A

Sr. Product Manager APB Catalog, Private Brands Marketing

Amazon
Full-time
On-site
Seattle, Washington, United States
🎨 Brand & Creative Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Senior Product Manager, APB Catalog, Private Brands Marketing

πŸ”Ή Company: Amazon

πŸ”Ή Location: Seattle, WA, USA

πŸ”Ή Job Type: On-site

πŸ”Ή Category: Product Management

πŸ”Ή Date Posted: May 16, 2025

πŸ”Ή Experience Level: 5-10 years

πŸ”Ή Remote Status: No (On-site)

πŸš€ Job Overview

Key aspects of this role include:

  • Defining the vision for Amazon Private Brands' product merchandising transition from rules-based to AI-driven.
  • Building and executing a roadmap to measure and optimize ASIN merchandising for customer obsession.
  • Collaborating with data science and engineering teams to deliver AI solutions at scale.
  • Partnering with various levels of the Amazon Private Brands business to identify and resolve strategic issues.

ASSUMPTION: This role requires a strong background in product management, experience working with data science and engineering teams, and the ability to proactively identify and resolve strategic issues.

πŸ“‹ Key Responsibilities

βœ… Lead the vision, develop the roadmap, and drive execution to transition APB's ASIN merchandising work from rules-based to AI-based.

βœ… Work closely with data science and engineering teams to deliver AI solutions that scale across the APB catalog.

βœ… Own APB's efforts on a set of catalog attributes that are key to the ASIN experience.

βœ… Interface and partner with all levels of the Amazon Private Brands businesses to proactively identify and resolve strategic issues.

ASSUMPTION: The responsibilities listed above are based on the provided job description. However, the role may evolve and require additional or different tasks as needed.

🎯 Required Qualifications

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

Experience: 5-10 years of experience in product management, with a focus on e-commerce and merchandising.

Required Skills:

  • Proven experience in product management, with a strong background in data-driven decision making.
  • Experience working with data science and engineering teams to deliver AI solutions.
  • Excellent communication and stakeholder management skills.
  • Strong problem-solving abilities and strategic thinking.

Preferred Skills:

  • Experience with Amazon's product catalog and merchandising processes.
  • Familiarity with AI and machine learning concepts.

ASSUMPTION: While the job listing does not explicitly state preferred qualifications, these skills are inferred based on the role's requirements and the company's focus on AI and data-driven decision making.

πŸ’° Compensation & Benefits

Salary Range: $120,000 - $180,000 per year (based on industry standards for a Senior Product Manager role in Seattle, WA)

Benefits:

  • Health, dental, and vision insurance
  • 401(k) matching
  • Paid time off and holidays
  • Maternity and paternity leave
  • Employee discounts

Working Hours: Full-time (40 hours per week), with flexible work arrangements available.

ASSUMPTION: The salary range and benefits listed above are based on industry standards for the role, location, and experience level. Actual compensation may vary based on the company's internal policies and the candidate's qualifications.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: E-commerce and Retail

Company Size: 10,000+ employees (Enterprise)

Founded: 1994

Company Description:

  • Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence.
  • 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.

Company Specialties:

  • E-commerce
  • Retail
  • Operations
  • Internet

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

ASSUMPTION: Amazon is a well-established company with a strong focus on innovation, customer experience, and operational excellence. This role offers the opportunity to work on cutting-edge AI projects and contribute to the company's mission to be Earth's most customer-centric company.

πŸ“Š Role Analysis

Career Level: Senior

Reporting Structure: This role reports directly to the Director of Product Management for Amazon Private Brands.

Work Arrangement: On-site, with the possibility of hybrid or remote work arrangements based on the company's policies and the candidate's needs.

Growth Opportunities:

  • Potential career progression into a Director or Vice President of Product Management role within Amazon Private Brands or other Amazon businesses.
  • Opportunities to work on high-impact projects and gain exposure to various aspects of Amazon's business.
  • Access to professional development resources and training programs offered by Amazon.

ASSUMPTION: This role offers significant growth opportunities for the right candidate, with the potential to advance their career within Amazon's product management organization.

🌍 Location & Work Environment

Office Type: Corporate office environment with open-plan workspaces and dedicated meeting rooms.

Office Location(s): Seattle, WA, USA

Geographic Context:

  • Seattle is a major city in the Pacific Northwest region of the United States, known for its natural beauty, vibrant culture, and thriving tech industry.
  • The city offers a diverse range of neighborhoods, amenities, and recreational opportunities.
  • Seattle has a mild, oceanic climate with cool, wet winters and mild, relatively dry summers.

Work Schedule: Standard business hours, with the possibility of flexible scheduling based on the team's needs and the candidate's preferences.

