Cloud & AI Digital Solution Engineer Manager at Microsoft

📍 Job Overview

Job Title: Cloud & AI Digital Solution Engineer Manager
Company: Microsoft
Location: Tokyo, Japan
Job Type: Full-Time
Category: Management, Solution Engineering
Date Posted: June 19, 2025

🚀 Role Summary

Lead a team of Azure Digital Solution Engineers to guide customers through their Cloud & AI transformation journey.
Support customers in evaluating applications, recommending tailored solutions, and demonstrating cutting-edge technologies.
Accelerate career growth, develop deep business acumen, hone selling skills, and become adept at deal structuring.
Collaborate with customers, understand their needs, and drive long-term sustainable growth for Microsoft.

📝 Enhancement Note: This role requires strong leadership, team management, and customer engagement skills, with a focus on Azure and AI technologies. Familiarity with Microsoft's partner ecosystem and solution engineering processes is essential.

💻 Primary Responsibilities

Team Leadership: Develop and manage a high-performance team of Azure Digital Solution Engineers through continuous coaching and inspiration.
Customer Engagement: Build strong relationships with customers, understand their needs, and provide tailored solutions to drive their Cloud & AI transformation.
Solution Engineering: Evaluate customer applications and business requirements, recommend suitable Azure solutions, and demonstrate cutting-edge technologies to win technical decisions.
Partner Collaboration: Leverage partner solutions to solve customer needs and drive long-term sustainable growth for Microsoft.
Business Acumen: Develop deep business acumen, hone selling skills, and become adept at deal structuring to accelerate career growth.

📝 Enhancement Note: This role involves a high level of customer interaction, requiring strong communication, presentation, and negotiation skills. A strategic mindset and the ability to balance technical depth with business understanding are crucial for success.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant work experience may be considered in lieu of a degree.

Experience: Proven experience in developing high-performance teams through coaching and inspiration. Demonstrated success in building strong relationships and understanding customer needs.

Required Skills:

Cloud Computing (Azure)
AI and Machine Learning
Solution Engineering
Team Leadership and Management
Customer Engagement and Relationship Building
Business Acumen and Deal Structuring
Partner Solutions and Ecosystem Management
Innovation and Problem-Solving
Collaboration and Cross-Functional Teamwork

Preferred Skills:

Experience with Microsoft's Azure platform and AI services
Familiarity with Microsoft's partner ecosystem and solution engineering processes
Knowledge of cloud migration strategies and best practices
Experience with customer success management and account management

📝 Enhancement Note: While not explicitly stated, having a strong understanding of Microsoft's products, services, and roadmap would be highly beneficial for this role. Additionally, experience with cloud security, compliance, and governance would be an asset.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A well-structured resume highlighting relevant experience, achievements, and skills.
Case studies or success stories demonstrating your team's impact on customer Cloud & AI transformation journeys.
Examples of innovative solutions, deal structuring, and customer engagement strategies.

Technical Documentation:

Detailed project plans, including timelines, milestones, and resource allocation.
Customer engagement strategies and success metrics.
Performance metrics and optimization techniques for Azure solutions.

📝 Enhancement Note: As this role focuses on team leadership and management, your portfolio should emphasize your ability to develop and motivate teams, as well as your track record of driving customer success and growth.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Tokyo, Japan is ¥8,000,000 - ¥12,000,000 per year (based on market research and industry standards for similar roles at Microsoft). This range takes into account the candidate's experience level, education, and the competitive nature of the tech industry in Japan.

Benefits:

Competitive health, dental, and vision insurance plans.
Retirement savings plans with company matching.
Generous time off and flexible work arrangements.
Employee stock purchase plan.
Professional development opportunities, including training, certifications, and conference attendance.
A dynamic and inclusive work environment that values diversity and encourages innovation.

Working Hours: Full-time position with standard business hours (8:00 AM - 5:00 PM, Monday - Friday) and occasional overtime as needed to support customer projects and deadlines.

📝 Enhancement Note: Salary and benefits information are estimates based on market research and industry standards. Actual compensation may vary depending on the candidate's qualifications, experience, and the company's internal policies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, focusing on developing, manufacturing, licensing, supporting, and selling computer software, services, and devices that deliver productivity and business processes.

Company Size: Microsoft is a large corporation with over 180,000 employees worldwide, providing ample opportunities for career growth and collaboration.

Founded: Microsoft was founded in 1975 by Bill Gates and Paul Allen. The company has since grown into a global leader in technology, with a strong commitment to innovation, customer success, and giving back to communities.

