PACE Engagement Manager, Prototyping and AI Customer Engineering

📍 Job Overview

Job Title: PACE Engagement Manager, Prototyping and AI Customer Engineering

Company: Amazon

Location: Taipei City, Taiwan

Job Type: Full-time

Category: Customer Engineering / Technical Program Management

Date Posted: April 29, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Drives customer innovation by leveraging emerging cloud technologies and AWS products, with a focus on Artificial Intelligence and Prototyping.

• Manages customer engagements from opportunity identification through to prototype delivery, ensuring strategic business outcomes and return on investment.

• Collaborates closely with Solutions Architects, Prototyping Engineers, and account teams to craft compelling visions and value propositions for complex technical solutions.

• Facilitates cross-functional collaboration and stakeholder management across customer organizations and internal AWS teams to accelerate adoption of cloud technologies.

📝 Enhancement Note: This role sits within the AWS Sales, Marketing, and Global Services (SMGS) organization, specifically within the Prototyping and AI Customer Engineering (PACE) team. This indicates a strong focus on driving adoption and revenue through technical solutioning and customer-centric innovation, particularly in cutting-edge areas like AI. The "Engagement Manager" title suggests a blend of project management, client relationship management, and technical advisory responsibilities.

📈 Primary Responsibilities

• Proactively identify and qualify prototyping opportunities with partners, customers, and internal AWS account teams by deeply understanding customer business priorities and technical landscapes.

• Develop and articulate compelling visions and value propositions that clearly convey the financial, technological, and transformational benefits of experimentation with emerging AWS technologies.

• Collaborate with Solutions Architecture leadership to guide customers through the exploration, ideation, engineering, and delivery of innovative, cloud-based solutions leveraging advanced and emerging technologies.

• Lead and manage the end-to-end delivery of strategic innovation and prototyping engagements for a diverse range of customers across various industries, ensuring successful outcomes.

• Define engagement scope, working arrangements, and success metrics in collaboration with customer technical and business stakeholders, focusing on feasibility, impact, and long-term business value.

• Drive effective collaboration across internal AWS teams (e.g., Sales, Solutions Architecture, Engineering) and external customer stakeholders at all levels, fostering strong executive and senior technical relationships.

• Act as a trusted advisor to customers on innovation and cloud technology adoption, helping them align their technical and organizational resources for maximum benefit from AWS services.

• Capture and cascade key learnings, customer feedback, and best practices from engagements across the wider AWS organization to drive continuous improvement in services and products.

📝 Enhancement Note: The responsibilities emphasize a proactive, consultative approach. The Engagement Manager is expected to not just manage projects but to actively uncover needs, shape solutions, and build deep relationships. The focus on "emerging technologies" and "prototyping" suggests a dynamic role requiring continuous learning and adaptation.

🎓 Skills & Qualifications

Education:

Experience:

• A minimum of 7+ years of experience working directly with engineering teams.

• A minimum of 3+ years of technical product or program management experience.

• A minimum of 2+ years of hands-on software development experience.

• 5+ years of project management disciplines including scope, schedule, budget, quality, risk, and critical path management experience is preferred.

Required Skills:

• Proven ability to identify customer business needs and translate them into technical solutions, particularly leveraging cloud technologies.

• Strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and applications.

• Experience in prototyping and demonstrating innovative technical solutions.

• Excellent stakeholder management and executive communication skills, with the ability to build trusted advisor relationships.

• Demonstrated ability to manage complex technical programs or projects from initiation to completion.

• Proficiency in developing compelling value propositions and business cases for technology initiatives.

Preferred Skills:

• Experience with AWS services, particularly those related to AI/ML, data analytics, and cloud infrastructure.

• Direct experience in a customer-facing technical role (e.g., Solutions Architect, Technical Account Manager, Consultant).

• Experience managing budgets and resource allocation for technical projects.

• Knowledge of risk management frameworks and mitigation strategies in technical projects.

• Experience in driving process improvements and building scalable operational frameworks.

📝 Enhancement Note: The requirements blend foundational software development and engineering experience with more strategic program and product management skills, emphasizing a "builder" mentality combined with strategic customer engagement. The preference for project management disciplines indicates a need for structured execution.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated experience in managing the lifecycle of technical projects or programs, showcasing end-to-end delivery capabilities.

• Evidence of successfully leading cross-functional teams to achieve complex technical objectives, highlighting collaboration and coordination skills.

• Examples of articulating technical concepts and value propositions to diverse audiences, including executive stakeholders and technical teams.

Process Documentation:

• Ability to define and document clear engagement scopes, project plans, and working agreements with customers and internal teams.

• Experience in establishing metrics and KPIs for innovation and prototyping engagements to measure feasibility, impact, and ROI.

• Demonstrated ability to create documentation that captures learnings, feedback, and best practices from customer engagements for organizational knowledge sharing.

📝 Enhancement Note: While a formal "portfolio" might not be explicitly requested in the application, candidates will be expected to articulate their experience through their resume and during interviews. They should be prepared to discuss specific projects, challenges, and outcomes, demonstrating their ability to manage technical engagements and deliver value. The emphasis is on concrete examples of past work and process.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan (e.g., 401k equivalent with company match).

• Paid time off, including vacation days, sick leave, and public holidays.

• Stock options or restricted stock units (RSUs) as part of compensation.

• Professional development opportunities, including training, certifications, and conference attendance.

• Access to internal AWS training and resources.

• Employee discounts on Amazon products and services.

Working Hours:

• The standard working hours are typically 40 hours per week, Monday through Friday, aligning with a full-time employment structure. However, given the customer-facing and project-driven nature of the role, flexibility may be required to meet project deadlines and customer needs, potentially involving occasional evening or weekend work.

📝 Enhancement Note: Salary figures are estimates based on industry data for Taipei and the specified experience level for a role at a global tech leader like Amazon. Actual compensation will be determined by Amazon's internal compensation structure, candidate's qualifications, and market conditions. Benefits are standard for large technology companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing, E-commerce, Artificial Intelligence, Technology Services

Company Size: Large Enterprise (Amazon has over 1.5 million employees globally)

Founded: 1994

Team Structure:

• The PACE team is part of AWS Sales, Marketing, and Global Services (SMGS), indicating a direct link to revenue generation and customer adoption.

• The team likely comprises Engagement Managers, Solutions Architects, Prototyping Engineers, and potentially other customer-facing technical roles.

Methodology:

• Emphasis on customer obsession, innovation, and a data-driven approach to solving business problems.

• Utilizes agile and iterative methodologies for prototyping and solution development.

• Strong focus on understanding customer business priorities and aligning technical solutions to deliver tangible business value and ROI.

• Encourages a culture of continuous learning and experimentation with new and emerging technologies.

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

📝 Enhancement Note: Amazon's culture is known for its fast-paced environment, high standards, and focus on long-term thinking and innovation. The PACE team specifically operates at the forefront of emerging technologies, requiring adaptability and a proactive, customer-centric mindset.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level individual contributor, focusing on customer engagement and technical solution delivery within the cloud services domain. It bridges technical expertise with client management and strategic project leadership.

Reporting Structure: The Engagement Manager will likely report to a Manager or Director within the AWS PACE or SMGS organization. They will work independently on customer engagements but will collaborate closely with internal AWS account teams, Solutions Architects, and other technical specialists.

Operations Impact: The PACE Engagement Manager directly influences customer adoption of AWS services, particularly in innovative areas like AI. By successfully demonstrating the value of emerging technologies through prototypes, they contribute significantly to customer transformation, increased AWS service usage, and ultimately, revenue growth for Amazon.

Growth Opportunities:

• Specialization: Deepen expertise in specific emerging technologies like AI/ML, IoT, or serverless computing, becoming a go-to expert.

• Leadership: Transition into management roles, leading teams of Engagement Managers or Solutions Architects.

• Broader Scope: Move into larger, more strategic customer accounts or take on global program management responsibilities.

• Technical Advancement: Progress to senior Solutions Architect or Principal Engineer roles focusing on specific technology domains.

• Cross-Functional Moves: Explore roles in product management, business development, or strategy within AWS.

📝 Enhancement Note: This role offers a strong foundation for a career in technical consulting, cloud solutions, and program management within a leading technology organization. The emphasis on emerging tech and customer impact provides significant growth potential.

🌐 Work Environment

Office Type: This is an on-site role, meaning the primary work location will be an AWS office in Taipei City. AWS offices are typically modern, well-equipped, and designed to foster collaboration.

Office Location(s): The role is based in Taipei City, Taiwan. Specific office addresses would be provided upon offer or can be found on Amazon's job portal for Taiwan locations.

Workspace Context:

• The workspace will likely be a collaborative office environment with access to necessary technology and tools.

• Opportunities for direct interaction with a diverse team of engineers, architects, and business development professionals.

