collaboration, or increase efficiency in a product development context.

Process Documentation:

• Workflow Design & Optimization: Evidence of designing and optimizing workflows for product development, release management, or cross-functional team collaboration.

• User Journey Mapping: Examples of user journey maps created to understand user experiences and identify critical touchpoints for improvement.

• Agile Ceremonies Facilitation: Documentation or descriptions of experience facilitating Agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives.

• System Integration Concepts: Any documentation or proposals related to integrating new technologies or systems into existing product ecosystems.

📝 Enhancement Note: The portfolio requirements are tailored to a product management role with a strong emphasis on UX, data, and AI. Candidates should be prepared to showcase their strategic thinking, execution capabilities, and ability to articulate complex processes and outcomes clearly, particularly in how they've leveraged data and technology.

💵 Compensation & Benefits

Salary Range: $80,000 - $90,000 USD Annually (Depending on Experience - DOE)

Benefits:

• Healthcare: Comprehensive health insurance plans.

• Financial Security: Programs and resources to support financial well-being.

• Retirement: Robust retirement savings plans.

• Family Resources: Support services and benefits for employees and their families.

• Tuition Reduction: Eligibility for tuition reduction for ASU employees, their dependents, and spouses.

• Discounts: Access to various employee discounts.

Working Hours: 40 hours per week. While ASU EdPlus supports flexible work options, this position is not fully remote and requires a reliable commute to the Scottsdale, AZ office.

📝 Enhancement Note: The salary range is explicitly stated in the job description. The benefits listed are standard for a large university system, with a notable advantage being the tuition reduction program. The clarification on the hybrid work arrangement is critical for potential applicants.

🎯 Team & Company Context

🏢 Company Culture

Industry: Higher Education Technology & Digital Learning

Company Size: Large (Arizona State University is a major public research university with a vast number of employees and students.)

Founded: Arizona State University was founded in 1885. ASU EdPlus is a dedicated unit within the university.

Team Structure:

• Product & UX Technology Team: This role is situated within the Product & UX Technology team at ASU EdPlus.

• Cross-Functional Collaboration: The role requires close partnership with stakeholders across Admissions Services, Enterprise Technology, the Provost Office, and other EdPlus teams.

• Reporting Structure: While not explicitly stated, Product Managers typically report to a Director or VP of Product Management or a similar senior leadership role within the technology or product division.

Methodology:

• Data-Driven Decision Making: Emphasis on using data to inform product strategy, measure impact, and drive improvements.

• User-Centered Design: A strong focus on understanding and addressing the needs of students and staff.

• Agile & Iterative Development: Implied through responsibilities like managing user stories, acceptance criteria, and facilitating Agile ceremonies, suggesting an iterative approach to product delivery.

• Innovation & AI Integration: A culture that encourages exploring and adopting emerging technologies like AI to enhance educational delivery and student experiences.

Company Website: https://edplus.asu.edu/

📝 Enhancement Note: ASU EdPlus positions itself as an innovative unit within a large, established educational institution. The culture is described as one of curiosity, risk-taking, and a refusal to accept the status quo, with a strong commitment to serving learners and embracing technological innovation. This suggests an environment that values proactive individuals who can drive change and deliver impactful solutions.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level Product Manager, with a specialization in UX and AI. It involves owning product strategy, managing roadmaps, and driving outcomes for significant enrollment-focused digital products.

Reporting Structure: The UX Product Manager, AI, will likely report to a Director of Product Management or a similar senior leader within the EdPlus Product & UX Technology team. Collaboration will be extensive with design, engineering, research, data analysis, and various university departments.

Operations Impact: The UX Product Manager will have a direct impact on the prospective student and enrollment experience, influencing how individuals interact with ASU. By optimizing processes through AI and strategic product development, this role contributes to student success, enrollment efficiency, and the university's mission of providing accessible and high-quality education. The focus on data-driven decisions and KPIs ensures that the impact is measurable and aligned with organizational goals.

Growth Opportunities:

• Specialization in AI Product Management: Deepen expertise in applying AI and machine learning to educational technology and enrollment management.

• Leadership in Product Strategy: Opportunity to lead larger product initiatives or take on more complex product portfolios within ASU EdPlus.