Team Structure:

Azure Digital Solution Engineers: Responsible for guiding customers through their Cloud & AI transformation journey, evaluating applications, recommending tailored solutions, and demonstrating cutting-edge technologies.
Solution Engineer Manager (This Role): Leads the team of Azure Digital Solution Engineers, providing guidance, coaching, and support to drive customer success and team growth.
Partner Solutions Architects: Collaborate with the Azure Digital Solution Engineers to leverage partner solutions and drive long-term sustainable growth for Microsoft.
Customer Success Managers: Work closely with the Azure Digital Solution Engineers to ensure customer satisfaction, retention, and expansion.

Development Methodology:

Agile/Scrum methodologies for project management and sprint planning.
Cross-functional collaboration with design, marketing, and business teams to ensure customer needs are met and Microsoft's products and services are positioned effectively.
Regular code reviews, testing, and quality assurance practices to maintain high standards and ensure customer success.
Deployment strategies, CI/CD pipelines, and server management to support customer projects and maintain Azure environments.

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft's company culture emphasizes innovation, customer success, and continuous learning. The company values diversity, inclusion, and collaboration, providing a supportive environment for employees to grow and thrive.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a management position, focusing on team leadership, customer engagement, and solution engineering. It requires a strong understanding of Azure and AI technologies, as well as proven experience in developing high-performance teams and driving customer success.

Reporting Structure: The Solution Engineer Manager reports directly to the Azure Digital Solutions Engineering leadership team and works closely with cross-functional teams, including partner solutions architects and customer success managers.

Technical Impact: This role has a significant impact on Microsoft's customers, helping them navigate their Cloud & AI transformation journey and driving long-term sustainable growth for the company. The Solution Engineer Manager's ability to lead and motivate their team, engage with customers, and recommend tailored solutions directly influences the success of Microsoft's Azure and AI services.

Growth Opportunities:

Team Leadership: Develop and mentor team members, providing opportunities for career growth and advancement within the Azure Digital Solutions Engineering organization.
Technical Expertise: Deepen understanding of Azure and AI technologies, staying up-to-date with the latest developments and best practices to provide customers with cutting-edge solutions.
Business Acumen: Expand business acumen and deal structuring skills, driving customer success and growth for Microsoft.
Cross-Functional Collaboration: Work closely with partner solutions architects and customer success managers to ensure customer satisfaction and drive long-term growth.

📝 Enhancement Note: This role offers significant opportunities for career growth, both within the Azure Digital Solutions Engineering organization and across Microsoft's broader technology and business divisions.

🌐 Work Environment

Office Type: Microsoft's Tokyo office is a modern, collaborative workspace designed to foster innovation and teamwork. The office features open-plan workspaces, meeting rooms, and breakout areas, as well as on-site amenities such as a café, fitness center, and wellness rooms.

Office Location(s): Tokyo, Japan

Workspace Context:

Collaborative Workspace: The open-plan workspace encourages collaboration and communication between team members, fostering a culture of knowledge sharing and continuous learning.
Development Tools: Microsoft provides access to the latest development tools, including Azure DevOps, Visual Studio, and other relevant software and services.
Cross-Functional Collaboration: The workspace is designed to facilitate cross-functional collaboration with design, marketing, and business teams, ensuring that customer needs are met and Microsoft's products and services are positioned effectively.

Work Schedule: Standard business hours (8:00 AM - 5:00 PM, Monday - Friday) with occasional overtime as needed to support customer projects and deadlines. Microsoft offers flexible work arrangements, including remote work and part-time options, depending on the role and team requirements.

📝 Enhancement Note: Microsoft's work environment is designed to support collaboration, innovation, and employee well-being, providing a supportive and engaging workspace for employees to thrive.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief conversation to assess communication skills, cultural fit, and initial qualifications for the role.
Technical Deep Dive: A detailed discussion of your experience with Azure, AI, and solution engineering, focusing on your ability to evaluate applications, recommend tailored solutions, and demonstrate cutting-edge technologies.
Customer Engagement Scenario: A role-play exercise simulating a customer engagement scenario, assessing your ability to understand customer needs, build relationships, and drive long-term success.
Final Interview: A conversation with the hiring manager and other stakeholders to discuss your fit for the role, team dynamics, and career growth opportunities.

Portfolio Review Tips:

Highlight your team's impact on customer Cloud & AI transformation journeys, including case studies and success stories.
Emphasize your ability to develop and motivate teams, as well as your track record of driving customer success and growth.
Showcase your understanding of Azure and AI technologies, as well as your experience with solution engineering, customer engagement, and deal structuring.

