Technical Program Manager, Ads Marketing Decision Science
Amazon.com
Ads Marketing Decision Science is seeking a Technical Product Manager who is passionate about AI and Data solutions and Digital Ads & Marketing to join our team. In this role, you will work with cross-functional teams of technical and non-technical key stakeholders to develop product strategy, define business and product requirements, and work with technical teams to deliver software tools and services to enable numerous devices and services teams to achieve the vision of earth's most customer-centric tech marketing strategy. If you enjoy working in a rapidly changing environment and influencing the strategic direction of a global organization, this position will provide you with a challenging opportunity.
Key job responsibilities
• Leading team mechanisms such as Sprint Planning, Science Stand-ups, and Monthly Leadership Updates to ensure alignment and progress.
• Collaborating with stakeholders across Amazon Ads and Retail to strengthen partnerships and integrate solutions into broader systems.
• Maintaining comprehensive documentation and keeping the team Wiki up to date for streamlined knowledge sharing.
• Supporting science and engineering teams in discovering new data sources, identifying key POCs across Amazon, and removing development and research roadblocks.
A day in the life
* Work daily with engineers within a scrum team(s) to provide guidance and drive team mechanisms
* Dive deep into areas you're coordinating in order to give technical guidance.
* Work with key stakeholders in product management and executive teams to define strategy and requirements.
* Lead cross-functional development efforts on new technologies and features, from design to delivery.
* Communicate regularly with senior management on status, victories, and risks.
About the team
The Marketing Decision Science team is responsible for the science initiatives under the Marketing Effectiveness and Intelligence (ME&I) org. The ME&I team mission is to deliver personalized, cohesive, and compelling marketing communications across all channels—both Amazon-owned and third-party platforms, by harnessing the power of data science, analytics, and technology. We aim to help both existing and prospective Amazon Ads customers meet their business objectives and uncover growth opportunities. by guiding them through their advertising lifecycle with relevant, personalized content and clear, actionable insights.
Key job responsibilities
• Leading team mechanisms such as Sprint Planning, Science Stand-ups, and Monthly Leadership Updates to ensure alignment and progress.
• Collaborating with stakeholders across Amazon Ads and Retail to strengthen partnerships and integrate solutions into broader systems.
• Maintaining comprehensive documentation and keeping the team Wiki up to date for streamlined knowledge sharing.
• Supporting science and engineering teams in discovering new data sources, identifying key POCs across Amazon, and removing development and research roadblocks.
A day in the life
* Work daily with engineers within a scrum team(s) to provide guidance and drive team mechanisms
* Dive deep into areas you're coordinating in order to give technical guidance.
* Work with key stakeholders in product management and executive teams to define strategy and requirements.
* Lead cross-functional development efforts on new technologies and features, from design to delivery.
* Communicate regularly with senior management on status, victories, and risks.
About the team
The Marketing Decision Science team is responsible for the science initiatives under the Marketing Effectiveness and Intelligence (ME&I) org. The ME&I team mission is to deliver personalized, cohesive, and compelling marketing communications across all channels—both Amazon-owned and third-party platforms, by harnessing the power of data science, analytics, and technology. We aim to help both existing and prospective Amazon Ads customers meet their business objectives and uncover growth opportunities. by guiding them through their advertising lifecycle with relevant, personalized content and clear, actionable insights.
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