• Cross-Functional Leadership: Develop stronger skills in influencing and leading diverse teams towards common product goals.

• Advancement within ASU: Potential to move into senior product management roles, product leadership positions, or other strategic roles within ASU's broader technology and innovation divisions.

• Continuous Learning: Access to professional development resources, potential for certifications, and exposure to cutting-edge technologies in higher education.

📝 Enhancement Note: The role offers significant growth potential, particularly for those interested in the intersection of AI, UX, and higher education. The ability to own product strategy and drive outcomes in a hybrid environment provides a strong foundation for career advancement.

🌐 Work Environment

Office Type: The role is based at the SkySong, the ASU Scottsdale Innovation Center, described as a beautiful, cutting-edge, and collaborative workspace. This environment fosters a diverse community linking technology, research, education, and entrepreneurship.

Office Location(s): ASU Scottsdale Innovation Center (Building Three), Scottsdale, Arizona. This location is specifically identified as the required commute location.

Workspace Context:

• Collaborative Atmosphere: The SkySong Innovation Center is designed to encourage interaction and collaboration among residents from various industries.

• Technology-Rich Environment: As part of ASU EdPlus and located in an innovation center, expect access to modern technology and tools to support product development and analysis.

• Team Interaction: While hybrid, the office presence allows for direct interaction with design, engineering, and other product team members, facilitating brainstorming, workshops, and problem-solving sessions.

Work Schedule: The standard work schedule is 40 hours per week. ASU EdPlus supports flexible work options, including alternate work schedules and hybrid remote arrangements, subject to approval. This means there may be flexibility in daily or weekly scheduling, but consistent in-office presence is required.

📝 Enhancement Note: The description of the SkySong Innovation Center suggests a modern, dynamic, and collaborative workspace conducive to innovation. The hybrid work model offers flexibility, but the requirement for a commute highlights the importance of in-person collaboration for team synergy and strategic alignment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter screens applications for minimum qualifications and key skills.

• Hiring Manager Interview: Discussion focused on experience, product management philosophy, UX approach, and understanding of AI applications. Preparation of specific examples from your experience is crucial.

• Team/Panel Interviews: Interviews with designers, engineers, data analysts, and other product managers to assess technical acumen, collaboration style, and problem-solving abilities. Expect scenario-based questions and discussions about your approach to product development.

• Portfolio Presentation: A key stage likely involves presenting a portfolio showcasing past product work, strategy development, UX initiatives, and any relevant AI/automation projects.

• Final Interview: Potential interview with senior leadership to discuss strategic alignment and overall fit with ASU EdPlus's mission and culture.

Portfolio Review Tips:

• Showcase AI/Automation Impact: Clearly articulate any projects where you evaluated, recommended, or implemented AI or automation solutions. Quantify the impact where possible.

• Highlight UX Strategy: Detail your process for defining UX strategy, conducting user research, and translating insights into product features. Use visual aids if possible.

• Demonstrate Data-Driven Approach: Present case studies where data analysis informed product decisions, roadmap prioritization, or measured success. Include specific KPIs and outcomes.

• Structure Case Studies: For each project, clearly outline the problem, your role, the solution developed (especially involving AI/UX), the process followed, and the measurable results.

• Tailor to Enrollment: If possible, showcase experience or understanding relevant to higher education enrollment, student experience, or related operational processes.

Challenge Preparation:

• Product Strategy Exercise: Be prepared for a hypothetical product challenge where you might be asked to outline a strategy, roadmap, or feature set for an enrollment-related product, potentially incorporating AI.

• UX Problem-Solving: Expect questions or scenarios testing your ability to diagnose UX issues and propose solutions that are both user-centric and technically feasible.

• AI Application Scenarios: Be ready to discuss how specific AI capabilities (e.g., chatbots, personalization engines, predictive analytics) could be applied to enhance enrollment processes or student support.

• Stakeholder Alignment: Practice articulating how you would manage competing stakeholder priorities and gain buy-in for your product vision.