Technical Challenge Preparation:

Brush up on your Azure and AI knowledge, focusing on the latest developments and best practices.
Prepare for customer engagement scenarios by practicing active listening, asking insightful questions, and demonstrating your ability to understand and address customer needs.
Familiarize yourself with Microsoft's partner ecosystem and solution engineering processes to ensure a strong understanding of the company's offerings and roadmap.

ATS Keywords:

Cloud Computing: Azure, AI, Cloud Migration, Cloud Governance, Cloud Security
Solution Engineering: Solution Architecture, Technical Decision Making, Demonstration, Customer Engagement
Team Leadership: Team Development, Coaching, Mentoring, Inspiration, Relationship Building
Customer Engagement: Customer Success, Account Management, Customer Relationship Management, Customer Experience
Business Acumen: Deal Structuring, Business Strategy, Business Development, Sales, Marketing
Partner Solutions: Partner Ecosystem, Partner Solutions Architecture, Partner Collaboration, Partner Integration
Innovation: Innovation Management, Problem-Solving, Creative Thinking, Continuous Learning
Collaboration: Cross-Functional Teamwork, Teamwork, Collaboration Tools, Collaboration Platforms

📝 Enhancement Note: The interview process for this role will focus on assessing your technical expertise, leadership skills, and customer engagement abilities. Be prepared to demonstrate your understanding of Azure and AI technologies, as well as your experience with solution engineering, team management, and customer success.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: Microsoft Azure

AI Services: Azure AI Platform, Azure Machine Learning, Azure Cognitive Services

Solution Engineering Tools:

Azure DevOps: Project management, version control, and CI/CD pipeline tools.
Visual Studio: Integrated development environment for building, debugging, and testing applications.
Power BI: Business intelligence and data visualization tools.
Microsoft 365: Productivity and collaboration tools, including Office applications, Teams, and SharePoint.

Infrastructure Tools:

Azure Portal: Web-based user interface for managing Azure resources and services.
Azure CLI: Command-line interface for managing Azure resources and services.
Azure PowerShell: PowerShell cmdlets for managing Azure resources and services.
Azure Stack: Hybrid cloud platform for extending Azure services to on-premises environments.

📝 Enhancement Note: Familiarity with Microsoft's Azure platform, AI services, and solution engineering tools is essential for success in this role. Additionally, understanding Azure's infrastructure and management tools will be beneficial for working with customers and driving their Cloud & AI transformation journey.

👥 Team Culture & Values

Microsoft Values:

Customer Obsessed: We strive to understand and meet the needs of our customers, ensuring their success and satisfaction.
One Microsoft: We work together as one team, collaborating across functions and geographies to drive customer success and business growth.
Growth Mindset: We embrace a growth mindset, continuously learning and adapting to drive innovation and improvement.
Inclusive: We foster an inclusive culture where everyone can thrive, valuing diversity and promoting a sense of belonging.
One Microsoft: We work together as one team, collaborating across functions and geographies to drive customer success and business growth.
Growth Mindset: We embrace a growth mindset, continuously learning and adapting to drive innovation and improvement.
Inclusive: We foster an inclusive culture where everyone can thrive, valuing diversity and promoting a sense of belonging.

Microsoft's Approach to Diversity, Equity, and Inclusion:

Microsoft is committed to creating a diverse, equitable, and inclusive culture where everyone can thrive. The company offers a range of programs and initiatives to support diversity, equity, and inclusion, including employee resource groups, mentoring programs, and training and development opportunities.

Team Culture:

Collaborative: The Azure Digital Solutions Engineering team works closely together, sharing knowledge, and supporting each other to drive customer success and team growth.
Customer Focused: The team is dedicated to understanding and meeting the needs of Microsoft's customers, ensuring their success and satisfaction.
Innovative: The team embraces a growth mindset, continuously learning and adapting to drive innovation and improvement in Azure and AI technologies.
Inclusive: The team fosters an inclusive culture, valuing diversity and promoting a sense of belonging for all team members.

📝 Enhancement Note: Microsoft's values and approach to diversity, equity, and inclusion provide a strong foundation for the company's culture and team dynamics. The Azure Digital Solutions Engineering team embodies these values, fostering a collaborative, customer-focused, innovative, and inclusive environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Azure Expertise: Deepen your understanding of Azure's extensive portfolio of cloud services, staying up-to-date with the latest developments and best practices.
AI Integration: Expand your knowledge of AI and machine learning, exploring how Azure AI services can be integrated into customer solutions to drive business value.
Customer Engagement: Develop and refine your customer engagement skills, honing your ability to understand and address customer needs, build relationships, and drive long-term success.
Deal Structuring: Enhance your business acumen and deal structuring skills, driving customer success and growth for Microsoft.

