1

Product Catalog Manager Jobs (NOW HIRING)

Product Data Manager We have a large, complex product catalog and a small, capable e-commerce and IT team. Today, our Data Analyst handles scripted cleanup and pricing updates, our Ecommerce Director ...

DESCRIPTION Product Data Manager We have a large, complex product catalog and a small, capable e-commerce and IT team. Today, our Data Analyst handles scripted cleanup and pricing updates, our E ...

Senior Growth Operator (DPA & Catalog)

Franklin, TN · On-site

$119K - $156K/yr

The Role We are hiring a Senior Performance Marketing Manager focused on Dynamic Product Ads (DPA), catalog strategy, and performance systems. You will own a portfolio of high-growth DTC brands and ...

This role combines machine learning, product catalog management, and digital commerce to improve product descriptions, product intelligence, and recommendation systems. The ideal candidate will ...

Internal/External Catalog Management * Manage company product catalog, ensuring all product data is accurate. * Collaboration with Marketing Manager on digital assets required. * Manage outsourced ...

Senior Growth Operator (DPA & Catalog)

Nashville, TN · On-site

$116K - $153K/yr

The Role We are hiring a Senior Performance Marketing Manager focused on Dynamic Product Ads (DPA), catalog strategy, and performance systems. You will own a portfolio of high-growth DTC brands and ...

next page

Showing results 1-20

Product Catalog Manager information

See salary details

$51.5K

$159.4K

$197K

How much do product catalog manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for product catalog manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Product Catalog Manager, and why are they important?

To thrive as a Product Catalog Manager, you need strong organizational skills, attention to detail, and experience in data management, typically supported by a degree in business, marketing, or a related field. Familiarity with product information management (PIM) systems, e-commerce platforms, and proficiency in Excel or other data tools is essential. Excellent communication, problem-solving abilities, and cross-functional collaboration skills help you effectively manage product data and work with multiple teams. These skills ensure accurate, up-to-date product information that drives sales, enhances customer experience, and supports business growth.

What are some typical challenges Product Catalog Managers face when maintaining large and dynamic product inventories?

Product Catalog Managers often face the challenge of ensuring product data accuracy and consistency as inventories grow and change frequently. Coordinating updates across multiple departments—such as marketing, sales, and supply chain—can be complex, especially when new products are introduced or older ones are retired. Additionally, adapting to evolving e-commerce platforms and integrating data from diverse sources can require strong attention to detail and robust organizational skills. Effective communication and proactive process management are essential for meeting these challenges and ensuring a seamless customer experience.

What does a Product Catalog Manager do?

A Product Catalog Manager is responsible for organizing, updating, and maintaining a company's product listings across various sales channels. They ensure that product information such as images, descriptions, prices, and specifications is accurate and up to date. This role often involves collaborating with marketing, sales, and IT teams to optimize product data for searchability and customer experience. Additionally, Product Catalog Managers analyze catalog performance and implement improvements to drive sales and operational efficiency.

What does a catalog manager do?

A product catalog manager is responsible for organizing, maintaining, and updating a company's product information across sales channels. They ensure product data is accurate, complete, and consistent, often using catalog management software and collaborating with marketing, sales, and inventory teams. Their work helps improve product visibility and customer experience.

What is the difference between Product Catalog Manager vs Product Data Analyst?

AspectProduct Catalog ManagerProduct Data Analyst
Primary FocusManaging and organizing product listings, ensuring accuracy and consistencyAnalyzing product data to identify trends and improve product performance
Skills & CertificationsProduct management, data entry, catalog software proficiencyData analysis, SQL, Excel, statistical skills
Work EnvironmentE-commerce, retail, manufacturing companiesData-driven departments, marketing, e-commerce

The Product Catalog Manager primarily oversees the organization and accuracy of product listings, ensuring a seamless shopping experience. In contrast, the Product Data Analyst focuses on analyzing product data to inform business decisions. Both roles require data skills and are common in retail and e-commerce industries, but their core responsibilities differ significantly.

What's the highest paying PM job?

