Product Designer - AI‑first Product Experiences

📍 Job Overview

Job Title: Product Designer - AI‑first Product Experiences

Company: EY

Location: Bengaluru, India

Job Type: Full-time

Category: Product Design / User Experience (UX)

Date Posted: May 02, 2026

Experience Level: Junior to Principal (Hiring at all levels)

Remote Status: Hybrid

🚀 Role Summary

• Design and deliver end-to-end AI-first product experiences, from problem framing to high-fidelity prototypes and implementation support, within EY's CTO Office.

• Transform complex enterprise domain challenges into intuitive, innovative, and user-centered workflows leveraging automation, machine learning, and agentic AI.

• Create and refine sophisticated data visualizations, dashboards, and insight-generating patterns to empower users in understanding and acting upon complex information.

• Employ AI tools within your own design workflow to accelerate ideation, exploration, prototyping, and user research, embodying an AI-native approach to product development.

• Foster a builder-driven, fast-loop culture with high ownership and collaboration, operating confidently in ambiguous, startup-like environments within a global enterprise.

📝 Enhancement Note: This role is situated within EY's CTO Office, indicating a strategic focus on innovation and the development of next-generation technology platforms. The "AI-first" and "AI-native" emphasis suggests a significant opportunity to pioneer new interaction paradigms and integrate advanced AI capabilities into enterprise solutions, demanding a forward-thinking design approach. The hiring at "all levels" implies a need for diverse skill sets and experience, from foundational design principles to advanced strategic thinking.

📈 Primary Responsibilities

• Own the complete product design lifecycle, including framing ambiguous problems, developing innovative concepts, creating detailed design specifications, and providing implementation support to engineering teams.

• Translate deep domain complexity inherent in enterprise workflows into elegant, world-class user experiences that prioritize clarity, innovation, simplicity, and modern design aesthetics.

• Design and implement AI-first interactions by effectively translating capabilities in automation, machine learning, and agentic AI into intuitive, user-centered patterns and workflows.

• Develop and iterate on compelling data visualization patterns, including interactive dashboards and actionable insights, to enhance user comprehension and decision-making capabilities.

• Clearly articulate design decisions, trade-offs, and concepts through compelling visual, verbal, and prototype-based storytelling to align and engage cross-functional partners and stakeholders.

• Drive structure, clarity, and forward momentum in a fast-paced, startup-like environment, navigating ambiguity with confidence and aligning diverse teams toward shared product outcomes.

• Proactively leverage AI tools and methodologies within your personal design workflow to enhance efficiency and explore new creative possibilities in ideation, exploration, prototyping, and user understanding.

📝 Enhancement Note: The responsibilities highlight a blend of strategic problem-solving and hands-on execution. The emphasis on "framing ambiguous problems" and "navigating ambiguity" points to a need for a designer comfortable with uncertainty and capable of defining problems as much as solving them. The requirement to "translate deep domain complexity" indicates that understanding intricate business processes and user needs within a professional services context will be critical.

🎓 Skills & Qualifications

Education: While specific degree requirements are not stated, a Bachelor's or Master's degree in Design (e.g., Interaction Design, UX Design, Graphic Design), Human-Computer Interaction (HCI), Computer Science, or a related field is typically expected for product design roles at this level. Exceptional candidates with a strong portfolio demonstrating equivalent experience and expertise will be considered.

Experience: The role is open to candidates from Junior to Principal levels, suggesting a broad range of experience is valued. This implies that candidates should tailor their application to demonstrate experience relevant to their career stage, focusing on problem-solving, design execution, and impact.

Required Skills:

• Product Design Expertise: Proven ability to own and execute end-to-end product design processes, from conceptualization to implementation.

• AI-First Design: Demonstrated understanding of and experience in designing for AI-powered features, automation, machine learning, and agentic AI. Curiosity and a proactive approach to exploring AI in design are essential.

• Prototyping: Proficiency in creating interactive prototypes at various fidelities (low to high) to communicate design concepts and user flows effectively.

• User Experience (UX) Design: Strong foundation in user-centered design principles, user research methodologies, and information architecture.

• Visual Design: Excellent visual design skills, including a refined aesthetic, typography, color theory, and layout principles, to create intuitive and engaging interfaces.

• Systems Thinking: Ability to understand and design complex interconnected systems, considering the broader ecosystem and long-term implications.

• Interaction Design: Skill in defining intuitive and efficient user interactions and workflows that simplify complex tasks.

• Data Visualization: Experience in designing effective charts, graphs, dashboards, and other visual representations of complex data to facilitate understanding and decision-making.

• Storytelling & Communication: Exceptional ability to communicate design decisions, rationale, and product vision clearly and persuasively through visual, verbal, and written means.

• Problem Framing: Aptitude for dissecting ambiguous and complex problems, defining scope, and identifying key user needs and business objectives.

Preferred Skills:

• Agentic AI Design: Specific experience or a strong understanding of designing for autonomous agents and their interaction patterns.

• Enterprise Software Design: Familiarity with the nuances and complexities of designing for enterprise-level applications and professional services environments.

• 0-1 and 1-n Product Development: Experience in both establishing new products from scratch and scaling existing ones.

• Design Tool Proficiency: Mastery of industry-standard design and prototyping tools (e.g., Figma, Sketch, Adobe Creative Suite, Protopie).

• AI Tool Integration: Experience using AI tools within design workflows (e.g., AI-powered ideation tools, content generation aids, research synthesis platforms).

📝 Enhancement Note: The "Hiring at all levels" instruction is critical. Junior candidates should emphasize foundational skills, learning agility, and a strong portfolio showcasing core design principles. Mid-level candidates should highlight ownership, problem-solving capabilities, and successful project execution. Senior and Lead/Principal candidates must showcase strategic thinking, leadership in design direction, experience with complex systems, and the ability to mentor others. The explicit mention of "Agentic AI" and "AI in your own workflow" suggests a strong preference for candidates who are not just aware of AI but actively experimenting with its application in design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Problem Framing: Showcase how you identify, define, and frame ambiguous or complex problems, including the methods used to understand user needs, business objectives, and technical constraints.

• Exploration & Alternatives: Present a diverse range of design explorations, iterations, and alternative solutions considered during the design process, demonstrating a thorough investigation of possibilities.

• Structure to Complexity: Provide clear examples of how you have successfully simplified complex domain challenges into elegant, intuitive, and manageable user workflows and interfaces.

• Final Outcomes & Impact: Clearly articulate the final design solutions and, where possible, their impact or outcomes. Quantifiable results (e.g., improved efficiency, user satisfaction metrics) are highly valued.

• Design Details & Craft: Demonstrate a meticulous attention to detail in UI design, interaction patterns, and visual aesthetics, showcasing refined craft that enhances usability and clarity.

• AI & Enterprise Context: Include examples of designing with or for AI, or designing for complex enterprise environments, to showcase relevant experience and curiosity.

Process Documentation:

• Workflow Design & Optimization: Illustrate your process for mapping, analyzing, and optimizing complex user workflows, showing how you identify bottlenecks and opportunities for improvement.

• Implementation & Automation: Provide examples of how your designs have been implemented, and how you've considered automation or AI capabilities in the design to drive efficiency.

• Measurement & Analysis: Demonstrate how you approach measuring the success of your designs, including the use of data and user feedback to inform iterative improvements.

📝 Enhancement Note: The portfolio requirements are strongly aligned with the responsibilities, emphasizing the transition from abstract problem-solving to tangible design execution. The specific request for "examples of designing with AI and designing for AI" is a key differentiator, suggesting that candidates who can demonstrate practical application of AI in their design process or in the products they've designed will have a significant advantage. The portfolio should not just be a showcase of finished work but a narrative of the design journey, highlighting strategic thinking and problem-solving methodologies.

💵 Compensation & Benefits

Salary Range: For a Product Designer role in Bengaluru, India, hiring at multiple levels, the salary range can vary significantly.

• Junior Product Designer: ₹8,00,000 - ₹15,00,000 per annum

• Mid-Level Product Designer: ₹15,00,000 - ₹25,00,000 per annum

• Senior Product Designer: ₹25,00,000 - ₹35,00,000 per annum

• Lead/Principal Product Designer: ₹35,00,000 - ₹50,00,000+ per annum

These figures are estimates based on industry benchmarks for Product Designers in major tech hubs in India, considering EY's status as a large, established professional services firm. Factors such as specific experience, interview performance, and the exact level of hiring will influence the final compensation package.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and dependents.

• Retirement Savings Plans: Contributions to provident funds (PF) or similar retirement schemes.

• Paid Time Off: Generous leave policies including vacation days, sick leave, and public holidays.

