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Senior TPM - ML Science, Deep Science for Systems and Services
Amazon
Software Engineering, Data Science
Arlington, VA, USA
Posted on Jul 8, 2025
DESCRIPTION
We are seeking an experienced Senior Technical Program Manager to define and deliver high-impact programs with broad cross-organizational, cross-business, and significant technology impact within DS3. This role requires exceptional technical program management skills, strategic thinking, and the ability to operate with complete independence in ambiguous environments.
As a Senior Technical Program Manager in DS3, you will be at the forefront of AI/ML innovation at AWS, driving initiatives that shape the future of machine learning systems and services.
Key job responsibilities
* Strategic Program Leadership: Define and deliver important programs with broad cross-organizational, cross-business, or significant technology impact in the AI/ML space.
* Investment Planning & Prioritization: Help formulate new investment ideas and lead the working backwards process to develop concepts that meet AWS standards for investment.
* Strategy & Goal Management: Own high-level strategy development and goal tracking processes across key cross-organizational initiatives.
* Technical Leadership: Bring strong, data-driven, and strategic technical judgment to decisions. Maintain deep knowledge of core system technologies related to AWS AI/ML research. Moderate and guide technical discussions to successful decisions.
* Cross-Functional Alignment: Proactively drive business and system-level reviews to align teams across organizations. Identify gaps and opportunities in architectures and processes.
* Solution Simplification: Decompose complex problems into straightforward solutions that minimize redundant engineering/science effort across teams.
* Leadership Communication: Partner effectively with all levels of management. Clearly represent complex decisions, trade-offs, and solutions to senior leadership.
About the team
Deep Science for Systems and Services (DS3) is a science organization within AWS Compute & ML Services focused on advancing AI/ML technologies in several key areas including large model inference cost performance, large model inference operational trust and safety, model customization, multimodal science with a focus on media/document content extraction, fault resilient training, classical machine learning (ML) like Auto Machine Learning and Graph Machine Learning.