About the job
Do you want to shape Amazon's experimentation and impact-measurement capabilities in the era of Generative AI? As we navigate the rapidly changing landscape of e-commerce, your role will be crucial in shaping how Amazon teams, sellers, and vendors optimize catalog listings for a superior customer experience. Join the Catalog Experimentation and Impact Measurement (CEM) team on our mission to create the best product listings that help customers make well-informed, fast buying decisions. We build the feedback loops that let Large Language Models and Amazon teams enrich product data through experimentation at Amazon scale.
Responsibilities
1. Work backwards from the customer experience to define strategy and build a product roadmap for the Catalog Experimentation Platform (CEP), used to run A/B experiments on catalog listings.\n2. Launch new products and features by partnering with CEP engineering and science teams.\n3. Drive adoption by partnering with the teams building large language models for the catalog and with business stakeholders across different product categories.\n4. Partner with economists and other product managers on the team to develop frameworks and shape how business stakeholders and leadership think about impact-measurement methodologies.\n5. Represent CEP in Amazon-wide forums on experimentation and impact measurement.
Qualifications
Minimum
5+ years of product or program management, product marketing, business development or technology experience; Bachelor's degree; Experience with feature delivery and tradeoffs of a product; Experience owning/driving roadmap strategy and definition; Experience with end to end product delivery; Experience contributing to engineering discussions around technology decisions and strategy related to a product; Experience managing technical products or online services; Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred
Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline