Product Designer - MAI Health

📍 Job Overview

Job Title: Principal Product Designer - MAI Health

Company: Microsoft

Location: London, England, United Kingdom

Job Type: FULL_TIME

Category: Product Design / User Experience

Date Posted: 2026-08-17T18:46:20

Experience Level: 10+ Years

Remote Status: Hybrid (4 days in office expected)

🚀 Role Summary

• Drive end-to-end product design for AI-powered health applications, focusing on user needs, trust, and positive societal impact within the Microsoft AI Health team.

• Own a significant product area, conceptualizing and delivering world-class consumer experiences from initial vision through launch and iteration.

• Collaborate closely with cross-functional teams, including product managers, AI model training specialists, and engineers, to translate business goals into actionable design strategies and technical requirements.

• Leverage data and user research to define product requirements, set performance indicators, oversee experiments, and measure success for AI-driven health solutions.

📝 Enhancement Note: This role is a Principal Product Designer position, indicating a senior-level individual contributor role with significant autonomy and impact. The focus on "zero-to-one" product development suggests a need for strong strategic thinking, innovation, and the ability to navigate ambiguity within a fast-paced, "start-up like" environment within Microsoft. The emphasis on AI, LLMs, and generative AI specifically points to a need for candidates comfortable with cutting-edge technology.

📈 Primary Responsibilities

• Architect and deliver exceptional AI-driven consumer applications with a strong emphasis on user experience, product quality, trustworthiness, and positive health outcomes.

• Take ownership of a designated product area, from initial user research and needs assessment to defining product requirements, overseeing the complete product development lifecycle, and managing iterative improvements post-launch.

• Facilitate seamless cross-functional communication and manage dependencies effectively, ensuring clear scoping, scheduling, and execution of design implementation in close partnership with engineering teams.

• Proactively identify and overcome roadblocks, developing innovative approaches to bring user-centric designs to market efficiently and iteratively.

• Establish and maintain high standards for design excellence, product quality, and user satisfaction within the team and for the product.

• Translate complex business objectives and AI model capabilities into intuitive user experiences and precise technical specifications, working collaboratively with UX designers and AI model training teams.

• Define clear goals and key performance indicators (KPIs) for product initiatives, design and implement experiments, and utilize both qualitative and quantitative data analysis to measure and drive design impact.

• Foster strong collaborative relationships with product managers, designers, engineers, and other stakeholders, ensuring clear communication and alignment throughout the product development process.

📝 Enhancement Note: The responsibilities highlight a blend of strategic ownership and tactical execution. "Ship world-class AI applications" and "own an entire product area" point to a need for end-to-end product lifecycle management. The emphasis on "cross-functional communication," "dependency management," and "collaborating with engineering through the finish line" underscores the importance of strong interpersonal and project management skills. The mention of "finding your own path to get things done despite roadblocks" suggests a need for proactivity and problem-solving in a potentially ambiguous environment.

🎓 Skills & Qualifications

Education:

• Master's Degree in Industrial Design, Product Design, Human Computer Interaction (HCI), User Experience (UX), Interaction Design, or a related field AND 6+ years of experience in product or service design.

• OR Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction (HCI), User Experience (UX), Interaction Design, or a related field AND 8+ years of experience in product or service design.

• OR equivalent practical experience (e.g., demonstrated experience working in product or service design or using design thinking to solve complex problems). Experience:

• Extensive experience in product or service design, with a strong focus on consumer-facing applications.

• Proven ability to lead and manage the entire product design lifecycle, from concept generation to successful launch and iteration.

• Experience working in fast-paced, ambiguous, and "start-up like" environments. Required Skills:

• Product Design: Expertise in crafting user-centered product experiences for digital applications.

• User Experience (UX) & Interaction Design (IxD): Deep understanding of UX principles and interaction design patterns to create intuitive and engaging interfaces.

• Design Thinking: Proficient application of design thinking methodologies to problem-solving and innovation.

• Cross-functional Communication: Excellent ability to articulate design concepts and collaborate effectively with diverse teams (Product Management, Engineering, AI Research).

• AI Product Development: Experience or strong aptitude for designing products that leverage Artificial Intelligence, including generative AI and Large Language Models (LLMs).

