Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer
Company: Microsoft
Location: Bangalore, Karnataka, India
Job Type: Full-Time
Category: Product Design / User Experience (UX) / Artificial Intelligence (AI)
Date Posted: October 23, 2025
Experience Level: Mid-Senior Level (5-10 years)
Remote Status: Remote OK (Hybrid arrangement possible)

🚀 Role Summary

• Drive the vision and strategy for AI-powered experiences within Dynamics 365 Supply Chain Management, focusing on Enterprise Resource Planning (ERP) transformation.
• Craft intuitive and effective user experiences that enable seamless collaboration between human users and AI agents in complex supply chain environments.
• Leverage cutting-edge AI and agent-based system expertise to anticipate disruptions and empower smarter decision-making for global supply chains.
• Collaborate closely with researchers, data scientists, and engineering teams to translate insights into impactful product design solutions.
• Champion accessibility and sustainability principles in the design of AI-first business solutions.

📝 Enhancement Note: The role is explicitly focused on AI-driven ERP solutions for supply chain management, indicating a specialized area within product design. The emphasis on "AI-powered experiences" and "agent-based systems" suggests a need for designers comfortable with complex, data-intensive applications and human-AI interaction. The "Remote OK" status implies flexibility, but the presence of "Bangalore, Karnataka, India" as a primary location suggests potential for hybrid work or team integration within that region.

📈 Primary Responsibilities

• Develop and articulate a compelling product vision and design strategy for AI-powered features in Dynamics 365 Supply Chain Management, aligning with business objectives and user needs.
• Lead the end-to-end design process, from conceptualization and user research to wireframing, prototyping, and high-fidelity UI design for AI-driven ERP solutions.
• Conduct user research, usability testing, and data analysis to inform design decisions and iterate on AI experiences for global supply chains.
• Design intuitive interfaces and interaction models that facilitate effective collaboration between users and AI agents, enhancing decision-making and operational efficiency.
• Translate complex research findings and data science insights into actionable design recommendations and tangible product features.
• Champion and integrate Microsoft's design principles, including accessibility, inclusivity, and sustainability, into all aspects of the product design.
• Collaborate effectively with cross-functional teams, including product management, engineering, research, and data science, to ensure successful product development and launch.
• Stay abreast of the latest advancements in AI, agent-based systems, and UX design trends to drive innovation and maintain a competitive edge.
• Mentor and guide junior designers, fostering a culture of learning, experimentation, and continuous improvement within the design team.
• Present design concepts, prototypes, and research findings to stakeholders at various levels, articulating the value proposition and design rationale.

📝 Enhancement Note: The responsibilities highlight a blend of strategic thinking, hands-on design execution, and cross-functional leadership. The emphasis on "leveraging insights" and "translating complex research" suggests the need for a designer who can bridge the gap between technical capabilities and user needs in a sophisticated enterprise context.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field, or equivalent practical experience.

Experience:

• 5-10 years of professional experience in product design, UX design, or a similar role, with a strong portfolio showcasing end-to-end design solutions for complex applications.
• Proven experience designing for enterprise software, supply chain management systems, or AI-driven products is highly desirable.

Required Skills:

• Product Design Expertise: Demonstrated ability to lead the design process from concept to execution, including user research, journey mapping, wireframing, prototyping, and visual design.
• AI & Agent-Based Systems Understanding: Familiarity with AI concepts, machine learning principles, and agent-based systems and their application in enterprise software.
• User Experience (UX) Design: Deep understanding of UX principles, interaction design, and information architecture to create intuitive and efficient user flows.
• Collaboration & Cross-Functional Partnership: Proven ability to work effectively with product managers, engineers, researchers, and data scientists in a fast-paced environment.
• Prototyping Tools: Proficiency in industry-standard design and prototyping tools (e.g., Figma, Sketch, Adobe XD, InVision).
• User Research & Usability Testing: Experience in planning and conducting user research, usability studies, and synthesizing findings into actionable design improvements.
• Communication & Presentation Skills: Excellent verbal and written communication skills, with the ability to articulate design decisions and rationale to diverse audiences.

