Software Development Manager, Stores Foundational AI SFAI

Join us in building the systems that enable Amazons AI models to learn from real-world customer behavior and continuously evolve at massive scale.

We are seeking a Software Development Manager to lead the design and development of large-scale training data systems and experimentation frameworks that power Amazons next-generation shopping AI. This role leads a team responsible for building distributed systems that transform real customer interactions into measurable learning signals that continuously improve the Amazon shopping experience.

As a Software Development Manager you will define the technical vision and execution strategy for scalable systems that convert live traffic into structured datasets used across model training and evaluation workflows. You will lead engineers in building reliable production-grade infrastructure while partnering closely with applied scientists to analyze model behavior identify model quality gaps and translate those insights into improved training data recipes and experimentation frameworks.

This role operates at the intersection of ML infrastructure data science and production systems with end-to-end ownership spanning data ingestion training signal design experimentation and evaluation. You will drive the teams roadmap mentor engineers and collaborate across teams to ensure Amazons AI systems can continuously learn from real customer behavior.

You will also lead the integration of agent-driven systems that automate data curation evaluation and continuous model improvement helping redefine how large-scale AI training workflows evolve in production.

Key job responsibilities
Lead a team of engineers to design and build scalable training data systems that enable AI models to continuously learn;

Define the architecture and roadmap for high-throughput pipelines that transform customer behavior data to be used across model training and post-training workflows.

Partner with scientists to analyze model behavior identify model quality gaps and translate insights into improvements in training data coverage and learning signals.

Drive the design and evolution of training data recipes including sampling strategies signal weighting filtering and dataset composition to improve model performance.

Establish experimentation and measurement frameworks to validate training signal quality and ensure that data changes lead to measurable model improvements.

Ensure strong data governance security and compliance across large-scale production data workflows and ML training pipelines.

Provide technical leadership and architectural guidance for distributed systems and ML training infrastructure across multiple teams.

Lead the development of agent-driven workflows that automate data curation evaluation and continuous model improvement loops.

Hire develop and mentor engineers fostering a culture of ownership operational excellence and high engineering standards.

Collaborate cross-team with engineering science teams and partner organizations to accelerate AI model iteration and impact on the Amazon shopping experience.

- 5 years of Software Engineer Software Developer or related occupational experience
- 3 years of engineering team management experience
- 3 years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets

- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience in machine learning data mining information retrieval statistics or natural language processing
- Experience using business metrics and training data to track trend and manage the impact of training efforts

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 Companys 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 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 CA Palo Alto - 212700.00 - 287700.00 USD annually
USA WA Seattle - 184900.00 - 250200.00 USD annually