Director Sp Advertiser Growth Sponsored Products Brands jobs at Amazon in United States, New York

Key job responsibilities
Job Responsibilities:• Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.
• Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
• Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience building complex software systems that have been successfully delivered to customers

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience with AI/ML technologies
- Experiences with LLM, prompt engineering

About Sponsored Products and Brands
Key job responsibilities
The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with AI/ML technologies

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

The leader will own developing new programs and initiatives such as a front-end experience for full-funnel advertising across Sponsored Products and Sponsored Brands - bridging upper, mid, and lower funnel SP and SB products, and LLM based solutions to simplify advertiser inputs and improve campaign outcomes through deeper advertiser understanding.

- 8+ years of applied science, technical product management, program management or engineering experience
- Experience with end to end product delivery
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience owning roadmap strategy and definition
- Experience owning feature delivery and tradeoffs of a product

- Masters Degree in Computer Science, Engineering or a related field

Application deadline: Dec 26, 2025Key job responsibilities
· Monitor alarm systems, dispatch local vendors, assist site maintenance and operations personnel with troubleshooting efforts, and administer requisite systems for data accuracy and communications.
· Triage and answer to alarm signals within standard service level agreements (SLAs) and escalates issues as needed to ensure the integrity of Amazon equipment reliability.
· Proactively evaluate the status of assets to identify potential issues that may require escalation to supervisors or management.
· Managing a communications suite that includes: multi-line telephones, radios, instant messaging clients and other internet protocol (IP)-based tools simultaneously (software multi-tasking).A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- High school or equivalent diploma
- Knowledge of Microsoft Office products and applications, including Word, PowerPoint, Excel, Outlook, InfoPath, SharePoint, etc.
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Experience in an IT/operations/call/command center work environment

About Sponsored Products and BrandsKey job responsibilities
Responsibilities:
- Lead science and engineering needs across ad systems and models that power sponsored products ads for offsite shopping experiences
- Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fit
- Scale ad product adoption across advertisers, agencies, and tool providers

- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- 5+ years of hands-on work in big data, machine learning and predictive modeling experience
- 5+ years of people management experience
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data, machine learning and predictive modeling
- Experience in people management
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language

We are looking for a Software Development Engineer to help build and scale the infrastructure powering Amazon’s next-generation agentic advertiser guidance framework. In this role, you will design and implement core components of the agent execution engine, evaluation pipelines, and model tuning infrastructure that enable agents to reason, plan, and act across complex advertiser workflows. You will work closely with senior engineers and applied scientists to translate research prototypes into robust, high-performance production systems. You will need to dive deep into new technologies—such as LLM deployment frameworks, reinforcement learning infrastructure, and multi-step reasoning orchestration—and quickly apply them to solve real customer problems. You will own well-defined but often ambiguous technical problems, ensuring your solutions are scalable, reliable, and directly contribute to advertiser-facing products. This role is highly impactful: your contributions will form the backbone of the systems that deliver personalized, context-aware guidance to millions of advertisers. You will collaborate across science, product, and platform teams, and your work will focus on building resilient, observable, and maintainable systems that accelerate innovation in agent-based AI.Key job responsibilities
- Implement core services and APIs for agent orchestration, tool invocation, and state management.
- Build scalable, reusable data and tool registry
- Build components of evaluation pipelines (offline/online) for measuring reasoning quality, advertiser outcomes, and safety guardrails.- Ensure performance, scalability, observability, and maintainability through strong engineering practices.- Continuously learn and apply new techniques in agentic frameworks, distributed systems, and cloud-native development.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

About Sponsored Products and BrandsKey job responsibilities
As a Software Development Engineer in Machine Learning, you will:
* Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
* Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
* Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent