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Principal Product Manager Technical, Business Data Technologies
Job Location:
Job Location:
Seattle, WA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
17 August 2026 (14 hours ago)
Posted:
Application Deadline:
14 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
At Amazon data is critical to everything we do from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel helping us to understand customer needs onboard new sellers and selection and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy intuitive and cost-efficient solutions for Amazonians to secure store analyze and transform this data at unparalleled scale. BDT owns develops and operates Andes one of the largest data lakes in the world storing 3 exabytes of data read/written to by 100k data pipelines with >60k monthly active users. To do this we need extraordinary individuals to build the next generation of data analytics machine learning and AI solutions for thousands of scientists engineers and analysts who rely upon us to get their jobs done.
The BDT-AI4ME organization works bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
BDT Principal Product Managers - Tech (PMT) provide the three-year product visions and strategies for their 50 person organizations while also providing clear iterative roadmaps to get there. They deliver results in collaboration with Engineering teams and Principal Engineers to create clean architectures that support coherent and intuitive user experiences. As a Principal Product Manager in the BDT-AI4ME organization you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazons business teams work with their data teams and you seek to reduce friction and error-proneness of those interactions by enhancing business processes and automations using AI.
Key job responsibilities
You focus on the data needs of business users and their user journeys from question to insight. You formulate a strategy for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement process optimization role guidelines and org design.
You work backwards from user needs and leverage data such as service telemetry user feedback and industry trends to author PR/FAQs 3-year strategies roadmaps launch announcements and user documentation. As part of a broader team you collaborate with other product managers to ensure that work in your space works coherently with current and upcoming features being launched by other BDT teams give feedback on narratives contribute to strategy (e.g. OP1 planning) set goals discuss weekly business metrics and more.
Data drives your flywheel. You analyze data to glean insights that drive experimentation. You take whats proven and partner with Amazon organizations to apply and scale it. You define implement and monitor metrics that track your progress.
You partner with Amazons business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You partner with Amazons PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You understand and work to improve the interfaces (MCPs APIs) that technology teams of Amazons business orgs use to connect their bespoke AI solutions to the Andes data lake.
Launching a capability is only the start. Post launch you are responsible for increasing usage iterating on user feedback and user education. You partner with engineering human resources legal documentation solution architecture privacy finance and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner you hold yourself and partners accountable for the highest quality user outcomes.
You provide clarity where there is ambiguity.
- 7 years of end to end product delivery experience
- 10 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- Experience delivering large-scale SaaS PaaS or LaaS products where you are responsible for the full product lifecycle from concept through GTM (go to market)
- Experience making product decisions using judgment and data including collaborating with users and internal partners to solicit diverse perspectives
- Experience successfully improving processes for product management and for collaboration with partner teams
- Experience defining and executing go-to-market strategies
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating influencing planning and executing across teams
- Bachelors degree or higher
- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases data lakes storage and distributed systems including architectural and operational aspects
- Experience working with and influencing senior level stakeholders
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The BDT-AI4ME organization works bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
BDT Principal Product Managers - Tech (PMT) provide the three-year product visions and strategies for their 50 person organizations while also providing clear iterative roadmaps to get there. They deliver results in collaboration with Engineering teams and Principal Engineers to create clean architectures that support coherent and intuitive user experiences. As a Principal Product Manager in the BDT-AI4ME organization you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazons business teams work with their data teams and you seek to reduce friction and error-proneness of those interactions by enhancing business processes and automations using AI.
Key job responsibilities
You focus on the data needs of business users and their user journeys from question to insight. You formulate a strategy for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement process optimization role guidelines and org design.
You work backwards from user needs and leverage data such as service telemetry user feedback and industry trends to author PR/FAQs 3-year strategies roadmaps launch announcements and user documentation. As part of a broader team you collaborate with other product managers to ensure that work in your space works coherently with current and upcoming features being launched by other BDT teams give feedback on narratives contribute to strategy (e.g. OP1 planning) set goals discuss weekly business metrics and more.
Data drives your flywheel. You analyze data to glean insights that drive experimentation. You take whats proven and partner with Amazon organizations to apply and scale it. You define implement and monitor metrics that track your progress.
You partner with Amazons business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You partner with Amazons PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You understand and work to improve the interfaces (MCPs APIs) that technology teams of Amazons business orgs use to connect their bespoke AI solutions to the Andes data lake.
Launching a capability is only the start. Post launch you are responsible for increasing usage iterating on user feedback and user education. You partner with engineering human resources legal documentation solution architecture privacy finance and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner you hold yourself and partners accountable for the highest quality user outcomes.
You provide clarity where there is ambiguity.
- 7 years of end to end product delivery experience
- 10 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- Experience delivering large-scale SaaS PaaS or LaaS products where you are responsible for the full product lifecycle from concept through GTM (go to market)
- Experience making product decisions using judgment and data including collaborating with users and internal partners to solicit diverse perspectives
- Experience successfully improving processes for product management and for collaboration with partner teams
- Experience defining and executing go-to-market strategies
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating influencing planning and executing across teams
- Bachelors degree or higher
- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases data lakes storage and distributed systems including architectural and operational aspects
- Experience working with and influencing senior level stakeholders
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 179900.00 - 243400.00 USD annually
Required Experience:
Staff IC
About Company
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