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. Basic Qualifications - 7+ years of technical product or program management experience - Bachelor's degree in engineering, computer science or equivalent - Demonstrated experience driving technical strategy and roadmaps for complex initiatives. - Strong record of influencing engineering and science teams in technical environments. - Experience working in ML/AI systems or related advanced technical domains. - Track record of strong written and verbal communication to gain buy-in for program direction and clearly communicate program status to leadership. - Demonstrated ability to manage complex projects and competing priorities. - Experience working directly with engineers and scientists in an agile development environment. Preferred Qualifications - Master's Degree in Computer Science or a similar technical field. - Prior experience working as a software developer, data scientist, ML engineer, or applied scientist. - Demonstrated experience with AWS services and cloud-based AI/ML systems. - Technical fluency; comfortable understanding and discussing technology concepts, schedule trade-offs and new opportunities with technical team members. - Demonstrated ability to successfully influence stakeholders without formal authority, leading cross-functional teams across geographies and business units. - Experience managing AI/ML research programs or translating research into practical systems. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,900/year in our lowest geographic market up to $231,400/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. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.