• The environment is expected to be fast-paced, demanding high performance and continuous learning.

• Expectation of regular customer site visits or engagements, requiring adaptability in work location and style.

Work Schedule: Standard 40-hour work week, Monday to Friday, with potential for extended hours based on project demands and customer needs. The on-site nature encourages in-person collaboration and team synergy.

📝 Enhancement Note: The on-site requirement in a major tech hub like Taipei suggests a dynamic, collaborative, and potentially demanding work environment typical of leading tech companies. It emphasizes in-person problem-solving and relationship building.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and conduct a brief phone screen to assess basic qualifications and interest.

• Hiring Manager Interview: A more in-depth conversation with the hiring manager to discuss your experience, technical background, and fit for the role.

• Technical Interviews: Multiple rounds of interviews with Solutions Architects, other Engagement Managers, and potentially engineering leaders. These may include:

  • Scenario-based questions: You'll be presented with hypothetical customer challenges and asked how you would approach them.
  • Technical deep dives: Discussions on your experience with specific technologies, cloud concepts, and software development.
  • Project/Program Management scenarios: Questions about how you manage scope, stakeholders, risks, and timelines.

• Bar Raiser Interview: A final interview with an interviewer from outside the immediate hiring team, focused on assessing leadership principles, cultural fit, and overall "bar raising" potential for Amazon.

Portfolio Review Tips:

• Resume as a Portfolio: Tailor your resume to highlight specific projects, quantifiable achievements, and experience relevant to technical program management, customer engagement, and emerging technologies (AI/ML, Cloud).

• STAR Method: Be prepared to discuss your experiences using the STAR method (Situation, Task, Action, Result) for behavioral and situational interview questions. Prepare specific examples related to customer challenges, technical solutions, project leadership, and cross-functional collaboration.

• Quantify Impact: Whenever possible, use numbers and data to demonstrate the impact of your work (e.g., "Reduced project delivery time by 20%", "Increased customer adoption of X service by 15%", "Managed a budget of $Y million").

• Showcase Technical Breadth: Be ready to discuss your understanding of cloud architecture, AI/ML concepts, and software development principles.

Challenge Preparation:

• Customer Empathy: Practice articulating how you would understand a customer's business and technical challenges from their perspective.

• Problem Decomposition: Prepare to break down complex problems into smaller, manageable components.

• Solution Articulation: Develop clear methods for explaining technical solutions and their business value.

• Collaboration Scenarios: Think about how you would navigate conflicts, align stakeholders with differing priorities, and drive consensus.

• AWS Familiarity: Review common AWS services and their use cases, especially in AI/ML and prototyping.

📝 Enhancement Note: Amazon's interview process is known for its rigor and focus on leadership principles. Candidates should prepare thoroughly by practicing using the STAR method and anticipating questions related to technical expertise, project management, and customer interaction.

🛠 Tools & Technology Stack

Primary Tools:

• CRM: Salesforce (or similar enterprise CRM) for customer and opportunity tracking.

• Project Management: Tools like Jira, Confluence, Asana, or internal AWS equivalents for task management, documentation, and workflow tracking.

• Collaboration: Microsoft Teams, Slack, or Amazon Chime for internal and external communication.

• Presentation Tools: PowerPoint, Google Slides for developing and delivering proposals, visions, and project updates.

Analytics & Reporting:

• Familiarity with data analysis tools and techniques. While specific tools aren't listed, expect to work with data related to project progress, customer adoption metrics, and business impact.

CRM & Automation:

• Understanding of how CRMs are used to manage customer relationships and sales pipelines.

• Awareness of workflow automation principles, potentially involving tools that integrate with CRMs or project management systems.

📝 Enhancement Note: While specific tools are not detailed, the role implies proficiency in standard enterprise software for project management, CRM, and communication. A strong understanding of AWS services themselves is paramount, as these will be the core technologies leveraged.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Deep understanding and empathy for customer needs, aiming to deliver exceptional value.

• Ownership: Taking responsibility for customer engagements and driving them to successful outcomes.

• Invent and Simplify: Continuously seeking innovative solutions and simplifying complex problems.

• Bias for Action: Moving quickly to make decisions and execute tasks, even with incomplete information.

• Learn and Be Curious: Maintaining a strong desire to learn new technologies and understand customer businesses deeply.

• Deliver Results: Focusing on achieving measurable outcomes and driving business impact.

Collaboration Style:

• Highly collaborative, working closely with internal AWS sales, solutions architecture, and engineering teams, as well as customer technical and business stakeholders.

• Emphasis on clear, concise communication and building strong, trusted relationships.

• Expectation of proactive engagement and driving consensus among diverse groups.

📝 Enhancement Note: Amazon's Leadership Principles are central to its culture. Candidates are expected to embody these principles in their daily work and interactions. The PACE team's focus on innovation and customer success means collaboration will be key to translating cutting-edge technology into tangible business value for clients.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of Innovation: Keeping up with the rapid evolution of AWS services and emerging technologies, particularly in AI.

• Complex Customer Needs: Addressing diverse and often intricate business and technical challenges across various industries.

• Stakeholder Alignment: Navigating multiple stakeholders with potentially competing priorities within customer organizations and AWS.

• Balancing Scope and Delivery: Effectively managing engagement scope while ensuring timely and high-quality delivery of prototypes and solutions.

• Demonstrating ROI: Clearly articulating and proving the return on investment for innovative projects, which can sometimes be harder to quantify upfront.

Learning & Development Opportunities:

• AWS Certifications: Opportunities to pursue and maintain AWS certifications relevant to cloud computing, AI/ML, and solutions architecture.

• Access to Latest Tech: Direct exposure to and hands-on experience with cutting-edge AWS services and AI technologies.

• Mentorship: Potential for mentorship from senior leaders within AWS, gaining insights into technical and strategic leadership.

• Industry Conferences: Participation in major technology and cloud computing conferences to stay abreast of industry trends.

• Internal Training: Extensive access to internal AWS training programs, workshops, and knowledge-sharing sessions.

📝 Enhancement Note: This role is ideal for individuals who thrive in dynamic environments, enjoy continuous learning, and are motivated by solving complex, cutting-edge technical challenges for customers. The challenges directly translate into significant growth opportunities.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you identified a prototyping opportunity with a customer. What was the customer's challenge, your proposed solution, and the outcome?" (Focus on proactive identification, technical solutioning, and impact).

• "How do you build trust and establish yourself as a trusted advisor with senior customer leadership?" (Focus on communication, understanding business needs, and delivering value).

• "Walk me through your process for managing a technical engagement from initial discovery to final delivery, including scope definition, risk management, and stakeholder communication." (Focus on project management discipline and structured approach).

Company & Culture Questions:

• "Why AWS? Why this specific role?" (Demonstrate understanding of AWS's mission, technology, and your fit).

• "How do you embody Amazon's Leadership Principles, such as Customer Obsession or Invent and Simplify, in your work?" (Prepare specific examples using the STAR method).

Portfolio Presentation Strategy:

• Select Strongest Examples: Choose 2-3 projects that best showcase your experience in customer engagement, technical problem-solving, and delivering innovative solutions, ideally involving cloud technologies or AI/ML.

• STAR Method for Projects: For each project, clearly articulate the Situation (customer challenge), Task (your role and objectives), Action (steps taken, technologies used, collaboration involved), and Result (quantifiable business impact, learnings).

• Focus on "Why": Explain the strategic rationale behind your approach and the business value delivered, not just the technical implementation.

• Visual Aids (if applicable): If you have any non-confidential diagrams or high-level overviews that illustrate your projects, be prepared to share them if appropriate and allowed.

• Be Prepared for Technical Deep Dives: While presenting, anticipate questions about the technical details of your projects.

📝 Enhancement Note: Amazon interviews are rigorous and deeply probe experience through behavioral questions. Candidates must prepare detailed, data-backed examples for each question, linking their past actions to Amazon's Leadership Principles and the specific requirements of the PACE Engagement Manager role.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Amazon Jobs portal for the "PACE Engagement Manager, Prototyping and AI Customer Engineering" role in Taipei.

• Resume Optimization: Tailor your resume to highlight experience in technical program/product management, customer engagement, AI/ML, cloud technologies (especially AWS), prototyping, and cross-functional collaboration. Quantify achievements wherever possible.

• Portfolio Preparation: Mentally (or visually, if allowed) prepare to discuss 2-3 key projects using the STAR method, focusing on customer challenges, your technical solutions, and measurable business impact.

• Interview Practice: Conduct mock interviews focusing on behavioral questions related to Amazon's Leadership Principles and scenario-based questions relevant to customer engagements and technical problem-solving.

• Company Research: Deeply understand Amazon's culture, its cloud business (AWS), and its commitment to AI innovation. Research recent AWS announcements or case studies in AI that might be relevant.

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