ASSUMPTION: The work environment at Amazon's Seattle headquarters is dynamic, collaborative, and focused on innovation. The office is located in the city's South Lake Union neighborhood, which is home to many of Seattle's tech companies and offers easy access to public transportation, restaurants, and other amenities.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screen with a recruiter
  • Phone or video interview with the hiring manager
  • On-site or virtual interview with the team
  • Final interview with the Director or Vice President of Product Management

Key Assessment Areas:

  • Product management experience and skills
  • Data-driven decision making and analytical thinking
  • Communication and stakeholder management skills
  • Problem-solving abilities and strategic thinking

Application Tips:

  • Tailor your resume and cover letter to highlight your relevant experience and skills for this role.
  • Be prepared to discuss your experience with AI and data-driven product management.
  • Research Amazon's product merchandising processes and be ready to discuss your ideas for improving them.

ATS Keywords: Product Management, E-commerce, Merchandising, AI, Data Science, Engineering, Strategic Planning, Problem Solving

ASSUMPTION: The application process for this role is likely to be competitive, and candidates should be prepared to demonstrate their relevant experience and skills throughout the interview process.

πŸ› οΈ Tools & Technologies

  • Amazon's internal product management tools and platforms
  • Data analysis and visualization tools (e.g., Excel, Power BI, Tableau)
  • AI and machine learning tools (e.g., Amazon SageMaker, AWS DeepRacer)

ASSUMPTION: The tools and technologies required for this role are likely to be specific to Amazon's internal systems and processes. Candidates should be prepared to learn and adapt to these tools as needed.

πŸ‘” Cultural Fit Considerations

Company Values:

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

Work Style:

  • Fast-paced and dynamic
  • Collaborative and cross-functional
  • Data-driven and analytical
  • Innovative and customer-focused

Self-Assessment Questions:

  • Do you have a strong customer focus and a passion for inventing products that delight customers?
  • Are you comfortable working in a fast-paced, dynamic environment and collaborating with cross-functional teams?
  • Do you have a proven track record of using data to drive decision making and improve product merchandising?

ASSUMPTION: Amazon's company culture is highly collaborative, innovative, and customer-focused. Candidates should be prepared to demonstrate their alignment with these values and work styles throughout the interview process.

⚠️ Potential Challenges

  • Working in a fast-paced, dynamic environment may require candidates to adapt quickly and manage multiple priorities.
  • Collaborating with cross-functional teams may require strong communication and stakeholder management skills.
  • Transitioning APB's merchandising processes from rules-based to AI-driven may present technical and operational challenges.
  • Seattle's cost of living may be higher than in other cities, which could impact the candidate's overall compensation package.

ASSUMPTION: While this role offers many exciting opportunities, candidates should be prepared to face potential challenges related to the work environment, team dynamics, and cost of living.

πŸ“ˆ Similar Roles Comparison

  • This role is unique within Amazon, as it focuses specifically on transitioning Amazon Private Brands' product merchandising from rules-based to AI-driven.
  • However, the skills and experience required for this role are similar to those required for other senior product management roles within Amazon and the broader e-commerce industry.
  • Career progression in this role may lead to opportunities in other senior product management roles within Amazon or other e-commerce companies.

ASSUMPTION: While this role is unique within Amazon, the skills and experience required for it are similar to those required for other senior product management roles within the company and the broader e-commerce industry. Candidates should be prepared to discuss their relevant experience and how it applies to this specific role.

πŸ“ Sample Projects

  • Developing and executing a roadmap to transition APB's ASIN merchandising from rules-based to AI-driven.
  • Collaborating with data science and engineering teams to deliver AI solutions that scale across the APB catalog.
  • Conducting customer research and usability testing to inform the design and optimization of APB's product detail pages.

ASSUMPTION: The sample projects listed above are based on the role's responsibilities and may vary depending on the candidate's specific focus areas and the team's priorities.

❓ Key Questions to Ask During Interview

  • Can you describe the current state of APB's ASIN merchandising processes and the vision for transitioning them to AI-driven?
  • How does this role collaborate with other teams within Amazon Private Brands and the broader Amazon organization?
  • What are the key challenges and opportunities in transitioning APB's merchandising processes to AI-driven?
  • How does Amazon support the professional development and growth of its product management team members?
  • What is the work-life balance like for this role, and how does Amazon support its employees' well-being?

ASSUMPTION: Candidates should prepare thoughtful questions that demonstrate their interest in the role and their understanding of the company's mission and values.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through the Amazon Jobs portal.
  • Tailor your resume and cover letter to highlight your relevant experience and skills for this role, with a focus on product management, data-driven decision making, and AI experience.
  • Prepare for your interviews by researching Amazon's product merchandising processes and developing ideas for improving them.
  • Follow up with the recruiter or hiring manager within one week of your interview to express your continued interest in the role.

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