Senior Builder - Product Manager, Ring

Key job responsibilities

• Build rapid functional prototypes and launch new features using AI-coding tools (e.g., Cursor) and Git workflows to enable deep exploration and reviews of product ideas, user experiences, and technical feasibility.
• Drive ideation and early feature validation through automated analysis of internal data, marketplace and competitive research.
• Lead engineering workstreams that span app, cloud, and device firmware, directing the technical work of multiple Builders and using GenAI tools to accelerate delivery with scalable, high-quality code.
• Lead product definition and requirements generation for new experiences with cross-functional stakeholders.
• Manage prioritization and trade-offs among customer experience, performance, profitability, and operational support load.
• Proactively identify and resolve strategic and/or tactical issues that impair the teams' ability to meet goals.
• Lead next-generation connectivity, device power, and notification experiences.
• Identify and automate repetitive manual workflows for cross-functional teams using agentic workflows.
• Define AI-native systems and standards for product work across Ring — including how AI-generated output is validated and held to Amazon's quality bar — and sponsor AI transformation initiatives beyond your immediate team.

Basic Qualifications

• Bachelor's degree
• 5+ years of experience in software engineering and/or product management, including developing AI-powered applications.
• Demonstrated experience using LLMs and AI coding tools (vibe-coding) for strategy definition, requirements gathering, data analysis, UX design, and iterative development.
• Demonstrated experience building applications that incorporate GenAI (e.g., LLM calls, RAG, Agentic workflows, evals, etc).
• Demonstrated ability to champion the voice of customer from idea to launch.
• Demonstrated experience leading cross-team or cross-functional workstreams with multiple contributors and delivering measurable business-level outcomes.

Preferred Qualifications

• Experience engaging with emerging/frontier AI capabilities before they are mainstream and developing them into shipped product.