The highest paying product management roles are often executive-level positions such as Vice President of Product or Chief Product Officer, which can offer six-figure salaries and bonuses. These roles typically require extensive experience, strategic leadership skills, and a strong understanding of market trends and product development processes.

What jobs in the US pay 300,000 a year?

Product Catalog Managers typically do not earn $300,000 annually; such high salaries are more common in executive roles like Chief Product Officers, senior software engineers, or specialized consultants with extensive experience and advanced skills. High-paying roles often require advanced degrees, certifications, and significant industry experience. Compensation varies based on company size, location, and individual expertise.

What is the salary of catalog manager in Amazon?

The salary of a Product Catalog Manager at Amazon typically ranges from $70,000 to $120,000 annually, depending on experience, location, and level within the company. Additional benefits may include bonuses, stock options, and health insurance, with roles often requiring proficiency in catalog management tools and data analysis.
More about Product Catalog Manager jobs
What cities are hiring for Product Catalog Manager jobs? Cities with the most Product Catalog Manager job openings:
What states have the most Product Catalog Manager jobs? States with the most job openings for Product Catalog Manager jobs include:
Infographic showing various Product Catalog Manager job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Product Manager - Order-to-Cash Automation & Intelligence

Product Manager - Order-to-Cash Automation & Intelligence

Inabia Software & Consulting Inc.

Redmond, WA • On-site

Contractor

Posted 28 days ago


Job description

  • AI Product Manager – Order-to-Cash Automation & Intelligence
  • Location: Redmond, WA (Onsite – 5 Days per Week)
  • Employment Type: Long-Term Contract (W-2 Only)
  • Work Authorization: U.S. Citizen or Green Card Holder Only (No Sponsorship Available)
  • Compensation: $75.00 - $80.00 per hr.

