Description What is the Amazon Marketplace? Amazon is the largest marketplace on earth. More than 300 million customers shop in Amazon’s marketplaces globally. Every day, customers browse, purchase, and review products sold by third-party sellers right alongside products sold by Amazon. Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach hundreds of millions of customers, build their brands, and grow their business. What is Amazon Strategic Account Services (SAS) and its’ purpose? The SAS Team aims to leverage the full potential of each Amazon Seller, helping them to navigate the increasing complexity of the eCommerce space. Our team provides in-depth strategic consultancy using a data-driven, collaborative, and Customer-focused approach to achieve commercial goals of Amazon Sellers. Our holistic service offering includes topics such as International expansion, Portfolio Optimization, Fulfillment Strategy, Product Presentation, B2B Sales, Promotions, Advertising Strategy and Brand Building. What is the role of a AI Program Manager? We are seeking an AI PM to lead the development and execution of both machine learning (ML) and Gen AI products that drive business value through forecasting, personalisation, and automation for both account managers, and for Sellers, delivering ML/AI-powered solutions that improve efficiency and customer experience. The successful candidate will be a highly collaborative, high-energy, self-starter, with strong business acumen and propensity to innovate. Key job responsibilities As an AI Program Manager: • You are a part of the EU SAS PMO team, leading AI efforts to understand the gaps in processes and leverage Gen-AI/ML technologies to find solutions that scale and reduce our cost to serve. • You will look at existing manual or automated SOPs and look for opportunities to derive insights and recommendations out of the data presented • You establish goals aligned with business objectives and consistently report on goal progress. Basic Qualifications - Bachelor's degree or equivalent, or experience in sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent - Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment - Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts - Foundational knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets - Experience in cloud architecture and implementation - Understanding of building personalization and recommendation systems using AI - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery and trade-offs of a product Preferred Qualifications - Knowledge of procurement and source to pay methods at small and medium businesses - Experience influencing at all levels within an organization, particularly at the executive level - Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy\_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.