• Professional Development: Opportunities for training, certifications, workshops, and conferences, with a strong emphasis on AI and emerging technologies.

• Performance Bonuses: Annual performance-based bonuses tied to individual and company performance.

• Wellness Programs: Initiatives and resources focused on employee well-being, including mental health support.

• Hybrid Work Flexibility: Structured hybrid model allowing for a balance between in-office collaboration and remote work.

• Employee Assistance Program (EAP): Confidential counseling and support services for personal and work-related issues.

Working Hours: The standard working hours are typically 40 hours per week, from Monday to Friday. However, given the hybrid and startup-like culture within the CTO Office, there may be an expectation for flexibility to meet project deadlines, especially during critical development phases.

📝 Enhancement Note: The salary ranges provided are estimates derived from publicly available data for Product Designer roles in Bengaluru, India, across various experience levels, and adjusted for the standing of a global firm like EY. The "AI-first" and "CTO Office" context suggests that compensation for senior roles may lean towards the higher end, reflecting the specialized skills required. Benefits are standard for a large multinational corporation, with a particular emphasis on professional development that aligns with the role's focus on cutting-edge AI technologies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Professional Services (Consulting, Assurance, Tax, Strategy, Technology) with a strong focus on technology innovation. EY is a Big Four firm, renowned for its global reach, deep domain expertise across numerous sectors, and its role in shaping critical business and financial operations worldwide.

Company Size: EY is a massive global organization, employing over 400,000 people worldwide. The CTO Office functions with the agility of a startup within this vast enterprise, allowing for rapid iteration and innovation while leveraging the scale, resources, and credibility of the parent company.

Founded: Ernst & Young was formed in 1989 through the merger of Ernst & Whinney and Arthur Young & Co. The organization has a long history of adapting to market changes and technological advancements, now positioning itself at the forefront of AI integration.

Team Structure:

• CTO Office: This unit operates with a lean, fast-paced, and highly technical "startup within a global scale" ethos. It's builder-driven, focusing on reimagining core platforms and systems using AI.

• Cross-Functional Collaboration: Product Designers will work closely with Domain Subject Matter Experts (SMEs), Product Managers, Engineering teams, and AI/ML specialists.

• Reporting: While specific reporting lines aren't detailed, designers will likely report into a Design Lead or Head of Product within the CTO Office, with close collaboration across Product and Engineering leadership.

Methodology:

• AI-Native Experience Design: The core methodology involves designing products and experiences that are inherently built around AI capabilities, rather than simply adding AI features to existing frameworks.

• Agile & Iterative Development: The "fast-loop culture" and "startup with enterprise reach" suggest an agile development process with rapid feedback loops and iterative design improvements.

• Data-Driven Decision Making: While not explicitly stated, the nature of enterprise software and AI development implies a strong reliance on data analytics, user feedback, and performance metrics to inform design decisions and measure impact.

• Systems Thinking Approach: Designing for complex enterprise systems requires a holistic view, understanding how individual components interact and contribute to the overall functionality and user experience.

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

📝 Enhancement Note: The juxtaposition of EY's global scale and the CTO Office's startup-like agility is a key cultural differentiator. This means designers will need to adapt to both fast-paced innovation and the rigorous standards of a large, regulated professional services firm. The "builder-driven" culture indicates a preference for proactive individuals who can take initiative and contribute hands-on.

📈 Career & Growth Analysis

Operations Career Level: This role spans Junior to Principal levels, offering a broad spectrum of career progression within product design.

• Junior: Focuses on execution, learning core design skills, and contributing to defined tasks under guidance.

• Mid-Level: Takes ownership of features or smaller products, drives design solutions, and collaborates more independently.

• Senior: Leads design for significant product areas, mentors junior designers, contributes to design strategy, and navigates complex problems.

• Lead/Principal: Sets overarching design vision and strategy, influences product direction, mentors multiple teams or designers, and tackles the most ambiguous and impactful challenges.

Reporting Structure: Designers will report into design leadership within the EY CTO Office. Collaboration will be extensive with Product Management, Engineering, and AI/ML teams, forming cross-functional squads or pods focused on specific product initiatives. This structure fosters direct impact and visibility.

Operations Impact: Product Designers in this role will have a direct impact on how EY professionals and its clients leverage AI to perform complex tasks, enhance efficiency, and make informed decisions. By designing AI-first product experiences, they will shape the future of enterprise workflows, driving innovation, productivity, and competitive advantage for EY and its clients. The work directly supports EY's strategic goal of transforming its core platforms into intelligent, AI-powered solutions.

Growth Opportunities:

• AI Specialization: Deepen expertise in AI-first product design, agentic AI interactions, and leveraging AI in design workflows, becoming a subject matter expert in this rapidly evolving field.

• Enterprise Design Leadership: Progress into senior or principal design roles, leading design strategy for major platforms, mentoring teams, and influencing product roadmaps within a global enterprise.

• Cross-Functional Mastery: Develop a strong understanding of product management, AI/ML development, and professional services domain knowledge, enabling a more holistic approach to product creation.

• Innovation & Research: Contribute to "0-1" product development, exploring new AI paradigms and technologies, and potentially participating in research initiatives.

• Industry Exposure: Gain exposure to diverse enterprise challenges and solutions across various sectors served by EY, broadening design perspective and problem-solving capabilities.

📝 Enhancement Note: The multi-level hiring is a significant growth indicator. Candidates should identify their level and focus on the responsibilities and growth opportunities most relevant to their current stage. The "Operations Impact" section is tailored to reflect how product design contributes to the operational efficiency and strategic goals of a professional services firm.

🌐 Work Environment

Office Type: The role is based in Bengaluru and operates on a Hybrid model. This typically means a structured arrangement where employees are expected to work from the EY office for a set number of days per week (e.g., 2-3 days), with the remainder of the week allowing for remote work. This blend aims to foster in-person collaboration while providing flexibility.

Office Location(s): Bengaluru, India. Specific office details and amenities would be provided upon inquiry or during the interview process. The hybrid model implies access to a physical workspace equipped for collaboration and focused work.

Workspace Context:

• Collaborative Spaces: The EY office environment is designed to support teamwork, with meeting rooms, breakout areas, and open-plan seating that facilitates spontaneous interaction and knowledge sharing.

• Technology & Tools: Designers will have access to EY's robust IT infrastructure, including high-performance workstations, reliable internet connectivity, and potentially specialized software licenses for design and AI tools.

• Team Interaction: The hybrid model encourages focused collaboration on designated office days, allowing for intensive design reviews, brainstorming sessions, and direct interaction with product managers, engineers, and AI specialists. Remote days can be used for deep work, prototyping, and asynchronous communication.

Work Schedule: The standard work schedule is typically 9 AM to 5 PM IST, Monday to Friday, totaling 40 hours per week. However, the "startup with enterprise reach" and "fast-loop culture" may necessitate occasional flexibility to meet critical project deadlines or participate in global team syncs, particularly if collaborating with teams in different time zones.

📝 Enhancement Note: The hybrid nature of the work environment is a key aspect for candidates to consider. It suggests a need for self-discipline and effective time management to balance remote deep work with in-office collaborative sessions. The emphasis on collaboration indicates that strong communication and interpersonal skills are as important as design craft.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Submit resume and a portfolio link through EY Careers portal.

• Portfolio Review: Initial screening will focus on your portfolio, assessing problem framing, design process, execution, and impact, with a specific eye for AI-related experience.

• Hiring Manager/Recruiter Screen: A preliminary conversation to assess overall fit, experience level, and initial alignment with the role's requirements.

• Design Challenge/Case Study: Candidates may be asked to complete a design exercise or present a case study from their portfolio, focusing on how they approach complex problems, use AI, and articulate their design rationale.

• Team Interviews: Interviews with peers and potential team leads (Product Managers, Engineers, other Designers) to evaluate collaboration style, technical aptitude, and cultural fit.

• Senior Leadership Interview: A final discussion with senior design or CTO Office leadership to assess strategic thinking, leadership potential, and overall alignment with EY's vision.

Portfolio Review Tips:

• Narrative Flow: Structure your portfolio as a story, guiding reviewers through your problem-solving process, design iterations, and final outcomes.

• Show, Don't Just Tell: Use visuals, prototypes, and clear explanations to demonstrate your skills. Avoid lengthy blocks of text.

• Highlight AI Integration: Clearly showcase any projects where you've designed with or for AI, or leveraged AI tools in your workflow. Explain the challenges and your solutions.

• Focus on Impact: Quantify results whenever possible. Demonstrate how your designs have solved problems, improved user experience, or driven business value.

• Tailor to EY: If possible, subtly align your examples with the types of complex enterprise problems EY addresses, showcasing your understanding of the professional services context.