📝 Enhancement Note: The interview process likely emphasizes practical application of product management skills, particularly in UX and AI, and the ability to articulate strategy and execution through a portfolio. Candidates should prepare to discuss their thought processes and demonstrate how they tackle complex problems.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Tools like Jira, Confluence, Asana, or similar for managing backlogs, user stories, and project documentation.

• Design & Prototyping Tools: Experience with tools such as Figma, Sketch, Adobe XD for reviewing designs and collaborating with UX teams.

• AI/ML Platforms & Tools: Familiarity with AI services (e.g., AWS AI/ML, Google AI Platform, Azure AI) or specific AI tools and large language models relevant to product development and automation.

• Collaboration Suites: Microsoft 365 (Teams, SharePoint, Office Suite) or Google Workspace for daily communication and document sharing.

Analytics & Reporting:

• Web Analytics: Google Analytics or similar for tracking website and application user behavior.

• Business Intelligence (BI) Tools: Platforms like Tableau, Power BI, or Looker for data analysis, dashboard creation, and KPI reporting.

• CRM Systems: Salesforce, HubSpot, or higher education-specific CRM solutions (e.g., Slate) for understanding the student journey and enrollment funnel.

CRM & Automation:

• CRM Integration: Understanding of how CRM data flows into product development and analytics.

• Workflow Automation Tools: Familiarity with tools or concepts related to automating enrollment processes or internal team workflows.

• Data Integration Tools: Awareness of how different systems (CRM, LMS, SIS, marketing automation) might integrate to provide a unified view.

📝 Enhancement Note: While specific tools aren't listed, the responsibilities and desired qualifications point towards a need for proficiency in standard product management software, analytics platforms, and a growing understanding of AI technologies and their application in enterprise environments.

👥 Team Culture & Values

Operations Values:

• Curiosity & Risk-Taking: Encouraged to explore new ideas and technologies, including AI, and to challenge the status quo.

• Student Success Focus: A core commitment to designing and delivering solutions that improve student outcomes and reduce barriers to achievement.

• Innovation & Scalability: Driving forward with cutting-edge technological solutions that can be delivered at scale across the university.

• Collaboration & Inclusivity: Valuing diverse perspectives and fostering an environment where employees are respected and encouraged to be their unique selves.

• Excellence & Problem-Solving: Striving for high-quality outcomes, embracing urgency, and proactively tackling challenges.

Collaboration Style:

• Cross-Functional Integration: Extensive collaboration is expected with design, engineering, research, data, and business stakeholders to ensure cohesive product development.

• Data-Informed Discussions: Discussions and decision-making are heavily influenced by data analysis and performance metrics.

• Iterative Feedback Loops: A culture that likely embraces regular feedback and continuous improvement through Agile methodologies.

• Open Communication: Encouragement for employees to be bold and share ideas, fostering an environment of transparency and mutual respect.

📝 Enhancement Note: The team culture at ASU EdPlus is characterized by a proactive, innovative, and student-centric approach. Employees are expected to be curious, embrace new technologies like AI, and work collaboratively to achieve ambitious goals in higher education.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Ethically and Effectively: Navigating the complexities of implementing AI solutions in a higher education setting, ensuring data privacy, fairness, and user trust.

• Balancing Innovation with Established Systems: Working within a large university structure to introduce new technologies while ensuring compatibility and integration with existing systems and processes.

• Managing Diverse Stakeholder Needs: Aligning the product vision and roadmap with the varied priorities and expectations of different university departments (Admissions, IT, Provost's Office, etc.).

• Rapid Technological Evolution: Staying current with the fast-paced advancements in AI and determining their practical application and value for enrollment products.

• Measuring Impact of New Technologies: Developing robust metrics and reporting mechanisms to demonstrate the ROI and effectiveness of AI-driven features and product enhancements.

Learning & Development Opportunities:

• AI & Machine Learning Specialization: Opportunities to attend workshops, training, or conferences focused on applied AI in product management and education.

• Advanced Product Strategy: Developing expertise in strategic planning, market analysis, and long-term product vision within a leading educational institution.

• Cross-Disciplinary Skill Building: Gaining exposure to UX research, data science, software engineering best practices, and educational technology trends.

