Cloud & AI Solution Engineer Manager at Microsoft

📍 Job Overview

Job Title: Cloud & AI Solution Engineer Manager
Company: Microsoft
Location: Taipei, Taiwan
Job Type: Full-Time
Category: Management & Leadership - IT
Date Posted: June 21, 2025

🚀 Role Summary

Lead a team of Azure Solution Engineers to empower customers in their Cloud & AI transformation journey.
Guide customers in evaluating applications, recommending tailored Azure solutions, and demonstrating cutting-edge technologies to win technical decisions.
Accelerate career growth, develop business acumen, and hone selling skills while becoming adept at deal structuring.
Collaborate with customers, partners, and internal teams to drive long-term sustainable growth for Microsoft.

📝 Enhancement Note: This role requires strong leadership, technical expertise, and a deep understanding of Azure and AI technologies to guide customers through their transformation journey.

💻 Primary Responsibilities

Team Leadership: Lead, coach, and inspire a team of Azure Solution Engineers to achieve high performance and customer success.
Customer Engagement: Work closely with customers to understand their business priorities and guide them through their Cloud & AI transformation journey.
Solution Engineering: Evaluate customer applications and business requirements, recommend tailored 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.
Relationship Building: Build strong relationships with customers, partners, and internal teams to understand needs and navigate partner ecosystems.
Deal Structuring: Develop a deep understanding of customer needs and partner ecosystems to structure deals that drive customer success and Microsoft growth.

📝 Enhancement Note: This role requires a balance of technical expertise, leadership skills, and business acumen to successfully guide customers through their Cloud & AI transformation journey.

🎓 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 solution engineering, customer engagement, and deal structuring.

Required Skills:

Proven leadership and team management skills
Strong business acumen and customer focus
Deep understanding of Azure and AI technologies
Excellent communication, presentation, and interpersonal skills
Ability to build and maintain strong relationships with customers and partners
Proven experience in deal structuring and driving customer success
Experience with partner ecosystems and navigating complex customer environments

Preferred Skills:

Experience in a similar role within the cloud or technology industry
Familiarity with Microsoft's products and services
Knowledge of competitive cloud platforms and AI technologies
Experience with data analysis and visualization tools
Fluency in multiple languages (English proficiency required)

📝 Enhancement Note: This role requires a unique blend of technical expertise, leadership skills, and business acumen. Candidates with experience in solution engineering, customer success, or similar roles within the cloud or technology industry are strongly encouraged to apply.

📊 Web Portfolio & Project Requirements

Portfolio Essentials: Not applicable for this management role.

Technical Documentation:

Prepare a document outlining your approach to Cloud & AI transformation, including customer engagement, solution engineering, and deal structuring strategies.
Include examples of successful customer engagements, demonstrating your ability to understand customer needs and navigate partner ecosystems.
Prepare a presentation showcasing your understanding of Azure and AI technologies, highlighting your ability to recommend tailored solutions and demonstrate cutting-edge technologies.

📝 Enhancement Note: While this role does not require a traditional web portfolio, candidates should be prepared to demonstrate their technical expertise, leadership skills, and business acumen through well-prepared documentation and presentations.

💵 Compensation & Benefits

Salary Range: NT$2,500,000 - NT$3,500,000 per year (Based on market research and industry standards for similar roles in Taiwan)

Benefits:

Comprehensive health, dental, and vision insurance
Retirement savings plan with company matching
Generous time off and flexible work arrangements
Employee stock purchase plan
Training and development opportunities
Employee discounts on Microsoft products and services

Working Hours: Full-time position with standard office hours (Monday - Friday, 9:00 AM - 6:00 PM). Occasional evening and weekend work may be required to accommodate customer needs.

📝 Enhancement Note: The salary range provided is an estimate based on market research and industry standards for similar roles in Taiwan. Actual salary may vary based on factors such as experience, skills, and performance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology - Software & IT Services

Company Size: Large (Over 100,000 employees)

Founded: 1975

Team Structure:

Azure Solution Engineering team, reporting to the Azure Engineering organization
Collaborates with cross-functional teams, including sales, marketing, and product development
Works closely with customers, partners, and internal teams to drive customer success and Microsoft growth

Development Methodology:

Agile/Scrum methodologies for team management and project delivery
Customer-centric approach to solution engineering and deal structuring
Continuous learning and development opportunities to stay current with Azure and AI technologies

Company Website: Microsoft

📝 Enhancement Note: Microsoft's large size and global presence offer extensive resources and opportunities for professional growth. The company's customer-centric approach and commitment to innovation make it an attractive employer for technology professionals.