• Be Prepared to Discuss: Have a deep understanding of every project you present and be ready to answer in-depth questions about your decisions, trade-offs, and learnings.

Challenge Preparation:

• Understand the Context: If given a design challenge, take time to understand the problem space, target users, and business goals. Ask clarifying questions.

• Structure Your Approach: Outline your design process clearly: problem definition, research, ideation, prototyping, testing, and iteration.

• Emphasize AI: Think about how AI can be leveraged within the challenge context, both in the solution and potentially in your own design process.

• Communicate Clearly: Practice articulating your thought process and design decisions concisely and confidently.

• Focus on Rationale: Be prepared to justify every design choice, explaining the 'why' behind your decisions.

📝 Enhancement Note: The interview process emphasizes a strong portfolio as the primary screening tool. Candidates should meticulously curate their portfolios to highlight AI experience and complex problem-solving. The inclusion of a potential design challenge or case study presentation underscores the need for practical design skills and the ability to articulate design thinking under pressure.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator, XD), Protopie. Proficiency in at least one major design tool is essential.

• Collaboration & Communication: Microsoft Teams, Slack, Jira, Confluence. Effective use of these tools for cross-functional team communication and project management.

• AI Tools (Emerging): Familiarity with AI-assisted design tools (e.g., for ideation, content generation, research synthesis), and an eagerness to explore and adopt new AI-powered design workflows.

Analytics & Reporting:

• Data Visualization Tools: Tableau, Power BI, or similar platforms for understanding and presenting data insights.

• Product Analytics: Tools like Google Analytics, Amplitude, Mixpanel (or similar enterprise-grade solutions) for understanding user behavior and product performance.

• Dashboarding: Experience in designing clear and informative dashboards for various stakeholders.

CRM & Automation:

• While not primary design tools, familiarity with enterprise CRM systems (e.g., Salesforce) and business process automation concepts can be beneficial for understanding user contexts within EY's client services.

• Integration Tools: Understanding of how different systems connect and data flows, particularly in enterprise environments.

📝 Enhancement Note: The technology stack emphasizes modern design tools and collaboration platforms. The explicit mention of "AI Tools (Emerging)" and "AI-powered design workflows" highlights the company's forward-looking approach and the expectation for designers to be at the forefront of adopting AI in their practice. Proficiency in data visualization tools is also crucial, given the role's responsibility for designing dashboards and insights.

👥 Team Culture & Values

Operations Values:

• Trust & Integrity: Upholding the highest ethical standards, critical in a professional services organization that deals with sensitive client data and complex business operations.

• Collaboration & Teamwork: Fostering a supportive environment where diverse perspectives are valued, and collective problem-solving is encouraged. The hybrid model supports this through structured in-office collaboration.

• Excellence & Quality: A commitment to delivering high-quality work and continuously striving for improvement in design craft, user experience, and business impact.

• Innovation & Agility: Embracing new technologies, particularly AI, and working with the speed and adaptability of a startup to drive transformative product experiences.

• Client Focus: Understanding and addressing the complex needs of EY's clients and internal users, ensuring that designs deliver tangible value and enhance operational efficiency.

Collaboration Style:

• Cross-Functional Integration: Designers are expected to be active participants in cross-functional teams, working seamlessly with Product Managers, Engineers, AI/ML Specialists, and Domain SMEs.

• Open Communication: An environment that encourages open dialogue, constructive feedback, and transparent sharing of ideas and challenges.

• Builder-Driven Approach: A culture where individuals are empowered to take initiative, propose solutions, and contribute to the development process from ideation through to delivery.

• Learning & Experimentation: A willingness to explore new ideas, experiment with emerging technologies like AI, and learn from both successes and failures.

📝 Enhancement Note: The team culture emphasizes a blend of established professional values (trust, integrity, excellence) with a forward-thinking, innovative approach driven by AI and a startup mentality. This suggests designers need to be adaptable, collaborative, and driven to push boundaries while maintaining high standards.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating ill-defined problems and rapidly evolving AI technologies to create clear, effective user experiences.

• Complexity of Enterprise Systems: Translating intricate domain knowledge and business logic into intuitive interfaces for professional users.

• Pioneering AI Interactions: Defining new interaction patterns for AI-first products, including agentic AI, requires significant exploration and user validation.

• Balancing Innovation with Enterprise Standards: Integrating cutting-edge AI solutions while adhering to EY's robust quality, security, and compliance requirements.

