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Programmatic Solutions Consultant, PSC - CN

Amazon
Full-time
On-site
Shanghai, Shanghai, China
🌐 Digital Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Programmatic Solutions Consultant, PSC - CN

πŸ”Ή Company: Amazon

πŸ”Ή Location: Shanghai, Shanghai, China

πŸ”Ή Job Type: On-site

πŸ”Ή Category: Advertising & Marketing

πŸ”Ή Date Posted: May 23, 2025

πŸ”Ή Experience Level: 2-5 years

πŸ”Ή Remote Status: On-site

πŸš€ Job Overview

Key aspects of this role include:

  • Managing the end-to-end experience of enterprise customers focusing on programmatic trading desks
  • Driving customer success by developing expertise in Amazon's programmatic advertising DSP
  • Collaborating with internal teams to address customer needs and improve the product
  • Providing services such as onboarding, training, and continuous product usage consultation
  • Analyzing data to identify improvement areas and formulate recommendations

ASSUMPTION: This role requires strong customer relationship management skills, a deep understanding of programmatic advertising, and the ability to work effectively with cross-functional teams.

πŸ“‹ Key Responsibilities

βœ… Own the relationship with programmatic trading desk managers, engaging with multiple customer organizational levels to understand business objectives

βœ… Provide services such as onboarding, trade desk support plans, feature training, continuous product usage consultation, and industry best practices

βœ… Analyze and interpret data to identify improvement areas, root causes, and formulate enablement and adoption recommendations

βœ… Drive the evolution of Amazon DSP by assisting customers with product beta participation, capturing customer feedback, and collaborating closely with cross-functional Amazon teams

βœ… Define and improve processes and tools for the Programmatic Solutions Consultant team to better serve customers

βœ… Collaborate with PSC colleagues across North America, Europe, and Asia Pacific regions to improve the customer end-to-end experience by optimizing local market-specific nuances and requirements

ASSUMPTION: This role involves a high degree of customer interaction and requires strong communication, problem-solving, and analytical skills.

🎯 Required Qualifications

Education: Bachelor's degree in Business, Marketing, or a related field

Experience: 2-5 years of experience in advertising technology and programmatic advertising domain

Required Skills:

  • Proven experience in customer relationship management
  • Strong data analysis skills
  • Excellent communication and presentation skills
  • Ability to work effectively with cross-functional teams
  • Fluency in English and Mandarin Chinese

Preferred Skills:

  • Experience with Amazon Advertising products
  • Knowledge of the Chinese advertising market
  • Ability to speak and read Japanese

ASSUMPTION: While not explicitly stated, proficiency in Microsoft Office Suite and familiarity with CRM systems are likely to be beneficial for this role.

πŸ’° Compensation & Benefits

Salary Range: Based on industry standards for a Programmatic Solutions Consultant role in Shanghai, the estimated salary range is Β₯350,000 - Β₯550,000 per year (approximately $50,000 - $78,000 USD).

Benefits:

  • Health, dental, and vision insurance
  • Retirement savings plan with company match
  • Paid time off and holidays
  • Maternity and paternity leave
  • Employee discounts on Amazon products

Working Hours: Full-time position with standard working hours Monday through Friday, 9:00 AM to 6:00 PM. Overtime may be required as needed.

ASSUMPTION: The salary range provided is an estimate based on market research and may vary depending on the candidate's experience and qualifications.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Amazon is a multinational technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Company Size: Amazon is a large company with over 1.3 million employees worldwide. This size offers opportunities for career growth and exposure to diverse teams and projects.

Founded: Amazon was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington, USA.

Company Description:

  • Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking.
  • The company is driven by the excitement of building technologies, inventing products, and providing services that change lives.
  • Amazon embraces new ways of doing things, makes decisions quickly, and is not afraid to fail.

Company Specialties:

  • E-commerce
  • Retail
  • Operations
  • Internet

Company Website: Amazon.com

ASSUMPTION: Amazon's large size and diverse business segments offer numerous opportunities for career growth and development.

πŸ“Š Role Analysis

Career Level: This role is at the mid-level career stage, requiring several years of relevant experience.

Reporting Structure: The Programmatic Solutions Consultant reports directly to the Programmatic Solutions Consultant Manager.

Work Arrangement: This is an on-site role based in Shanghai, China, with the possibility of occasional remote work.

Growth Opportunities:

  • Advancement to a senior role within the Programmatic Solutions Consultant team
  • Transition to a product management or specialist role within Amazon Advertising
  • Expansion into other areas of Amazon's business, such as Amazon Web Services or Amazon Devices

ASSUMPTION: Given Amazon's size and diverse business segments, there are numerous opportunities for career growth and development within the company.

🌍 Location & Work Environment

Office Type: Amazon's Shanghai office is a modern, collaborative workspace with an open floor plan and various amenities.

Office Location(s): The Shanghai office is located in the Pudong New Area, one of the city's major commercial hubs.

