Taiwan Professional Services Area Leader

Amazon is hiring a Taiwan Professional Services Area Leader in Taipei, Taiwan. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AWS, cloud computing and sales leadership.
Level classifies it as an executive role.
Level lists 21,000+ other open roles at Amazon.
The role was posted within the past two weeks.

AI in this role

Lead AWS Professional Services in Taiwan, driving cloud transformation and enterprise Generative AI consulting engagements.

aws

cloud-computingsales-leadershipp-l-managementgenerative-ai

AWS Professional Services (ProServe) is seeking an experienced Taiwan ProServe Area Leader to lead and grow the AWS ProServe business. This is a pivotal, first-of-its-kind leadership role responsible for building and overseeing both the Sales and Delivery functions of the AWS Professional Services business in Taiwan. This leader owns the P&L for the Taiwan practice, driving revenue growth, building high-performing teams, and leading transformative cloud and GenAI consulting engagements for Taiwan’s largest enterprises across IT strategy, migration, modernization, and cloud adoption.

As the Taiwan Leader, you will be the single-threaded owner of the Taiwan ProServe business, with dual responsibility focused on driving Sales (business development, pipeline generation, revenue growth, and go-to-market strategy) and oversight of the Delivery function (ensuring successful execution of cloud transformation programs, delivery quality, and customer satisfaction). You will establish the ProServe presence in Taiwan, define the market strategy, and build the team and mechanisms needed to scale the business. The leader also contributes at the world-wide level to shape the cloud-based IT consulting model of the future, including Generative AI.

Key job responsibilities
Lead and inspire the AWS ProServe team that will fuel the growth of the Taiwan market and deliver outsized impact for customers. Measured against Revenue, Billable Bookings, pipeline growth, partner contribution, delivery quality, and customer satisfaction.

Key Responsibilities

Position customers for success — collaborate with AWS field sales to develop strong customer and partner relationships with CIOs, CTOs, IT functional leaders, and business sponsor executives across Taiwan.

Lead sales and delivery — own the Taiwan ProServe revenue target (bookings, revenue, margin); build and manage a robust pipeline of large-scale cloud transformation opportunities including migration, modernization, data & analytics, and Generative AI.

Shape complex transformations — work directly with customers and AWS field sales, support, training, technical, and specialty teams to shape projects, programs, and strategy for enterprises going through digital transformation, data centre exits, Generative AI adoption, migrations, and modernization.

Build the partner ecosystem — establish executive and technical relationships with key integrators, software vendors, and managed services providers; deliver joint proposals and co-sell/co-deliver engagements to help partners succeed in large, complex customer engagements using AWS.

Deliver value — oversee high-quality delivery of customised engagements with partners and enterprise customers; own customer feedback, corrective actions, and continuous improvement of delivery outcomes.

Lead great teams — attract and develop top talent to build high-performing teams with superior technical depth and outstanding customer relationship skills; coach on consultative selling, deal pursuit, account planning, and delivery excellence.

Key Capabilities

Customer Obsession: Strong relationship-building skills at the most senior level and a relentless focus on what it takes to make customers successful.

Revenue Driven Mindset: Focuses on customer business outcomes and increasing platform production usage; demonstrated ability to shape and execute large, complex deals.

Strong Operator: Can dive deep, innovate, and drive quality in all aspects of execution — projects, people, platform, programs, and partners.

Earn Trust: Ability to influence without authority; can work effectively with partners and within a matrix organisation.

Hire and Develop the Best: Outstanding people leadership skills with the ability to attract and develop senior industry and technical leaders who will build and scale teams and businesses.

Think Big: Innovative thinker and transformative leader who can look around corners, identify the next opportunity to build and grow the Taiwan business; able to partner with CxOs and articulate a business-minded value proposition.

Strong Understanding of Digital Transformation: Leader who has worked on or worked closely with teams on large-scale digital transformation.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

- 10+ years of experience in technology sales, professional services, IT consulting, or cloud services
- 5+ years of experience in a people management role, leading sales or delivery teams
- Demonstrated track record of meeting or exceeding revenue targets in a professional services or technology consulting environment
- Experience working in the Taiwan market with established enterprise customer relationships; managing complex, multi-stakeholder deal cycles with enterprise customers
- Fluency in Mandarin Chinese and English (business-level proficiency required in both)

Preferred qualifications

- MBA or advanced degree in Business, Computer Science, Engineering, or a related field
- Generative AI fluency, famailarity with AWS services and broader AWS ecosystem
- Experience in both sales leadership and delivery/program management roles within professional services
- Experience with cloud migration, application modernization, data & analytics, and/or Generative AI initiatives
- Strong understanding of cloud technologies, digital transformation trends, and the professional services business model
- Deep network of C-level and senior executive relationships across Taiwan enterprise and public sector; experience developing and managing strategic partner relationships
- Understanding of the regulatory and business environment across the Taiwan market

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Taiwan Professional Services Area Leader at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Taiwan Professional Services Area Leader is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in TW, TPE, Taipei.
The job was posted on October 15, 2026.
Seniority: executive.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud ComputingSales LeadershipP L ManagementGenerative AIAWS

Questions you could be asked

Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where sales leadership was part of your work. What did you do?
Tell me about a project where p l management was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Cloud Computing, Sales Leadership, P L Management, Generative AI, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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