Preferred Skills:

• Enterprise Resource Planning (ERP) Domain Knowledge: Familiarity with ERP systems, particularly in supply chain management, logistics, or manufacturing.
• Data Visualization: Experience designing dashboards and data visualization interfaces to present complex information clearly.
• Accessibility Design: Strong understanding of accessibility standards (e.g., WCAG) and experience designing inclusive products.
• Sustainability Design Principles: Awareness of and experience applying sustainability considerations in product design.
• Agile Development Methodologies: Experience working within Agile/Scrum development frameworks.
• Visual Design & UI Principles: Strong aesthetic sensibility and a deep understanding of visual design principles and UI patterns.

📝 Enhancement Note: The emphasis on "AI expertise" and "agent-based systems" alongside traditional product design skills is crucial. Candidates should be ready to demonstrate how they've incorporated AI or complex automation into their past designs. The "5-10 years" experience level suggests a need for strategic thinking and leadership capabilities, not just execution.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies Showcasing AI Integration: Detailed case studies demonstrating your process in designing AI-powered features, human-AI collaboration, or agent-based systems. Highlight the problem, your approach, the design solutions, and the impact.
• End-to-End Design Process: Showcase a comprehensive design journey, from initial research and problem definition through to final UI and user testing, for at least one significant project.
• User-Centric Problem Solving: Present examples where you identified user pain points or business challenges and designed innovative solutions to address them.
• Prototyping & Interaction Design: Include interactive prototypes or detailed descriptions of complex interaction flows you have designed.
• Cross-Functional Collaboration Examples: Briefly describe how you collaborated with engineers, researchers, or data scientists on a project, emphasizing your role and contributions.

Process Documentation:

• Design Thinking Methodology: Clearly articulate your design thinking process, including how you conduct user research, synthesize findings, ideate, prototype, and iterate.
• Data-Informed Design: Demonstrate how you use data (user analytics, A/B test results, research insights) to inform and validate design decisions.
• Collaboration Workflows: Illustrate how you structure design reviews, gather feedback, and integrate input from various stakeholders.
• System-Level Thinking: Show an understanding of how your designs fit into a larger system architecture, particularly concerning data flow and AI model integration.

📝 Enhancement Note: For a Senior Product Designer role, especially in AI and enterprise software, the portfolio needs to go beyond visual mockups. It should clearly articulate the candidate's thought process, problem-solving approach, and ability to handle complex technical and user challenges. Demonstrating experience with AI integration and cross-functional collaboration is key.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior Product Designers with 5-10 years of experience in Bangalore, India, the estimated annual salary range is ₹18,00,000 to ₹30,00,000. This range can vary based on the candidate's specific experience, skills, and the final negotiation.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and dependents.
• Retirement Savings Plan: Contributions to a provident fund or similar retirement savings scheme.
• Paid Time Off (PTO): Generous vacation days, sick leave, and public holidays.
• Professional Development: Opportunities for training, certifications, conferences, and further education.
• Employee Stock Purchase Program (ESPP): Option to purchase Microsoft stock at a discounted rate.
• Wellness Programs: Initiatives focused on employee well-being, including fitness stipends and mental health resources.
• Flexible Work Arrangements: Support for remote work and hybrid models, promoting work-life balance.
• Parental Leave: Paid leave for new parents.
• Employee Discounts: Discounts on Microsoft products and services.

Working Hours:

• Standard working hours are typically 40 hours per week, Monday to Friday. However, given the "Remote OK" status and the nature of product development, some flexibility may be expected, with potential for occasional extended hours to meet project deadlines or collaborate across time zones.

