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CMHK ProServe Manager, Professional Services

Amazon is hiring a CMHK ProServe Manager, Professional Services in Beijing, China. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AWS, Generative AI and Cloud Infrastructure.
  • Level classifies it as a lead role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead the AWS Professional Services business across China Mainland and Hong Kong, driving cloud and GenAI consulting engagements for enterprises.

AWSGenerative AICloud Infrastructure
p-l-managementsales-leadershipcloud-computingconsultinggenerative-ai-adoption
Role Overview
AWS Professional Services (ProServe) is seeking an experienced CMHK ProServe Area Leader to lead and grow the AWS ProServe business across China Mainland and Hong Kong (CMHK). This leader owns the P&L for the CMHK practice, driving revenue growth, building high-performing teams, and leading transformative cloud and GenAI consulting engagements for CMHK's largest enterprises across IT strategy, migration, modernization, and cloud adoption.
The Area Leader leads ProServe Account Executives and Cloud Architects (pre-sales), with dotted-line leadership of Delivery Practice Managers and Delivery Consultants; develops trusted C-level relationships, serves as executive sponsor for key engagements, and is the primary escalation point for complex enterprise relationships. The leader also contributes at the world-wide level to shape the cloud-based IT consulting model of the future, including Generative AI.

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


Key job 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 China Mainland and Hong Kong.
• Lead sales and delivery — own the CMHK 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 CMHK 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.


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 CMHK 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); Cantonese proficiency is highly valued

Preferred qualifications

- MBA or advanced degree in Business, Computer Science, Engineering, or a related field
- AWS Certifications (e.g., Solutions Architect, Cloud Practitioner) or equivalent cloud certifications; familiarity with AWS services and the 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 digital transformation trends and the professional services business model
- Deep network of C-level and senior executive relationships across CMHK enterprise and public sector; experience developing and managing strategic partner relationships
- Understanding of the regulatory and business environment across both China Mainland and Hong Kong markets

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

CMHK ProServe Manager, Professional Services at Amazon rates 65 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

P L ManagementSales LeadershipCloud ComputingConsultingGenerative AI AdoptionAWSGenerative AICloud Infrastructure

Questions you could be asked

  1. Tell me about a project where p l management was part of your work. What did you do?
  2. Tell me about a project where sales leadership was part of your work. What did you do?
  3. Tell me about a project where cloud computing was part of your work. What did you do?
  4. Tell me about a project where consulting was part of your work. What did you do?
  5. Tell me about a project where generative ai adoption was part of your work. What did you do?

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  • List these exact terms on your resume: P L Management, Sales Leadership, Cloud Computing, Consulting, and Generative AI Adoption. 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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