Amazon.com Services LLC

Entertainment

SoftwareDevelopmentManager,AIStudios

$184–250k Culver City, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Software Development Manager, AI Studios at Amazon.com Services LLC. Skills: AI, ML, Software development, Content creation. Lead engineering teams. Mentor engineers”

What You'll Achieve.

Accelerate delivery; Improve system health

Industry & Context.

Entertainment
Problems you'll solve

Troubleshooting; Tradeoffs

Eligibility Requirements

On-call processes

What They're Looking For.

Must Have

3+ years engineering team management, 7+ years working in engineering teams, 3+ years designing or architecting systems, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management

Nice to Have

Experience communicating with users, Experience communicating with senior leadership, Experience recruiting engineers, Experience mentoring engineers, Experience managing engineering teams

What You'll Do.

Lead engineering teams

Build AI-native platform

Support animation workflows

Support live action workflows

Drive technical strategy

Make architecture decisions

Develop creator tooling

Establish engineering standards

Maintain development processes

Translate requirements

Develop engineering roadmaps

Own DCC tool integrations

Coordinate across teams

Deliver creator experiences

Drive operational excellence

Own system reliability

Manage incident response

Manage on-call processes

Raise system health bar

Recruit engineering talent

Develop engineering talent

Retain engineering talent

Foster technical growth

Foster constructive feedback

Stay current on AI/ML

Stay current on media processing

Stay current on distributed computing

Make build-vs-buy decisions

Identify technology opportunities

Review architecture proposals

Unblock team integrations

Prioritize model improvements

Drive sprint planning

Facilitate retrospectives

Guide design decisions

Represent team's work

Build content technology

How You'll Work.

Team & Collaboration

Cross-functional leaders; ML scientists; Applied scientists; Product managers; Creative professionals; VFX artists

Communication Scope

Technical designs; Product strategy

Process & Methodology

Roadmaps, Sprint planning, Retrospectives

Full Job Description

Join us as a Software Development Manager in the AI Studios Engineering org within Prime Video and Amazon MGM Studios, where you'll lead teams building intelligent systems at the intersection of AI and cinematic storytelling. This role offers an exciting opportunity to help build Nara, our AI-native content creation platform that empowers creators to produce professional animation and live action content featuring world-class intellectual properties at unprecedented speed and scale. In this role, you'll lead teams responsible for building production-quality code for AI-powered creative tools while mentoring experienced engineers and scientists. You'll work alongside creative professionals (animators, filmmakers, and storytellers) delivering features that directly transform how animation and live action/VFX content is made for Prime Video's most ambitious productions. This is an ideal opportunity for leaders who are passionate about AI/ML applications in entertainment and want to grow their skills while contributing to industry-defining products featuring iconic IPs. Key job responsibilities - Lead and mentor engineering teams building production-quality software for our AI-native content creation platform, supporting professional animation and live action/VFX workflows - Drive technical strategy and architecture decisions across the stack: backend services, media processing pipelines, APIs, ML model integrations, and creator-facing tooling, ensuring systems scale with production demands - Establish and maintain high engineering standards through code review practices, testing strategies, and development processes that produce clean, reliable, and maintainable software - Partner with cross-functional leaders including ML scientists, applied scientists, product managers, and creative professionals to translate ambiguous requirements into clear engineering roadmaps and deliverables - Own integrations with industry-standard Digital Content Creation (DCC) tools such as A

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