Preferred Qualifications Experience supporting Amazon, Kuiper, Microsoft, Comcast, Verizon, T-Mobile, or similar high-scale organizations. Experience with:
  • OpenAI
  • Anthropic Claude
  • Amazon Bedrock
  • Azure OpenAI
  • AWS AI Services
  • Google Vertex AI
Knowledge of Fraud Operations, Billing, Tax, Revenue Assurance, or Financial Compliance. Experience building AI copilots, agents, or intelligent workflow tools. Familiarity with Jira, Confluence, SQL, Tableau, Power BI, or similar platforms. Required Qualifications 7+ years of Product Management experience. 3+ years leading AI, Machine Learning, Intelligent Automation, or Generative AI initiatives. Experience managing products supporting Order-to-Cash, eCommerce, Billing, Payments, Subscription Management, Revenue Operations, or Financial Systems. Strong experience writing:
  • Product Requirements Documents (PRDs)
  • Business Requirements Documents (BRDs)
  • User Stories
  • Acceptance Criteria
Experience working in Agile/Scrum environments. Strong understanding of business process automation and workflow optimization. Excellent communication and stakeholder management skills. Experience collaborating with Engineering, Data Science, and Business Operations teams. Stakeholder Management Partner with Finance, Tax, Compliance, Fraud Operations, Legal, Customer Experience, and Engineering leadership. Present AI product strategy, roadmap progress, risks, and business outcomes to executive stakeholders. Drive alignment across technical and business teams. AI & Intelligent Automation
Support initiatives involving: Generative AI (LLMs) AI Assistants and Copilots Agentic AI workflows Intelligent Document Processing Predictive Analytics Fraud Detection Models Conversational AI Recommendation Engines Workflow Automation Customer Service Automation Product Delivery & Execution Define product requirements, user stories, acceptance criteria, and success metrics. Partner with Engineering teams to design, build, test, and deploy AI-powered applications and tools. Collaborate with Data Science, Machine Learning, and Analytics teams to operationalize AI models. Lead Agile ceremonies and product planning activities. Manage product lifecycle from ideation through deployment and continuous improvement. Order-to-Cash Process Optimization
Drive AI capabilities across: Customer onboarding Product catalog management Pricing and promotions Order validation Fraud detection and prevention Billing and invoicing Subscription lifecycle management Tax determination and compliance Returns and refunds Revenue assurance and reconciliation Customer support automation Overview
Inabia Solutions & Consulting is seeking an experienced AI Product Manager to drive the strategy, development, and deployment of AI-powered solutions that enhance and automate critical Order-to-Cash (O2C) business processes.
This role will focus on identifying opportunities to leverage Generative AI, Machine Learning, Intelligent Automation, and Agentic AI capabilities to improve operational efficiency, customer experience, fraud detection, billing accuracy, tax compliance, order processing, and revenue lifecycle management.
The ideal candidate combines strong Product Management expertise with practical experience implementing AI-driven business solutions within large-scale eCommerce, subscription, telecommunications, financial services, or technology environments.
This is a highly visible role requiring close collaboration with Product, Engineering, Finance, Operations, Risk, Fraud, Tax, Compliance, and Customer Experience teams.
Key Responsibilities
AI Product Strategy
  • Identify high-value opportunities to apply AI and automation across the Order-to-Cash lifecycle.
  • Develop AI product roadmaps aligned with business objectives and operational efficiency goals.
  • Prioritize AI initiatives based on customer impact, risk reduction, revenue protection, and operational scalability.
  • Build business cases and success metrics for AI-powered solutions.
Order-to-Cash Process Optimization
Drive AI capabilities across:
  • Customer onboarding
  • Product catalog management
  • Pricing and promotions
  • Order validation
  • Fraud detection and prevention
  • Billing and invoicing
  • Subscription lifecycle management
  • Tax determination and compliance
  • Returns and refunds
  • Revenue assurance and reconciliation
  • Customer support automation
Product Delivery & Execution
  • Define product requirements, user stories, acceptance criteria, and success metrics.
  • Partner with Engineering teams to design, build, test, and deploy AI-powered applications and tools.
  • Collaborate with Data Science, Machine Learning, and Analytics teams to operationalize AI models.
  • Lead Agile ceremonies and product planning activities.
  • Manage product lifecycle from ideation through deployment and continuous improvement.
AI & Intelligent Automation
Support initiatives involving:
  • Generative AI (LLMs)
  • AI Assistants and Copilots
  • Agentic AI workflows
  • Intelligent Document Processing
  • Predictive Analytics
  • Fraud Detection Models
  • Conversational AI
  • Recommendation Engines
  • Workflow Automation
  • Customer Service Automation
Stakeholder Management
  • Partner with Finance, Tax, Compliance, Fraud Operations, Legal, Customer Experience, and Engineering leadership.
  • Present AI product strategy, roadmap progress, risks, and business outcomes to executive stakeholders.
  • Drive alignment across technical and business teams.
Required Qualifications
  • 7+ years of Product Management experience.
  • 3+ years leading AI, Machine Learning, Intelligent Automation, or Generative AI initiatives.
  • Experience managing products supporting Order-to-Cash, eCommerce, Billing, Payments, Subscription Management, Revenue Operations, or Financial Systems.
  • Strong experience writing:
    • Product Requirements Documents (PRDs)
    • Business Requirements Documents (BRDs)
    • User Stories
    • Acceptance Criteria
  • Experience working in Agile/Scrum environments.
  • Strong understanding of business process automation and workflow optimization.
  • Excellent communication and stakeholder management skills.
  • Experience collaborating with Engineering, Data Science, and Business Operations teams.
Preferred Qualifications
  • Experience supporting Amazon, Kuiper, Microsoft, Comcast, Verizon, T-Mobile, or similar high-scale organizations.
  • Experience with:
    • OpenAI
    • Anthropic Claude
    • Amazon Bedrock
    • Azure OpenAI
    • AWS AI Services
    • Google Vertex AI
  • Knowledge of Fraud Operations, Billing, Tax, Revenue Assurance, or Financial Compliance.
  • Experience building AI copilots, agents, or intelligent workflow tools.
  • Familiarity with Jira, Confluence, SQL, Tableau, Power BI, or similar platforms.

 

Powered by JazzHR

Oob0rBYuJt