Geographic Context:

  • Shanghai is the largest city in China by population and one of the world's most populous cities.
  • The city is a major financial hub and a global center for shipping, trade, and technology.
  • Shanghai has a humid subtropical monsoon climate, with mild winters and hot, humid summers.

Work Schedule: The standard work schedule is Monday through Friday, 9:00 AM to 6:00 PM, with flexibility for occasional remote work.

ASSUMPTION: The Shanghai office provides a dynamic and multicultural work environment, with numerous opportunities for professional growth and development.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screen with a member of the recruitment team
  • On-site or virtual interview with the hiring manager and team members
  • Final round interview with senior leadership
  • Background check and offer extension

Key Assessment Areas:

  • Customer relationship management skills
  • Data analysis and problem-solving abilities
  • Communication and presentation skills
  • Cultural fit and alignment with Amazon's leadership principles

Application Tips:

  • Highlight relevant experience in programmatic advertising and customer relationship management
  • Demonstrate strong data analysis skills and provide examples of how you've used data to drive business outcomes
  • Tailor your resume and cover letter to emphasize your fit for this role and company
  • Prepare thoughtful questions to ask during the interview to demonstrate your interest in the role and company

ATS Keywords: Programmatic Advertising, Customer Relationship Management, Data Analysis, Advertising Technology, Cross-Functional Collaboration, Problem Solving, Customer Support, Business Strategy, Feedback Collection, Process Improvement, Mentorship, Communication, E-Commerce

ASSUMPTION: The interview process for this role is likely to be comprehensive and competitive, given Amazon's high standards for hiring.

πŸ› οΈ Tools & Technologies

  • Amazon Advertising Platform (Amazon DSP)
  • Customer Relationship Management (CRM) software (e.g., Salesforce, HubSpot)
  • Data analysis tools (e.g., Excel, Google Analytics)
  • Presentation software (e.g., PowerPoint, Google Slides)

ASSUMPTION: Familiarity with Amazon's advertising platform and relevant CRM systems is likely to be beneficial for this role.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Customer obsession
  • Passion for invention
  • Commitment to operational excellence
  • Long-term thinking

Work Style:

  • Fast-paced and dynamic work environment
  • Collaborative and team-oriented culture
  • Focus on innovation and continuous improvement
  • Strong emphasis on customer-centricity

Self-Assessment Questions:

  • Do you have a strong passion for understanding and meeting customer needs?
  • Are you comfortable working in a fast-paced, dynamic environment?
  • Do you thrive in a collaborative, team-oriented culture?
  • Are you committed to continuous learning and improvement?

ASSUMPTION: A strong cultural fit for this role requires a customer-centric mindset, a passion for innovation, and the ability to thrive in a fast-paced, collaborative work environment.

⚠️ Potential Challenges

  • Managing multiple customer relationships and priorities simultaneously
  • Working with customers in different time zones and cultures
  • Keeping up with the rapid evolution of Amazon's advertising platform and industry best practices
  • Occasional travel requirements for customer meetings and industry events

ASSUMPTION: These challenges can be mitigated by strong organizational skills, effective time management, and a proactive approach to customer communication and support.

πŸ“ˆ Similar Roles Comparison

  • Unlike traditional advertising agencies, this role focuses on programmatic advertising and requires a deep understanding of Amazon's advertising platform
  • Compared to other programmatic advertising roles, this position emphasizes customer relationship management and data analysis skills
  • Career progression in this role may involve transitioning to a product management or specialist role within Amazon Advertising

ASSUMPTION: This role is unique within the advertising industry, requiring a blend of customer relationship management, data analysis, and programmatic advertising expertise.

πŸ“ Sample Projects

  • Developing and delivering a customized onboarding plan for a new programmatic trading desk customer
  • Analyzing customer campaign data to identify optimization opportunities and driving improved performance
  • Collaborating with internal teams to gather customer feedback and inform product improvements for Amazon DSP

ASSUMPTION: These sample projects illustrate the diverse range of responsibilities and the customer-centric focus of the Programmatic Solutions Consultant role.

❓ Key Questions to Ask During Interview

  • Can you describe the typical day-to-day responsibilities of a Programmatic Solutions Consultant in this role?
  • How does the Programmatic Solutions Consultant team collaborate with other internal teams to address customer needs and improve the product?
  • What opportunities are there for career growth and development within the Programmatic Solutions Consultant team and Amazon Advertising more broadly?
  • How does Amazon support work-life balance for employees in this role?
  • What are the most challenging aspects of this role, and how can I best prepare to succeed in them?

ASSUMPTION: Asking thoughtful questions during the interview demonstrates your interest in the role and provides valuable insights into the work environment and company culture.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through the Amazon Jobs website
  • Tailor your resume and cover letter to highlight your relevant experience in programmatic advertising and customer relationship management
  • Prepare for the interview by researching Amazon's advertising platform and industry trends
  • Prepare questions to ask the interviewer to demonstrate your interest in the role and company
  • Follow up with the hiring manager within one week after the interview to express your appreciation and reiterate your interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.