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Amazon Product Owner Jobs (NOW HIRING)

Hands‑on experience with Amazon Redshift for cloud data warehousing, including query optimization ... Certified Scrum Product Owner (CSPO), SAFe POPM, or equivalent certification. Preferred ...

Senior / Lead About the role The AI CoE builds and ships agentic AI systems that sit on top of our core product APIs - a Copilot platform on Amazon Bedrock AgentCore, MCP-based tool servers, and AI ...

Senior / Lead About the role The AI CoE builds and ships agentic AI systems that sit on top of our core product APIs - a Copilot platform on Amazon Bedrock AgentCore, MCP-based tool servers, and AI ...

Senior / Lead About the role The AI CoE builds and ships agentic AI systems that sit on top of our core product APIs - a Copilot platform on Amazon Bedrock AgentCore, MCP-based tool servers, and AI ...

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Amazon Product Owner information

See salary details

$41.5K

$112.9K

$164.5K

How much do amazon product owner jobs pay per year?

As of Sep 10, 2026, the average yearly pay for amazon product owner in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What does an Amazon Product Owner do?

An Amazon Product Owner is responsible for defining the vision and strategy of a product or feature on Amazon's platform, prioritizing development tasks, and ensuring that the product meets customer needs. They act as the liaison between stakeholders, engineering teams, and business units, translating business requirements into actionable tasks. Their role also involves analyzing data, setting key performance indicators (KPIs), and continuously iterating on the product based on customer feedback and market trends.

What are the key skills and qualifications needed to thrive as an Amazon Product Owner?

To thrive as an Amazon Product Owner, you need a solid understanding of product management principles, e-commerce strategies, and experience working with cross-functional teams, often supported by a degree in business or a related field. Familiarity with tools like Jira, Scrum/Agile methodologies, and Amazon Seller Central is typically required, along with certifications such as Certified Scrum Product Owner (CSPO) being advantageous. Strong communication, stakeholder management, and problem-solving abilities are essential soft skills for excelling in this role. These skills and qualifications are vital for effectively guiding product development, ensuring alignment with business goals, and maximizing product performance on the Amazon platform.

How does an Amazon Product Owner typically collaborate with cross-functional teams to deliver successful product launches?

As an Amazon Product Owner, you'll work closely with engineers, designers, data analysts, and marketing teams to define product requirements and prioritize features. Regular communication, such as sprint planning and daily stand-ups, ensures alignment and quick resolution of blockers. You'll also gather feedback from stakeholders and end-users to refine product direction and maximize value. Effective collaboration is key to navigating fast-paced environments and delivering products that meet both customer needs and business goals.

What is the difference between Amazon Product Owner vs Amazon Business Analyst?

AspectAmazon Product OwnerAmazon Business Analyst
Required CredentialsCertifications in product management, Agile/Scrum, relevant experienceCertifications in data analysis, business intelligence, relevant experience
Work EnvironmentAgile teams, product development projects within AmazonData-driven analysis, reporting, process improvement teams
Employer & Industry UsagePrimarily in product development, e-commerce, tech teamsAcross business units, focusing on data insights and process optimization

The Amazon Product Owner focuses on managing product development, prioritizing features, and working closely with development teams. In contrast, the Amazon Business Analyst analyzes data to inform business decisions and improve processes. Both roles require analytical skills and familiarity with Amazon's environment but serve different functions within the organization.

Does Amazon have product owners?

Yes, Amazon employs Product Owners who are responsible for defining product vision, managing backlogs, and collaborating with development teams to deliver features. These roles typically require strong communication skills, knowledge of Agile methodologies, and experience with product management tools. Product Owners at Amazon work closely with cross-functional teams to meet business goals and customer needs.
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Cities with the most Amazon Product Owner job openings:

What states have the most Amazon Product Owner jobs?

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Infographic showing various Amazon Product Owner job openings in the United States as of September 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

Data Product Owner-Senior Associate

Columbus, OH • On-site

JPMorgan Chase & Co
Finance and Insurance • 10K+ employees

Full-time

Medical, Retirement

Posted 12 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


Job description

Champion innovation at the intersection of technology and business, guiding cross-functional teams to deliver analytics products that drive real value.

As successful Data Product Owner on the Digital Data Owner Team, you play a key role in the firm's agenda of enabling the business to drive faster innovation through the use of its data by ensuring that data is clearly documented, of good quality, and well-protected. You'll be responsible for customer application and account opening, data that is created, published to the data lake, or consumed for advanced analytics or AI/ML use cases. You'll serve as a subject matter expert to help define and classify data critical to their product, support change management from legacy to modernized data, and collaborate with technology and business partners to execute on data requirements. Additionally, you'll help identify, monitor, and mitigate data risks throughout the data life cycle, and simplify the work involved in getting data from generation to conversion into dashboards, models, and natural language queries.

Job responsibilities

  • Document data requirements for your product, coordinate with technology to get the data created, and work with business partners to help manage change from legacy data to modernized data.
  • Model the data with a long-term vision to enable efficient querying, natural language querying, and use in LLMs; utilize the business data dictionary and business metadata from tech and product teams to describe the data in simple, understandable terms.
  • Contribute ideas for data products by understanding analytics needs and pain points; help create prototypes that analytics and data engineering teams can use as requirements in productizing the datasets.
  • Support the development of proof of concepts for natural language querying of the data, and collaborate with analytics, data science, and other stakeholders to roll out the capability to business users.
  • Support the team in building the backlog, grooming initiatives, and creating user stories to help data engineering scrum teams publish new data and create data products.
  • Partner with Technology, Product, Analytics, Operations, Risk, and Control teams to investigate data issues, identify root causes, and support timely remediation.
  • Maintain comprehensive documentation of data models, data structures, business rules, metadata, and data delivery processes.

Required qualifications, capabilities, and skills

  • Bachelor's degree in an applicable STEM field
  • 3+ years of working experience in Data Science, Computer Science, Information Systems, Data Analytics, or a related field.
  • Ability to generate data models using firmwide tooling and designs for high-performance querying/reporting
  • Experience with data technologies such as analytics, business intelligence, machine learning, data warehousing and data modeling.
  • Working knowledge of data management, metadata, data quality, privacy/security, retention, and governance concepts.
  • Strong knowledge of SQL, database concepts, Kafka, Amazon Web Services (AWS), and Snowflake
  • Familiarity with natural language processing, machine learning, and deep learning toolkits (such as TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Familiarity with open data standards, data taxonomy and vocabularies, and metadata management
  • Able to balance short-term goals and long-term vision in complex environments. 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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