• Data-Driven Decision Making: Ability to use user research (qualitative and quantitative) and performance metrics to inform design choices and measure impact.

• Strategy Development: Capability to translate business objectives into compelling product visions and design strategies.

• Stakeholder Management: Skill in managing expectations and driving alignment with various stakeholders across the organization.

Preferred Skills:

• Advanced Degree & Experience: Master's Degree with 8+ years of experience or Bachelor's Degree with 12+ years of experience in a relevant design field.

• Portfolio: A strong portfolio showcasing the successful delivery of world-class consumer products from inception to launch, demonstrating impact and craft.

• Engineering Collaboration: Proven ability to work closely with engineering teams to ensure design fidelity and successful implementation.

• Advocacy for Design: Demonstrated ability to champion design thinking and influence design outcomes in challenging environments.

• Inclusive Collaboration: Experience contributing to a positive, inclusive work environment, fostering knowledge sharing and team growth.

• Agile/Startup Environment: Ability to thrive in a fast-paced environment, manage multiple priorities, and adapt to changing requirements.

• Design Vision: Track record of setting a bold design vision for innovative products requiring risk-taking.

• Phased Execution: Skill in breaking down large projects into manageable phases and leading teams through execution.

• Research & Signals: Experience leveraging both qualitative and quantitative research signals to drive design decisions.

• LLM Prompting & Generative AI: Experience prompting LLMs, working with generative AI, or a strong demonstrated curiosity and desire to learn in this area.

• Healthcare Domain Knowledge: Familiarity with the healthcare space is a plus.

📝 Enhancement Note: The qualifications clearly indicate a senior-level role requiring a substantial portfolio and a deep understanding of the entire product design lifecycle. The emphasis on "AI product development," "LLM prompting," and "generative AI" is critical for this specific role within Microsoft AI Health. The distinction between required and preferred qualifications helps candidates understand where to focus their application materials.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Product Case Studies: Showcase 2-3 comprehensive case studies detailing your involvement in shipping world-class consumer products from concept to launch. Each case study should clearly articulate the problem, your role, the design process, key decisions, challenges, and measurable outcomes.

• AI/Generative AI Focus: Highlight any projects involving AI, machine learning, LLMs, or generative AI, demonstrating your approach to designing for these complex technologies.

• Problem-Solving & Innovation: Include examples that demonstrate your ability to tackle ambiguous problems, innovate, and drive design solutions in fast-paced environments.

• User-Centricity & Data Integration: Present work that clearly shows how user needs and research (qualitative and quantitative) informed your design decisions, leading to tangible user impact.

• Collaboration & Impact: Illustrate how you collaborated with engineering, product management, and other stakeholders to bring designs to life and achieve business/user goals.

Process Documentation:

• Design Process Articulation: Be prepared to clearly articulate your personal design process, including how you approach user research, ideation, prototyping, user testing, and iteration.

• Agile & Iterative Workflows: Demonstrate experience with iterative development cycles, agile methodologies, and how you adapt your design process to fit these environments.

• Metrics & Measurement: Show how you define and track success metrics for your designs, and how you use data to iterate and improve products.

• System Thinking: For AI-driven products, be ready to discuss how you consider the broader system, including data pipelines, model training, and user feedback loops.

📝 Enhancement Note: For senior design roles, especially those involving cutting-edge technology like AI, a robust portfolio is paramount. The focus should be on demonstrating impact, strategic thinking, and the ability to navigate complex design challenges. Specific emphasis on AI and end-to-end ownership is crucial.

💵 Compensation & Benefits

Salary Range:

• The typical base pay range for this role across the United Kingdom is £93,500.00 - £161,800.00 per year.

• This range reflects the seniority of a Principal Product Designer (IC5 level) within Microsoft's UK compensation structure. Benefits:

• Microsoft typically offers a comprehensive benefits package, which may include:

  • Health and Wellness Programs (e.g., medical, dental, vision coverage, wellness stipends).
  • Retirement Savings Plans (e.g., 401(k) or equivalent pension contributions).
  • Paid Time Off (PTO) and Holidays, including potential for flexible vacation policies.
  • Stock Awards or Equity options (common for senior roles at Microsoft).
  • Professional Development opportunities, including training, conferences, and access to learning resources.
  • Employee Assistance Programs (EAP) for mental health and well-being support.
  • Potential for relocation assistance if applicable.
  • Access to Microsoft products and services at discounted rates.