• Leadership Development: Potential to lead larger projects, mentor junior team members, and contribute to strategic decision-making within ASU EdPlus.

• Access to University Resources: Leveraging ASU's vast academic and research resources for continuous learning and professional growth.

📝 Enhancement Note: The challenges are typical for a role at the forefront of technology integration in a large organization, particularly in the realm of AI. The growth opportunities are significant, especially for those looking to build a career in AI product management within the education sector.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for developing a product strategy for a new AI-powered feature within an enrollment platform. How would you incorporate user needs and business objectives?"

  • Preparation: Be ready to discuss market research, user segmentation, competitive analysis, defining objectives (SMART goals), and roadmap creation. Emphasize how AI capabilities align with these elements.

• "How would you prioritize competing demands from different stakeholders (e.g., Admissions, IT, Student Affairs) for features on an enrollment product roadmap?"

  • Preparation: Focus on frameworks for prioritization (e.g., RICE, MoSCoW), stakeholder management techniques, data-driven decision-making, and clear communication strategies.

• "Walk us through a time you identified a complex problem and used data analysis or process optimization to solve it. What was the outcome?"

  • Preparation: Prepare a STAR method (Situation, Task, Action, Result) answer. Highlight your analytical approach, the tools/methods used, and the quantifiable impact of your solution.

Company & Culture Questions:

• "What excites you about ASU EdPlus's mission and its approach to leveraging technology in higher education?"

  • Preparation: Research ASU EdPlus's mission, values, and recent initiatives. Connect your personal career aspirations and skills to their goals, particularly regarding innovation and student success.

• "How do you foster collaboration and communication within a hybrid or cross-functional team environment?"

  • Preparation: Discuss your experience with collaboration tools, Agile methodologies, facilitating effective meetings, and building relationships across different departments.

• "How do you measure the success of a product, especially one incorporating new technologies like AI?"

  • Preparation: Be ready to discuss key product metrics (KPIs), user engagement metrics, conversion rates, and how you'd establish baseline measurements and track improvements over time.

Portfolio Presentation Strategy:

• Focus on Impact: For each project, clearly articulate the problem, your role, the solution (especially AI/UX aspects), and the measurable results. Quantify achievements whenever possible.

• Tell a Story: Structure your portfolio presentation like a narrative. Guide the interviewer through your thought process, challenges faced, and how you overcame them.

• Demonstrate Process: Show how you work – your approach to user research, requirements gathering, roadmap planning, and stakeholder communication.

• Highlight AI/UX Integration: Specifically point out where AI or UX principles were central to a project's success. Explain the "why" behind your design or strategic choices.

• Be Prepared for Deep Dives: Anticipate questions about specific details of your projects, your decision-making process, and how you would apply similar approaches to ASU's challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, strong collaboration skills, a data-driven mindset, and a clear understanding of how to apply AI and UX principles to solve real-world problems in the higher education enrollment space.

📌 Application Steps

To apply for this UX Product Manager, AI position:

• Submit Application: Apply directly through the ASU Workday Jobs Hub using the provided link. Ensure you log in using single sign-on.

• Attach Required Documents:

  • Cover Letter: Tailor this to highlight your passion for EdTech, UX, and AI, and how your skills align with ASU EdPlus's mission.
  • Resume or CV: Ensure it clearly details your experience, including job titles, duties, and employment dates (month/year format), and explicitly demonstrates how you meet the minimum and desired qualifications.

• Portfolio Preparation:

  • Curate Examples: Select 2-3 key projects that best showcase your product management, UX strategy, and AI/automation experience. Prioritize examples with measurable impact.
  • Structure Your Narrative: Prepare a clear, concise presentation (e.g., slides, document) for each project, outlining the problem, your solution, the process, and the results.
  • Practice Your Pitch: Rehearse presenting your portfolio, focusing on storytelling and articulating your thought process for each case study.

• Company Research:

  • Understand ASU EdPlus: Familiarize yourself with their mission, values, current initiatives, and the broader ASU context.
  • Identify Potential Challenges: Think about how AI and UX can address specific challenges in higher education enrollment.
  • Prepare Questions: Formulate thoughtful questions about the role, team, and company culture to demonstrate your engagement and 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.