📝 Enhancement Note: The salary range is an estimate based on publicly available data for similar roles in Bangalore, India, considering Microsoft's standing as a major tech employer. Specific benefits are typical for large tech companies like Microsoft and are tailored to attract and retain talent in the operations and design fields.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software, Cloud Computing, Artificial Intelligence, Enterprise Solutions)
Company Size: Large Enterprise (Microsoft has over 200,000 employees globally)
Founded: 1975

Team Structure:

• AI-ERP Design Studio: This role is part of a specialized design team focused on the future of AI in Enterprise Resource Planning, specifically within Dynamics 365 Supply Chain Management.
• Cross-Functional Collaboration: The team works closely with Product Management, Engineering, Data Science, and Research departments to drive product innovation from concept to launch.
• Reporting: The Senior Product Designer will likely report to a Design Lead or Director, with close collaboration across various product groups and research initiatives within Microsoft's ERP division.

Methodology:

• Data-Driven Design: Emphasizes using data, user insights, and experimentation to inform design decisions.
• Agile Development: Operates within agile methodologies to ensure iterative development, rapid feedback loops, and continuous improvement.
• Human-Centered Design: Focuses on understanding user needs, behaviors, and contexts to create solutions that are useful, usable, and desirable.
• AI-First Approach: Prioritizes leveraging artificial intelligence and agent-based systems to create intelligent, proactive, and autonomous experiences.

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

📝 Enhancement Note: Microsoft's culture is characterized by a "growth mindset," a commitment to innovation, and a focus on empowering individuals and organizations. For this role, the culture emphasizes pushing boundaries in AI and enterprise solutions, fostering collaboration, and maintaining a strong ethical framework for technology development.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor / Emerging Leader
Reporting Structure: Reports to a Design Lead or Director within the Dynamics 365 Supply Chain Management AI team. Works closely with Product Managers and Engineering Leads.
Operations Impact: This role has a direct impact on the future direction of Microsoft's AI-powered ERP solutions, influencing how businesses manage their supply chains globally. Successful designs will drive user adoption, operational efficiency, and competitive advantage for Microsoft's customers.

Growth Opportunities:

• Leadership in AI Design: Opportunity to become a recognized leader in designing AI-first enterprise solutions, shaping industry best practices.
• Skill Specialization: Deepen expertise in AI, agent-based systems, complex enterprise UX, and supply chain management.
• Cross-Functional Mobility: Potential to move into related roles within product management, research, or other design domains within Microsoft.
• Mentorship & Team Development: Opportunity to mentor junior designers and contribute to building a high-performing design team.
• Impactful Projects: Work on cutting-edge technologies that have a tangible impact on global businesses and industries.

📝 Enhancement Note: As a Senior Product Designer at Microsoft, the growth path is not just vertical but also horizontal. The role offers significant opportunities to specialize in a high-demand area like AI in enterprise, gain leadership experience, and potentially transition into management or strategic roles within the company.

🌐 Work Environment

Office Type: Hybrid work environment with options for remote work. Microsoft offices are typically modern, collaborative spaces designed to support innovation and teamwork.
Office Location(s): Primary location is Bangalore, Karnataka, India, with potential access to Microsoft's extensive office facilities there.

Workspace Context:

• Collaborative Spaces: Access to modern office spaces equipped with tools and technologies to facilitate brainstorming, prototyping, and team collaboration.
• Remote Work Infrastructure: Robust support and tools for remote collaboration, ensuring seamless connectivity and productivity regardless of location.
• Access to Expertise: Opportunity to work alongside world-class researchers, data scientists, engineers, and designers within Microsoft's global network.
• Innovation Labs: Potential access to internal innovation labs or sandboxes for experimentation with new technologies.

Work Schedule:

• Standard 40-hour work week, typically Monday to Friday. Flexibility is provided, especially for remote employees, to accommodate work-life balance and global team collaboration. Occasional adjustments may be needed to align with project timelines and international team schedules.