📈 Career & Growth Analysis

Web Technology Career Level: Senior/Managerial - Leads a team of Azure Solution Engineers, guiding customers through their Cloud & AI transformation journey.

Reporting Structure: Reports to the Azure Engineering organization, with a team of Azure Solution Engineers reporting directly to the manager.

Technical Impact: Responsible for driving customer success and Microsoft growth by guiding customers through their Cloud & AI transformation journey. Leverages Azure and AI technologies to recommend tailored solutions and win technical decisions.

Growth Opportunities:

Develop deep business acumen and hone selling skills through customer engagement and deal structuring.
Become adept at deal structuring and driving customer success.
Accelerate career growth by leading a high-performance team and driving long-term sustainable growth for Microsoft.

📝 Enhancement Note: This role offers significant opportunities for career growth, leadership development, and technical expertise in Azure and AI technologies. Candidates with a strong background in solution engineering, customer success, or similar roles are encouraged to apply.

🌐 Work Environment

Office Type: Modern, collaborative office environment with state-of-the-art technology and amenities.

Office Location(s): Taipei, Taiwan

Workspace Context:

Collaborative workspace with dedicated team areas and meeting rooms
Access to cutting-edge technology, including Azure development tools and AI platforms
Opportunities for cross-functional collaboration with sales, marketing, and product development teams

Work Schedule: Full-time position with standard office hours (Monday - Friday, 9:00 AM - 6:00 PM). Occasional evening and weekend work may be required to accommodate customer needs.

📝 Enhancement Note: Microsoft's modern, collaborative work environment fosters innovation and cross-functional collaboration, providing an ideal setting for driving customer success and Microsoft growth.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief conversation to assess communication skills, cultural fit, and initial fit for the role.
Technical Deep Dive: A detailed discussion of Azure and AI technologies, customer engagement strategies, and deal structuring approaches.
Case Study: Present a case study demonstrating your approach to guiding a customer through their Cloud & AI transformation journey, including solution engineering, customer engagement, and deal structuring strategies.
Final Interview: A conversation with the hiring manager and other stakeholders to assess leadership skills, cultural fit, and overall fit for the role.

Portfolio Review Tips:

Prepare a document outlining your approach to Cloud & AI transformation, including customer engagement, solution engineering, and deal structuring strategies.
Include examples of successful customer engagements, demonstrating your ability to understand customer needs and navigate partner ecosystems.
Prepare a presentation showcasing your understanding of Azure and AI technologies, highlighting your ability to recommend tailored solutions and demonstrate cutting-edge technologies.

Technical Challenge Preparation:

Brush up on your Azure and AI technology knowledge, focusing on relevant products and services for the role.
Prepare for customer engagement and deal structuring scenarios, demonstrating your ability to understand customer needs and navigate partner ecosystems.
Practice presenting your case study and be prepared to discuss your approach to Cloud & AI transformation in detail.

ATS Keywords: (Organized by category)

Cloud Computing: Azure, AI, Cloud & AI Transformation, Cloud Migration, Cloud Architecture, Cloud Security
Solution Engineering: Solution Architecture, Technical Decision Making, Customer Engagement, Deal Structuring, Partner Solutions
Leadership & Management: Team Leadership, Coaching, Inspiration, Performance Management, Stakeholder Management
Customer Success: Customer Engagement, Customer Relationship Management, Customer Experience, Customer Satisfaction
Business Acumen: Business Strategy, Business Development, Sales, Marketing, Product Development
Technical Skills: Azure, AI, Data Analysis, Data Visualization, Programming, Scripting, Troubleshooting
Soft Skills: Communication, Presentation, Interpersonal, Problem-Solving, Time Management, Adaptability

📝 Enhancement Note: The interview process for this role is designed to assess technical expertise, leadership skills, and business acumen. Candidates should be prepared to demonstrate their ability to guide customers through their Cloud & AI transformation journey, including solution engineering, customer engagement, and deal structuring strategies.

🛠 Technology Stack & Web Infrastructure

Cloud & AI Technologies:

Azure (Core focus)
AI Platforms (Azure Machine Learning, Azure Databricks, Azure Cognitive Services)
Other relevant Azure services (Azure IoT, Azure Blockchain, Azure Functions, etc.)

Collaboration & Productivity Tools:

Microsoft 365 (Office Suite, Teams, SharePoint, etc.)
Azure DevOps
GitHub
Slack

Data Analysis & Visualization Tools:

Power BI
Excel
SQL Server

📝 Enhancement Note: This role requires a deep understanding of Azure and AI technologies, as well as proficiency in relevant collaboration, productivity, and data analysis tools.

👥 Team Culture & Values

Microsoft Values:

One Microsoft
Innovate for customers
One strategy, one plan, one set of metrics
Focus on impact
Be customer-obsessed
One Microsoft team

Azure Solution Engineering Team Values:

Customer-centric approach
Collaborative and inclusive team culture
Continuous learning and development
Innovation and problem-solving mindset
Strong business acumen and customer focus

Collaboration Style:

Cross-functional collaboration with sales, marketing, and product development teams
Regular team meetings and one-on-ones to foster communication and growth
Agile/Scrum methodologies for team management and project delivery
Open and transparent communication, with a focus on active listening and feedback

📝 Enhancement Note: Microsoft's values and Azure Solution Engineering team culture foster a collaborative, customer-centric environment that drives innovation and customer success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Staying current with Azure and AI technology updates and new releases
Navigating complex customer environments and partner ecosystems
Developing deep business acumen and honing selling skills
Driving customer success and Microsoft growth through tailored Azure solutions and deal structuring

Learning & Development Opportunities:

Azure and AI technology training and certifications
Leadership and management development programs
Cross-functional collaboration and mentorship opportunities
Access to industry events, conferences, and webinars

📝 Enhancement Note: This role offers significant opportunities for technical and leadership development, as well as growth in business acumen and customer success strategies.

💡 Interview Preparation

Technical Questions:

Azure & AI Technologies: In-depth questions about Azure and AI technologies, focusing on relevant products and services for the role.
Customer Engagement: Scenarios assessing your ability to understand customer needs and navigate partner ecosystems.
Deal Structuring: Questions evaluating your ability to structure deals that drive customer success and Microsoft growth.
Leadership & Management: Situational questions testing your leadership, coaching, and performance management skills.

Company & Culture Questions:

Microsoft Values: Questions assessing your understanding and alignment with Microsoft's core values.
Azure Solution Engineering Team Values: Questions evaluating your fit with the Azure Solution Engineering team culture.
Customer-Centric Approach: Questions exploring your customer focus and ability to drive customer success.

Presentation Strategy:

Prepare a well-structured presentation showcasing your approach to Cloud & AI transformation, including solution engineering, customer engagement, and deal structuring strategies.
Include relevant examples and data to support your approach and demonstrate your understanding of Azure and AI technologies.
Practice your presentation and be prepared to discuss your approach in detail during the interview.

📝 Enhancement Note: The interview process for this role is designed to assess technical expertise, leadership skills, and business acumen. Candidates should be prepared to demonstrate their ability to guide customers through their Cloud & AI transformation journey, including solution engineering, customer engagement, and deal structuring strategies.

📌 Application Steps

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

Submit your application through the Microsoft Careers website.
Prepare a document outlining your approach to Cloud & AI transformation, including customer engagement, solution engineering, and deal structuring strategies.
Include examples of successful customer engagements, demonstrating your ability to understand customer needs and navigate partner ecosystems.
Prepare a presentation showcasing your understanding of Azure and AI technologies, highlighting your ability to recommend tailored solutions and demonstrate cutting-edge technologies.
Research Microsoft's company culture, values, and Azure Solution Engineering team culture to ensure a strong fit with the organization.
Practice your presentation and be prepared to discuss your approach to Cloud & AI transformation in detail during the interview.

⚠️ 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 Solution Engineer Manager