Software Development Manager, ML Platform , AI Studios, AI Studios
New York, NYFull-timePosted Jul 29, 2026
Amazon AI Studios is building Nara, the AI-native production platform. Nara gives creative teams a single environment for ideation, asset generation, pipeline orchestration, and project management, with deep integrations into the professional tools creators already use. Productions across Live Action, Animation, and franchise work run on Nara today. The reasoning and generation models behind Nara's agent and creative tools are trained and served on CreativeFlux, a multi-tenant ML platform.
We are hiring a founding Software Development Manager to build and lead the CreativeFlux team within AI Studios Engineering. The team owns the training and inference fabric that backs every model AI Studios trains and serves. Model teams use CreativeFlux to launch distributed training jobs, serve production inference, and manage the lifecycle of their workloads through a single control plane.
The work spans the training plane, the inference plane, and the multi-tenant primitives that hold them together. The team owns architecture decisions for these layers and partners with the model teams who consume them. As more model teams onboard, the team will define how the platform evolves to meet new workload patterns. The reliability of the platform determines how fast every model team in AI Studios can ship.
Key job responsibilities
-Hire and develop the ML platform engineering team. Own the hiring bar, level mix, and performance and growth practice for the team;
-Drive the technical roadmap for the team's charter;
-Partner with Product, Creative, Science and other Nara teams on prioritization and delivery of the features.
-Set the engineering bar through design reviews, code review practice, and team mechanisms. Coach engineers and influence technical decisions across AI Studios Engineering
A day in the life
Every day cuts across hiring and developing the team, design reviews, roadmap partnership with stakeholders, team stand-ups, and at times rolling up your sleeves to code.
About the team
CreativeFlux is the multi-tenant ML platform that powers training and inference for diffusion models.
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services 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 partnering with product or program management teams
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
USA, NY, New York - 203,400.00 - 275,200.00 USD annually
We are hiring a founding Software Development Manager to build and lead the CreativeFlux team within AI Studios Engineering. The team owns the training and inference fabric that backs every model AI Studios trains and serves. Model teams use CreativeFlux to launch distributed training jobs, serve production inference, and manage the lifecycle of their workloads through a single control plane.
The work spans the training plane, the inference plane, and the multi-tenant primitives that hold them together. The team owns architecture decisions for these layers and partners with the model teams who consume them. As more model teams onboard, the team will define how the platform evolves to meet new workload patterns. The reliability of the platform determines how fast every model team in AI Studios can ship.
Key job responsibilities
-Hire and develop the ML platform engineering team. Own the hiring bar, level mix, and performance and growth practice for the team;
-Drive the technical roadmap for the team's charter;
-Partner with Product, Creative, Science and other Nara teams on prioritization and delivery of the features.
-Set the engineering bar through design reviews, code review practice, and team mechanisms. Coach engineers and influence technical decisions across AI Studios Engineering
A day in the life
Every day cuts across hiring and developing the team, design reviews, roadmap partnership with stakeholders, team stand-ups, and at times rolling up your sleeves to code.
About the team
CreativeFlux is the multi-tenant ML platform that powers training and inference for diffusion models.
Basic qualifications
- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services 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 partnering with product or program management teams
Preferred qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, NY, New York - 203,400.00 - 275,200.00 USD annually