• Specific details for this role can be found at: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html

Working Hours:

• Standard full-time working hours are typically 40 hours per week.

• The role is designated as Hybrid, with an expectation of 4 days per week in the London office. This suggests a need for structured workdays to balance in-office collaboration with remote focus time.

📝 Enhancement Note: The salary range provided is for the UK market and aligns with a Principal level role at a major tech company like Microsoft. The mention of "certain roles may be eligible for benefits and other compensation" is standard, but the provided link offers more specific details. The hybrid work arrangement with a specific office day expectation is important for candidates to note.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software / Artificial Intelligence / Healthcare Technology

Company Size: Microsoft is a large, global technology corporation with tens of thousands of employees worldwide. This implies a robust organizational structure, extensive resources, and established processes, alongside opportunities for specialized teams to operate with a degree of autonomy, akin to a "start-up like" environment within the larger entity, particularly in emerging areas like AI Health.

Founded: 1975, indicating a long history of innovation and adaptation within the tech industry.

Team Structure:

• The MAI Health team is part of Microsoft AI, focusing on developing an AI Companion with emotional intelligence for personal use, specifically targeting health and well-being management.

• This team likely comprises a diverse group of experts, including Product Managers, UX Designers, AI Engineers, Researchers, Data Scientists, and Software Developers.

• The reporting structure for this Principal Product Designer role is likely to be within a design leadership hierarchy, with direct reporting to a Design Lead or Director, and close collaboration with Product Management and Engineering leads for the specific product area.

• Cross-functional collaboration is a cornerstone, with designers working intimately with AI model trainers, product managers, and engineers to ensure user needs are met and AI capabilities are translated effectively into user experiences. Methodology:

• Data-Driven Product Development: Emphasis on using both qualitative user research and quantitative data to inform product strategy, design decisions, and measure the impact of AI features.

• Agile and Iterative Design: The "start-up like" environment suggests an agile approach, focusing on rapid prototyping, continuous feedback loops, and iterative improvement to deliver value quickly.

• Human-Centered AI: A core focus on ensuring AI products are useful, trusted, safe, and designed with empathy and emotional intelligence, particularly crucial in the health domain.

• Cross-Functional Alignment: Processes are designed to ensure tight collaboration between design, product management, and engineering to bridge the gap between user needs, business goals, and technical feasibility.

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

📝 Enhancement Note: Understanding Microsoft's culture as a large, established tech giant with dedicated innovation hubs (like Microsoft AI) is key. The MAI Health team's mission is ambitious, aiming to create a deeply personal AI companion for health. The "start-up like" environment within Microsoft suggests a need for adaptability, proactivity, and a bias for action, even within a structured corporate framework.

📈 Career & Growth Analysis

Operations Career Level: Principal Product Designer (IC5)

• This level signifies a senior individual contributor role with significant autonomy and responsibility.

• Principals are expected to lead complex, ambiguous projects, set strategic direction for product areas, mentor junior team members, and influence design standards across teams.

• They are recognized experts in their domain, capable of driving significant product innovation and impact. Reporting Structure:

• The Principal Product Designer will likely report to a Design Manager or Director within the Microsoft AI Health organization.

• They will work in close partnership with Product Managers and Engineering Leads responsible for the same product area, forming a core "pod" or "squad."

• This structure fosters tight collaboration and shared ownership of product outcomes. Operations Impact:

• The impact of this role is directly tied to shaping the user experience of a groundbreaking AI product aimed at improving millions of users' health and well-being.

• Success will be measured by the adoption, engagement, and positive health outcomes driven by the product, as well as the trustworthiness and safety of the AI applications.

• The role has the potential to influence the future of personal AI assistants and their application in sensitive domains like healthcare. Growth Opportunities:

• Technical Specialization: Deepen expertise in designing for AI, generative AI, and LLMs, becoming a go-to expert within Microsoft.

• Leadership & Mentorship: Grow into a design leadership role, mentoring junior designers, leading design initiatives, and influencing design strategy across larger product portfolios.

• Product Strategy & Vision: Take on more strategic responsibilities, contributing to the long-term vision and roadmap for Microsoft's AI health offerings.

• Cross-Functional Mobility: Opportunity to move into related roles such as Product Management or program management within the AI or Health tech space.

• Industry Influence: Contribute to the broader discourse and best practices in designing ethical and impactful AI products, particularly in healthcare.

📝 Enhancement Note: The Principal level implies a path beyond individual contribution towards leadership and strategic influence. The "zero-to-one" aspect of the role offers significant opportunities for impact and personal growth by shaping a product from its inception.

🌐 Work Environment

Office Type: Hybrid work environment within Microsoft's London office. This suggests a modern, well-equipped workspace designed to facilitate collaboration, innovation, and focused work.

Office Location(s): London, England, United Kingdom. This provides access to a major global hub with excellent transport links and a vibrant tech ecosystem.

Workspace Context:

• Collaborative Spaces: The office will likely feature various collaborative areas, meeting rooms, and open spaces conducive to team brainstorming sessions and cross-functional discussions.

• Technology & Tools: Access to Microsoft's cutting-edge internal tools, hardware, and software, including powerful workstations, design software licenses, and potentially VR/AR equipment for immersive design exploration.

• Team Interaction: The hybrid model with 4 days in the office is designed to maximize face-to-face interaction for key design sprints, team meetings, and relationship building, while allowing for focused individual work remotely.

• Innovation Hub: As part of Microsoft AI, the workspace will likely foster an environment of rapid experimentation and cutting-edge development.

Work Schedule:

• A standard 40-hour work week is typical, with flexibility expected to meet project deadlines and accommodate global team interactions.

• The hybrid schedule requires structured planning to ensure optimal use of in-office days for collaboration and remote days for deep work.

📝 Enhancement Note: The hybrid nature of the role is a key aspect. Candidates should be prepared for a structured schedule that balances in-office collaboration with remote work, requiring good time management and communication skills.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, assessing alignment with the core qualifications and experience.

• Portfolio Review & Interview: A dedicated session to present your portfolio. This is a critical stage where you'll walk through your case studies, explaining your design process, rationale, and impact. Expect deep dives into your contributions and decision-making.

• Design Challenge/Whiteboarding: You may be asked to solve a design problem on the spot, demonstrating your problem-solving skills, design thinking process, and ability to articulate solutions under pressure. This could involve sketching, wireframing, or discussing user flows.

• Cross-Functional Interviews: Interviews with potential peers and stakeholders, including Product Managers, Engineers, and other Designers. These interviews assess your collaboration style, communication skills, technical understanding, and cultural fit.

• Hiring Manager/Leadership Interview: A final interview with the hiring manager or a senior design leader to assess overall fit, strategic thinking, leadership potential, and alignment with Microsoft's values.

Portfolio Review Tips:

• Curate Selectively: Choose 2-3 of your strongest, most relevant projects that best showcase your end-to-end ownership, AI design experience, and impact.

• Tell a Story: For each case study, clearly articulate the problem, your role, the user needs, your design process, key decisions, challenges, and the measurable outcomes. Focus on why you made certain choices.

• Highlight AI/LLM Experience: Explicitly detail your involvement in projects related to AI, generative AI, or LLMs. Explain your approach to designing for these technologies, including user safety, trust, and ethical considerations.

• Quantify Impact: Use data and metrics whenever possible to demonstrate the success of your designs (e.g., increased user engagement, improved task completion rates, positive user feedback).

• Showcase Collaboration: Illustrate how you worked with cross-functional teams, managed feedback, and navigated trade-offs.

• Be Prepared for Questions: Anticipate questions about your design process, decision-making, challenges faced, and how you would approach specific scenarios related to AI and health.

Challenge Preparation:

• Understand the Context: If given a brief, thoroughly understand the problem domain, target users, and business objectives.

• Think Aloud: Clearly articulate your thought process as you work through the challenge. Explain your assumptions, the trade-offs you're considering, and your rationale for design decisions.

• Focus on Process: Demonstrate a structured approach, even if you don't reach a fully polished solution. Show how you'd gather requirements, brainstorm ideas, and evaluate options.

