We are searching for a talented Senior Product Manager - Technical (PM-T) to join our exciting team building the technical capabilities to measure Amazon's new generative artificial intelligence (GenAI)/large language model (LLM) products; a high-impact, high-visibility product for Amazon. In this role, you will be a core part of the product development team, owning the vision and design for our next feature release, working with Design, Engineering, and leadership to drive alignment on requirements to ensure the product meets the high bar and provide a delightful experience. This is an opportunity to bring your skills to bear and be involved in key design activities for a product that will be used by Amazon teams and users at all levels, including the most senior leadership across the entire company.

This is a highly visible product within Amazon and provides an opportunity to influence how teams tackle improving customer experiences. Our short -term (+/ 1 year) objective is to create a self-guided workflow and reporting application that can be used to create a monthly/quarterly reports for Amazon senior leadership. The reports on GenAI/LLM are used to make key strategic decisions about investments to positively impact customer experiences across many of Amazon’s products and services. The long-term objective, is to expand the usability of the application and scale the tool to any/all products at Amazon. A successful PM-T for this work will be able to dive deep into the technical design of this product, understand other Amazon and AWS products and services, identify trade-offs (both backend and frontend), surface hidden edge cases, drive decision making on build vs integrate, and influence and drive long-term product roadmap and success.

Key job responsibilities
- Own the experience and product design for post-MLP feature releases leading up to General Availability (GA), which includes enhancement features for the MLP (e.g., data ingestion automation) and new features making it easier for leaders to consume (e.g., executive dashboarding).
- Deeply understand user needs and effectively translate into product and technical requirements, regularly driving conversations with users and diving deep on their feedback to identify and prioritize high-impact features.
- Drive decision-making on the technical design of the in-scope features (e.g., integrate vs build), identify pros/cons and trade-off (both backend and frontend), and dependencies with MLP features and enhancement needed.
- Lead feature requirement gathering (e.g., writing business requirement documents), partner with design and engineering on the end-to-end product development lifecycle, drive consensus and alignment with leadership and business stakeholders.
- Define feature success metrics, leverage system and clickstream data to understand system performance and user behaviors, and provide recommendations and insights on product and performance improvements.
- Play a critical role in influencing the vision and product roadmap for the future (e.g., product capabilities, service model), write effective PRFAQs, stay at the forefront of technology advancements and push the tech frontier of the product.

A day in the life
Our team is dedicated to improving Amazon’s products and services through evaluation of the end-to-end customer experience using both internal and external processes and technology. Our mission is to deeply understand our customer’s experience, challenge the status quo, and provide insights that drive innovation to improve that experience. Through our analysis and our insights, we inform business decisions that directly impact customer experience as customers of new GenAI and LLM technologies.

About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understand and improve customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings - for almost every business at Amazon - for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).

Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team made up of a diverse set of profiles, skills, and backgrounds - including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.