Product Manager - Tech, Data: Science & Engineering

Product Manager - Tech, Data: Science & Engineering

The Data: Science & Engineering (D:SE) team at AWS Marketing is responsible for providing data-driven marketing technology solutions. The team owns the core ROI measurement, generative AI and Machine Learning, analytics and data pillars critical to AWS Marketing's success. We deliver the foundational data infrastructure powering all data products and services via our centralized data lake. We provide insights, tools, and methodologies to analyze performance and return on investment. Key tenets include impact-driven prioritization, favoring automation and self-service, relentless focus on data quality, and driving relevancy through AI/ML targeting and segmentation models. Our vision is to create an AI-powered, data-driven marketing technology ecosystem resulting in unparalleled efficiency, personalization, and measurable business impact.

We are looking for a Product Manager - Technical (PM-T) to contribute to the development and delivery of our data technology solutions. In this role, you will help implement data infrastructure, analytics, and AI/ML capabilities to enable data-driven decision making and ROI optimization across AWS Marketing. You will work with cross-functional teams to execute on the product roadmap, support implementation, and contribute to delivering solutions that align with our core tenets around impact-driven prioritization, automation, and data quality.

The PMT will be responsible for managing specific features or components of products with significant impact. They will contribute to product strategy, feature design, and roadmap priorities. They will work closely with stakeholders to execute tactical plans and support the strategic vision. A PMT should have a good technical understanding to contribute to technology discussions, recognize design implications, and ensure solutions meet scalability needs.

Our environment is fast-paced. The ideal candidate will be a self-starter, curious, detail-oriented, and organized. Strong communication skills (both oral and written) are important.

Key job responsibilities

1. Contribute to product vision, strategy, and roadmap.
2. Collaborate with Engineering, User Experience, Personalization, Product Marketing, and other teams to execute on the vision.
3. Execute on specific areas of the roadmap as a product owner.
4. Work with engineering and business intelligence teams to deliver results.
5. Understand the technology behind what you build and its impact on the customer experience.
6. Conduct data analysis and research to support decision-making.
7. Contribute to improving product management practices within the team.

About the team: The Data: Science and Engineering team builds measurement products, AI/ML models for targeting and segmentation, and self-service insights capabilities to drive better performance and strategic decisions in AWS Marketing globally. We are the central data and science organization, and we work with different teams in AWS Marketing to drive better measurement, improve data access and analytical self-service, deploy and test AI/ML-powered targeting models, and empower strategic decisions with business deep dives.

Minimum Requirements

- 5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience.

- Knowledge of agile product development and life-cycle management process.

- Experience leading cross-functional teams to deliver products and online services on tight deadlines.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company.