• User-Centricity: Always bring the user back into focus. How would you validate your ideas with users?

• Propose Next Steps: Conclude by outlining how you would proceed, including further research, testing, and iteration.

📝 Enhancement Note: The interview process is designed to thoroughly assess a candidate's design craft, strategic thinking, collaboration skills, and ability to deliver impact, especially in the complex domain of AI and health. A strong, well-prepared portfolio is the most critical element.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), Adobe XD. Proficiency in at least one of the primary UI/UX design tools (Figma/Sketch) is essential.

• Prototyping Tools: InVision, ProtoPie, Principle, Framer for creating interactive prototypes.

• Collaboration & Communication: Microsoft Teams, Slack, Jira, Confluence for team communication, project management, and documentation.

Analytics & Reporting:

• User Research Platforms: UserTesting.com, Lookback, Qualtrics for user feedback and testing.

• Analytics Tools: Microsoft Clarity, Google Analytics, Amplitude, Mixpanel for understanding user behavior and product performance.

• Data Visualization: Power BI, Tableau (or similar) for interpreting and presenting data insights.

CRM & Automation:

• While not directly a CRM role, understanding how user data flows from various touchpoints into systems that inform product development and personalization is beneficial.

• AI/ML Platforms: Familiarity with the underlying principles and potential of AI platforms, including Large Language Models (LLMs) and generative AI frameworks, is highly advantageous. Experience with prompting LLMs is specifically called out.

📝 Enhancement Note: Candidates should be proficient with industry-standard design and prototyping tools. Given the role's focus on AI, a demonstrated understanding or willingness to learn about AI/ML platforms and LLM prompting is crucial.

👥 Team Culture & Values

Operations Values:

• User Focus & Empathy: A deep commitment to understanding and addressing user needs, especially in the sensitive context of health and well-being. Designs should be empathetic and prioritize user safety and trust.

• Innovation & Boldness: Encouraging "bold thinking and risk-taking" to create groundbreaking AI products that challenge existing paradigms.

• Data-Driven Excellence: A culture that values rigorous data analysis, experimentation, and evidence-based decision-making to drive product improvement and impact.

• Collaboration & Inclusivity: Fostering a supportive and inclusive environment where diverse perspectives are valued, knowledge is shared freely, and every team member can contribute their best work.

• Quality & Craftsmanship: A dedication to shipping high-quality, polished products that meet stringent standards for user experience and reliability.

Collaboration Style:

• Cross-Functional Partnership: Highly collaborative, with designers working as integral partners to product managers, engineers, and researchers, sharing ownership and driving decisions together.

• Open Communication & Feedback: An environment that encourages open dialogue, constructive feedback, and iterative refinement of ideas and designs.

• Knowledge Sharing: A culture that promotes learning from each other, sharing best practices, and collectively elevating the team's capabilities, especially in the rapidly evolving field of AI.

• Experimentation & Learning: Embracing a mindset of continuous learning and experimentation, where failures are seen as opportunities for growth and improvement.

📝 Enhancement Note: Microsoft's core values of Diversity & Inclusion, Integrity, and Making a Difference are likely to permeate the team culture. For this role, the emphasis on user empathy, AI ethics, and innovation is particularly relevant.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Trust in AI: Ensuring users trust an AI companion, especially when dealing with sensitive health information, requires careful consideration of transparency, data privacy, and ethical AI principles.

• Navigating Ambiguity: Working on "zero-to-one" products in a rapidly evolving field like AI means dealing with significant ambiguity in user needs, technical capabilities, and market direction.

• Balancing Innovation with Safety: Developing cutting-edge AI features while ensuring they are safe, reliable, and beneficial for users, particularly in healthcare, is a complex challenge.

• Cross-Functional Alignment: Effectively bridging the gap between advanced AI research, product strategy, and user experience requirements requires strong communication and negotiation skills.

• Scalability of AI Experiences: Designing AI interactions that are not only delightful but also scalable to millions of users globally.

Learning & Development Opportunities:

• Deep Dive into AI/LLMs: Unparalleled opportunity to work at the forefront of AI development, gaining hands-on experience with generative AI, LLMs, and their application in consumer products.