Learning & Development Opportunities:

Azure Training: Participate in Azure training and certification programs to deepen your technical expertise and stay current with the latest developments.
AI Workshops: Attend AI workshops and conferences to expand your knowledge of AI and machine learning, and explore how these technologies can be applied to solve customer challenges.
Leadership Development: Engage in leadership development programs to enhance your team management, coaching, and mentoring skills, as well as your ability to drive team growth and success.
Cross-Functional Collaboration: Work closely with partner solutions architects and customer success managers to ensure customer satisfaction, retention, and expansion, driving long-term growth for Microsoft.

📝 Enhancement Note: This role presents significant technical, customer engagement, and leadership challenges, as well as numerous learning and development opportunities. By embracing these challenges and pursuing growth opportunities, you can accelerate your career growth and make a meaningful impact on Microsoft's customers and business.

💡 Interview Preparation

Technical Questions:

Azure Expertise: Be prepared to discuss your experience with Azure, including your understanding of its services, architecture, and best practices. Brush up on your knowledge of the latest Azure developments and features.
AI Integration: Demonstrate your understanding of AI and machine learning, and explore how Azure AI services can be integrated into customer solutions to drive business value.
Customer Engagement: Prepare for customer engagement scenarios by practicing active listening, asking insightful questions, and demonstrating your ability to understand and address customer needs.
Deal Structuring: Showcase your business acumen and deal structuring skills, discussing your approach to driving customer success and growth for Microsoft.

Company & Culture Questions:

Microsoft's Mission: Articulate your understanding of Microsoft's mission and how this role contributes to its achievement.
Azure Digital Solutions Engineering Team: Describe your fit for the Azure Digital Solutions Engineering team, highlighting your collaborative, customer-focused, innovative, and inclusive approach.
Microsoft's Partner Ecosystem: Demonstrate your understanding of Microsoft's partner ecosystem and how you would leverage partner solutions to solve customer needs and drive long-term growth for the company.

Portfolio Presentation Strategy:

Customer Success Stories: Highlight your team's impact on customer Cloud & AI transformation journeys, including case studies and success stories that demonstrate your ability to evaluate applications, recommend tailored solutions, and drive customer success.
Team Leadership: Showcase your ability to develop and motivate teams, as well as your track record of driving customer success and growth.
Business Acumen: Emphasize your understanding of Azure and AI technologies, as well as your experience with solution engineering, customer engagement, and deal structuring.

📝 Enhancement Note: The interview process for this role will focus on assessing your technical expertise, leadership skills, and customer engagement abilities. Be prepared to demonstrate your understanding of Azure and AI technologies, as well as your experience with solution engineering, team management, and customer success.

📌 Application Steps

To apply for this Cloud & AI Digital Solution Engineer Manager position at Microsoft:

Submit Your Application: Visit the Microsoft Careers website and search for the job listing. Click on the job title to access the application form and submit your resume, cover letter, and any other required documents.
Prepare Your Portfolio: Tailor your portfolio to highlight your team's impact on customer Cloud & AI transformation journeys, including case studies and success stories that demonstrate your ability to evaluate applications, recommend tailored solutions, and drive customer success. Ensure your portfolio is well-structured, easy to navigate, and showcases your team's achievements and growth.
Optimize Your Resume: Highlight your relevant experience, achievements, and skills, focusing on your experience with Azure, AI, solution engineering, team management, and customer engagement. Use relevant keywords and phrases to help your resume pass through applicant tracking systems and catch the hiring manager's attention.
Prepare for Technical Interviews: Brush up on your Azure and AI knowledge, focusing on the latest developments and best practices. Prepare for customer engagement scenarios by practicing active listening, asking insightful questions, and demonstrating your ability to understand and address customer needs. Familiarize yourself with Microsoft's partner ecosystem and solution engineering processes to ensure a strong understanding of the company's offerings and roadmap.
Research Microsoft: Learn about Microsoft's mission, values, and approach to diversity, equity, and inclusion. Understand the Azure Digital Solutions Engineering team's culture and dynamics, and prepare thoughtful questions to ask during your interviews.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Cloud & AI Digital Solution Engineer Manager