• Accelerating Design Cycles: Leveraging AI tools to speed up design processes while maintaining quality and depth of exploration.

Learning & Development Opportunities:

• AI Specialization: Gaining deep expertise in designing for AI, machine learning, and agentic systems, becoming a go-to expert in this domain.

• Advanced Design Methodologies: Learning and applying advanced UX research, interaction design, and systems design techniques for complex enterprise products.

• Cross-Disciplinary Learning: Opportunities to learn from AI/ML engineers, data scientists, product managers, and domain experts, broadening technical and business acumen.

• Leadership Development: For senior candidates, opportunities to mentor junior designers, lead design initiatives, and contribute to strategic product decisions.

• Industry Exposure: Engaging with diverse challenges across various sectors that EY serves, providing a broad perspective on enterprise technology needs.

📝 Enhancement Note: The challenges highlight the cutting-edge nature of this role, requiring adaptability and a proactive approach to learning. The growth opportunities are substantial, offering a clear path for specialization in AI product design and leadership within a global organization.

💡 Interview Preparation

Strategy Questions:

• Problem Framing: "Describe a time you had to design for a highly ambiguous problem. How did you frame it, and what was your approach to finding clarity?" (Focus on your process: research, stakeholder interviews, defining scope, identifying core needs.)

• AI Integration: "How have you incorporated AI into your design process, or how would you design for an AI-first product like [hypothetical scenario]?" (Be ready to discuss AI tools you've used, your understanding of AI capabilities, and how you'd translate AI features into user benefits.)

• Systems Design: "Walk me through a complex system you've designed. What were the key components, how did they interact, and what were the critical design considerations?" (Emphasize your ability to think holistically and manage complexity.)

Company & Culture Questions:

• EY's AI Strategy: "What are your thoughts on EY's focus on AI-first product experiences? How do you see AI transforming professional services?" (Research EY's recent AI initiatives, their market position, and demonstrate enthusiasm for their vision.)

• Collaboration: "Describe your ideal collaboration style with engineers and product managers, especially in a hybrid environment." (Highlight your communication skills, adaptability, and ability to work effectively across disciplines.)

• Handling Feedback: "How do you handle constructive criticism or design feedback that challenges your initial ideas?" (Showcase your maturity, openness to iteration, and focus on the best outcome for the product.)

Portfolio Presentation Strategy:

• Start with the 'Why': For each case study, clearly articulate the problem, the user, and the business context before diving into your solution.

• Show Your Process: Don't just show final screens. Illustrate your journey: initial research, ideation sketches, wireframes, prototypes, user testing insights, and iterative changes.

• Quantify Impact: Wherever possible, use metrics and data to demonstrate the success of your designs. If direct metrics aren't available, discuss the intended impact and how you would measure it.

• Highlight AI Contributions: Clearly call out any AI-specific aspects of your work – whether designing for AI, using AI tools, or the resulting benefits.

• Be Concise and Engaging: Practice your presentation to be clear, within time limits, and engaging. Anticipate questions and prepare thoughtful answers.

📝 Enhancement Note: Interview preparation should strongly focus on demonstrating a structured design process, a forward-thinking approach to AI, and the ability to articulate complex design decisions and their impact. The portfolio presentation is critical, serving as the primary evidence of these skills.

📌 Application Steps

To apply for this Product Designer position:

• Submit Your Application: Navigate to the EY Careers portal and submit your resume and a link to your comprehensive design portfolio. Ensure your portfolio is easily accessible and showcases your best work.

• Curate Your Portfolio: Select 2-3 of your most relevant projects that best demonstrate your ability to frame ambiguous problems, design AI-first experiences, handle complexity, and achieve measurable outcomes. Prioritize projects that align with enterprise environments or showcase AI integration.

• Tailor Your Resume: Optimize your resume to highlight keywords from the job description, such as "Product Design," "AI-First," "User Experience," "Prototyping," "Systems Thinking," and "Agentic AI." Quantify your achievements with specific metrics where possible.

• Prepare Your Narrative: Practice articulating your design process, decision-making rationale, and the impact of your work for each portfolio project. Be ready to discuss your experience with AI tools and concepts in detail.

• Research EY & the CTO Office: Familiarize yourself with EY's mission, values, and recent technological initiatives, particularly in AI. Understand the context of the CTO Office and its role in driving innovation.

⚠️ 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.