• Expert Mentorship: Access to world-class designers, AI researchers, and product leaders within Microsoft who can provide guidance and mentorship.

• Industry Conferences & Training: Opportunities to attend leading AI, UX, and product development conferences, as well as access to internal training resources for continuous skill enhancement.

• Leadership Development: Potential to grow into formal leadership roles, managing teams, defining design strategy, and influencing product direction at a higher level.

• Healthcare Domain Expertise: Gaining valuable insight and experience in the healthcare technology sector, a rapidly growing and impactful field.

📝 Enhancement Note: The challenges presented are inherent to pioneering work in AI and health tech. The growth opportunities are significant, offering deep technical expertise and leadership development within a leading tech company.

💡 Interview Preparation

Strategy Questions:

• "Tell me about a time you owned an end-to-end product design from zero-to-one. What were the biggest challenges, and how did you overcome them?"

  • Preparation: Have a specific case study ready that demonstrates full ownership, from ideation and research through to launch and iteration. Focus on your strategic contributions, problem-solving approach, and how you managed ambiguity.

• "How would you approach designing a trustworthy AI companion for health management? What ethical considerations would be paramount?"

  • Preparation: Think about principles of transparency, data privacy, user control, and bias mitigation. Discuss how you would incorporate user feedback and build confidence in the AI's capabilities and recommendations.

• "Describe a situation where you had to collaborate closely with AI engineers or researchers. How did you translate their technical work into a user-friendly experience?"

  • Preparation: Provide an example where you acted as a bridge between technical complexity and user needs. Highlight your ability to understand technical constraints and opportunities, and to communicate design requirements effectively. Company & Culture Questions:

• "What excites you about Microsoft AI's mission to create an AI Companion for everyone, particularly in the health space?"

  • Preparation: Research Microsoft's AI vision, Copilot, and the MAI Health team's objectives. Express genuine enthusiasm for the impact and innovation potential.

• "How do you contribute to a positive and inclusive team environment?"

  • Preparation: Be ready to share specific examples of how you foster collaboration, share knowledge, and support diverse team members.

• "How do you approach learning about new technologies like generative AI and LLMs?"

  • Preparation: Discuss your methods for staying current, such as reading industry publications, taking online courses, experimenting with tools, and attending webinars. Portfolio Presentation Strategy:

• Structure: Organize your presentation logically: Introduction (problem, your role), Process (research, ideation, design, testing), Key Decisions & Rationale, Challenges & Solutions, Outcomes & Impact, Future Iterations.

• Focus on Impact: Clearly articulate the "so what?" for each project. What was the user benefit? What was the business value? Quantify wherever possible.

• Highlight AI/LLM Work: Dedicate time to discussing any AI-related projects, explaining your specific contributions and learnings.

• Be Concise and Engaging: Respect the allocated time. Practice your delivery to ensure it's clear, confident, and engaging.

• Anticipate Questions: Prepare for detailed questions about your design choices, trade-offs, and problem-solving strategies.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just design skills, but also strategic thinking, leadership potential, and a deep understanding of AI and its implications, especially within the health domain.

📌 Application Steps

To apply for this Principal Product Designer position:

• Submit your application: Navigate to the Microsoft Careers portal and submit your application through the provided link.

• Tailor your resume: Ensure your resume highlights your experience in end-to-end product design, AI/LLM experience, cross-functional collaboration, and achievements relevant to consumer product development, with a focus on the last 8-12 years of experience.

• Prepare your portfolio: Curate 2-3 of your strongest case studies that showcase your ability to lead design from concept to launch, specifically detailing any AI/generative AI projects and their impact. Ensure your portfolio is easily shareable (e.g., PDF, personal website).

• Practice your presentation: Rehearse presenting your portfolio, focusing on clear storytelling, articulating your design process, highlighting your contributions, and quantifying impact. Be ready to discuss your approach to AI and health-tech design.

• Research Microsoft AI: Understand the company's vision for AI, the MAI Health team's mission, and the broader context of AI Companion development. This will help you tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions based on the provided input. All details should be verified directly with the hiring organization, Microsoft, before making application decisions. The salary range is an estimate based on typical compensation for similar roles in the specified region.