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Job Details
Posted date: Mar 09, 2026
There have been 254 jobs posted with the title of Software Development Manager all time at Amazon.There have been 254 Software Development Manager jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $236,300
Range: $184,900 - $287,700
Description
Join us in building the systems that enable Amazon’s 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 Amazon’s 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 team’s roadmap, mentor engineers, and collaborate across teams to ensure Amazon’s 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.
Qualifications
- 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
Extended Qualifications
- 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 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.
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 https://amazon.jobs/en/benefits.
USA, CA, Palo Alto - 212,700.00 - 287,700.00 USD annually
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually