> Markdown version of [/jobs/ext/1725748-software-development-manager-creativex-dynamic-creative-optimization](https://www.wearedevelopers.com/jobs/ext/1725748-software-development-manager-creativex-dynamic-creative-optimization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Manager, CreativeX - Dynamic Creative Optimization - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $203,400.0 - $275,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Code Review, Software Product Management, Software Engineering, Web Services, Large Language Models, Build Process, Software Coding, Software Version Control - **Published:** July 19, 2026 - **Apply:** https://dejobs.org/x/x/E5BF01616E2741B09D17507A5CA0F19F/job/ ## About the Role * 3+ years of engineering team management experience * 7+ years of engineering 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 ## Description The CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented SDM to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences., * As a Software Engineering Manager you will be responsible for leading a strong team of engineers to innovate and deliver software and infrastructure that powers the Dynamic Creative Optimization. * Work backwards from the customer to invent new solutions and to improve existing software. * Work with the product and technical leaders to define the product direction and roadmap. * Create vision and execution documents. Insist on the high bar for technical documentation and the quality of the developed software. * Perform hands-on code reviews and other technical deep dives to ensure the right thing is being built and delivered to customers. * Hire, coach, and mentor software engineers. About the team In an ideal future, AI Gen models have evolved to a state where entire creatives are generated on the fly and precisely tailored to the immediate preferences of each shopper. We bring this vision to life by sourcing a collection of pre-generated assets and assembling them, in real time, into personalized creative experiences for every customer. Our mission is to improve advertiser outcomes by tailoring the visuals to each shopper and publisher. The AI space is rapidly evolving and combining optimization with Amazon's 1P audience data will be what enables us to leapfrog the competition. Through continuous creative optimization, we expect to learn how users interact with content across a variety of context. Our upstream teams will provide us an endless variety of content, informed by our learnings, via AI generation, transformation, and deconstruction. Advertisers will receive easily digestible insights to improve their future creatives. We succeed when shoppers see creatives personalized to their intent, publishers display creatives that match their unique look and feel, and advertisers benefit from increased performance. ## Related Videos - [Are Code Reviews Worth It? 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