📝 Enhancement Note: The "Remote OK" status is a significant aspect, suggesting a modern, flexible work environment. However, for a role involving deep collaboration and AI development, the Bangalore office likely serves as a hub for in-person team integration and strategic planning sessions, offering a blend of remote flexibility and in-office collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, interest, and cultural fit.
• Portfolio Presentation & Design Challenge: A key stage where candidates present their portfolio, focusing on relevant case studies demonstrating AI design, problem-solving, and end-to-end process. This is often followed by a design exercise or whiteboard challenge related to AI-driven enterprise scenarios.
• Technical/Design Interviews: In-depth discussions with senior designers, product managers, and potentially engineers, exploring design philosophy, technical understanding, and problem-solving skills.
• Hiring Manager Interview: Discussion with the hiring manager to assess leadership potential, strategic thinking, and team fit.
• Final Round/Executive Interview: May involve higher-level stakeholders discussing vision, impact, and alignment with Microsoft's strategic goals.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best demonstrate your experience with AI, enterprise applications, complex problems, and your end-to-end design process.
• Tell a Story: For each case study, clearly articulate the problem, your role, the process you followed, the challenges you faced, your design solutions, and the measurable impact/outcomes. Use visuals effectively.
• Highlight AI & Collaboration: Specifically call out how you incorporated AI, designed for human-AI interaction, or collaborated with technical teams like data scientists.
• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., increased user adoption, improved efficiency, reduced error rates).
• Be Prepared to Discuss: Anticipate questions about your design choices, trade-offs, and how you would approach new challenges.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with Dynamics 365 Supply Chain Management, ERP concepts, and common challenges in supply chain operations.
• Think AI-First: Consider how AI can solve specific problems in the supply chain domain (e.g., predictive maintenance, demand forecasting, route optimization, anomaly detection).
• Focus on User Context: Frame your solutions around the user's workflow and how AI can augment their capabilities, not replace them entirely.
• Structure Your Thinking: For whiteboard challenges, clearly articulate your assumptions, define the problem, brainstorm solutions, and discuss trade-offs.

📝 Enhancement Note: The interview process for a senior role at Microsoft will be rigorous, emphasizing both design craft and strategic thinking. Portfolio presentations are critical, and candidates should be prepared to deeply articulate their decision-making process, especially concerning AI integration and complex enterprise challenges.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD, InVision, Axure RP
• User Research & Testing: UserTesting.com, Lookback, Maze, Dovetail
• Collaboration & Communication: Microsoft Teams, Slack, Jira, Confluence

Analytics & Reporting:

• Data Analysis: Excel, Power BI, Tableau
• User Analytics: Google Analytics, Adobe Analytics, Mixpanel

CRM & Automation:

• CRM: Dynamics 365 CRM (as the context for the product)
• AI/ML Platforms (Familiarity): Azure Machine Learning, TensorFlow, PyTorch (understanding how designs interact with these)
• Integration Platforms (Conceptual Understanding): APIs, Azure Logic Apps, Power Automate

📝 Enhancement Note: Proficiency in industry-standard design tools is expected. Beyond that, familiarity with how designs interact with AI/ML platforms and enterprise systems like Dynamics 365 is highly advantageous for this specialized role.

👥 Team Culture & Values

Operations Values:

• Customer Focus: A deep commitment to understanding and serving customer needs, driving value through innovative solutions.
• Growth Mindset: Embracing challenges, learning from failures, and continuously seeking to improve and innovate.
• Diversity & Inclusion: Building a culture where everyone feels respected, valued, and empowered to contribute their best work.
• Integrity & Accountability: Upholding high ethical standards and taking ownership of outcomes.
• Collaboration: Fostering an environment where teamwork and collective problem-solving are paramount.

Collaboration Style:

• Cross-Functional Synergy: Emphasis on close collaboration between design, product management, engineering, and research to ensure alignment and shared ownership of product success.
• Iterative Feedback Loops: Encouraging continuous feedback and iteration throughout the design and development process.
• Knowledge Sharing: Promoting the sharing of insights, best practices, and learnings across teams and the broader design community within Microsoft.
• Data-Informed Decision Making: Utilizing data and user insights to guide discussions and validate design approaches.

📝 Enhancement Note: Microsoft's core values are deeply embedded in its culture. For this AI-focused role, expect a culture that values pushing technological boundaries responsibly, fostering a collaborative and inclusive environment, and maintaining a strong ethical compass in AI development.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Translating sophisticated AI capabilities and agent-based systems into intuitive and trustworthy user experiences.
• Balancing Innovation with Usability: Ensuring cutting-edge AI features are practical, reliable, and do not overwhelm users in a demanding enterprise environment.
• Cross-Disciplinary Collaboration: Effectively bridging the gap between design, data science, and engineering to achieve product goals.
• Anticipating Future Needs: Designing solutions that are not only relevant today but also adaptable to the rapidly evolving landscape of AI and supply chain management.
• Ethical AI Considerations: Navigating the ethical implications of AI in enterprise decision-making and ensuring fairness, transparency, and accountability.

Learning & Development Opportunities:

• AI & ML Specialization: Access to internal training, workshops, and resources to deepen understanding of AI/ML technologies and their application in design.
• Industry Conferences & Events: Opportunities to attend leading design, AI, and supply chain technology conferences.
• Mentorship Programs: Pairing with experienced leaders within Microsoft for guidance and career development.
• Internal Design Communities: Engaging with Microsoft's vast network of designers for knowledge sharing, skill development, and networking.
• Leadership Development: Potential pathways for developing leadership skills through project leadership, team mentorship, and strategic initiatives.

📝 Enhancement Note: The challenges in this role are unique and exciting, revolving around pioneering AI in a critical business domain. The growth opportunities are substantial, offering a chance to shape the future of enterprise AI and build a career at the forefront of technological innovation.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an AI agent to help supply chain managers proactively identify and mitigate potential disruptions?" (Focus on user needs, AI capabilities, interaction models, and trust.)
• "Describe a time you had to translate complex data science insights into a user-friendly product feature. What was your process?" (Highlight your analytical skills and ability to bridge technical and user domains.)
• "How do you balance innovation with the need for reliability and usability in enterprise software, especially when dealing with AI?" (Discuss trade-offs, iterative design, and user testing.)

Company & Culture Questions:

• "What excites you most about Microsoft's mission and our work in AI and ERP?" (Show genuine interest and alignment with company values.)
• "How do you contribute to a growth mindset culture within a design team?" (Discuss your approach to learning, feedback, and embracing challenges.)
• "Describe your experience working with diverse teams. How do you ensure inclusivity in your design process?" (Demonstrate collaboration and empathy.)

Portfolio Presentation Strategy:

• Focus on Impact: For each case study, emphasize the problem you solved, your unique contribution, and the measurable outcomes.
• Articulate Your Process: Clearly explain your design thinking, research methods, and how you iterated based on feedback and data.
• Showcase AI & Collaboration: Detail how you integrated AI or designed for human-AI interaction, and how you collaborated with technical teams.
• Be Ready for Deep Dives: Anticipate questions about specific design choices, technical constraints, and alternative solutions you considered.
• Visual Storytelling: Use your slides to guide the narrative, keeping text concise and visuals impactful.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, a deep understanding of AI's application in enterprise contexts, and strong collaboration skills. Candidates should be ready to discuss their portfolio in detail and articulate how their design philosophy aligns with Microsoft's values and innovation goals.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the Microsoft Careers portal.
• Tailor your resume: Highlight experience in product design, AI, enterprise software, and cross-functional collaboration. Use keywords from the job description.
• Prepare your portfolio: Curate 2-3 strong case studies that showcase your AI design experience, end-to-end process, and ability to solve complex problems. Ensure clear articulation of your role and impact.
• Research Microsoft's AI initiatives: Familiarize yourself with their approach to AI, Dynamics 365, and supply chain solutions to better align your responses.
• Practice your portfolio presentation: Be ready to walk through your case studies confidently, articulating your design decisions and outcomes. Prepare for potential design challenges or scenario-based questions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details, especially regarding compensation and specific benefits, should be verified directly with Microsoft's hiring team during the application process.