The role focuses on designing and implementing structured output review processes to validate analytical and AI-driven models, establishing quality benchmarks, and developing feedback loops for continuous model refinement. Additionally, the engineer will write advanced SQL, manage data warehouse structures, and design scalable data models to support GTM analytics and operational systems.
Candidates must possess advanced SQL proficiency, strong understanding of relational databases, and experience with data modeling and ETL processes, alongside deep acumen in SaaS go-to-market processes, revenue forecasting, and key SaaS metrics. A strong quality and analytical mindset with attention to detail is essential for designing validation frameworks.
Jungle Scout is the benchmark for Amazon intelligence. First to market and with over a decade of experience, Jungle Scout provides sellers, brands, retailers, and agencies with the broadest and deepest third-party (3P) Amazon marketplace data available. Our industry-leading suite of tools and market insights enables businesses to navigate Amazon’s complexities, accelerate growth, and maintain a competitive edge in a dynamic ecommerce landscape. Founded in 2015 as the first Amazon product research tool, Jungle Scout has evolved into a comprehensive platform that supports more than $50 billion in annual Amazon revenue. Today, our solutions power sellers of all sizes—from entrepreneurs to the world’s largest brands—helping them manage and grow their businesses with confidence. Headquartered in Chicago, Jungle Scout supports 10 global Amazon marketplaces. The Jungle Scout team is a group of smart, motivated, and fun-loving professionals dedicated to helping our customers succeed. With hub offices in Chicago, Austin and Vancouver, BC, our team thrives on innovation, collaboration, and a shared passion for shaping the future of ecommerce.