Staff Software Engineer

October 17, 2024

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Fetch Rewards

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Fetch Rewards is a company that operates America's Rewards App, leveraging the power of Fetch Points to drive consumer behavior and engagement across various industries, including Consumer Packaged Goods (CPG), retail, and restaurants. By offering custom-fit marketing solutions, Fetch helps brands increase sales, improve retention, and build lifelong consumer loyalty without relying on discounts. The platform offers dynamic in-app offers based on verified shopping behavior, designed to inspire specific business outcomes and increase customer engagement. Fetch Rewards partners with major brands and retailers, providing a robust data-driven approach to enhance buying frequency and customer retention.

Mobile applications • Grocery Retail • Shopper Data

501 - 1000 employees

Founded 2013

🛍️ eCommerce

🛒 Retail

💰 Debt Financing on 2022-04

📋 Description

• What we’re building and why we’re building it. • Every month, millions of people use America’s Rewards App, earning rewards for buying brands they love – and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. • Fetch is reshaping how brands and consumers connect in the marketplace. • Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. • At Fetch, we are on a mission to build the most comprehensive product catalog across every retailer in the U.S., and eventually the world. • Our catalog is the backbone of the Fetch platform, powering critical features such as personalization, relevance, search, and product matching. • We are seeking a Staff Software Engineer with deep expertise in building and scaling large, data-rich product catalogs.

🎯 Requirements

• 5+ years of experience building and maintaining large-scale, high-performance product catalogs or similar data-driven applications, with a strong focus on reliability, scalability, and accuracy. • Proven experience delivering software in a high-traffic production environment, with an emphasis on data quality, integrity, and operational excellence. • Strong proficiency in at least one of the following programming languages: Python, Go, Java, with the ability to write clean, efficient, and maintainable code. • Expertise in cloud-based distributed systems (AWS or similar), microservices architecture, and handling large-scale data ingestion and processing workflows. • Familiarity with machine learning techniques for data cleaning, enrichment, and classification tasks, such as entity resolution, named entity recognition, and image/text classification. • Strong understanding of data modeling and data structures, especially in building product catalogs with complex relationships between entities. • Experience with AdTech or systems that optimize and generate ad content using product metadata. • Experience using GenAI/LLMs to automate data cleaning, enrichment, and categorization tasks. • Knowledge of search system optimization and experience building or enhancing relevance and ranking algorithms. • Familiarity with taxonomy design, knowledge graph construction, or other advanced data modeling techniques to structure and enrich the catalog. • Experience with web scraping and data aggregation from diverse external sources to support catalog growth and data coverage.