Senior Product Manager, Ads - Shopping Catalogs

Reddit is a community platform built around shared interests, passion, and authentic conversations. The Senior Product Manager will own Catalogs and Applied Product Knowledge Graphs end-to-end, leading advertiser onboarding, catalog innovation, AI-powered enrichment, shopping platform strategy, and cross-functional product development.

Responsibilities:

• Cut advertiser onboarding friction and prepare for the next phase of Shopping @ Reddit. Move catalog onboarding from days to hours through better error handling, automated feed-issue resolution, productID/item-group-ID matching improvements, and (longer-term) URL-to-catalog automation. Stand up the foundations of a Reddit Merchant Center
• Ship the next phase of catalog innovation. Drive LLM-based catalog enrichment (fill missing attributes, improve descriptions, derive gender/age/category), catalog-driven ad overlays ("Popular with Redditors", "Top Pick", price/promo), and Catalog Insights that show advertisers how their products perform organically and paid on Reddit. Help advertisers with catalog diagnostics to improve performance on ads and organic offerings
• Own the Catalogs & Applied PKG vision. Define the 1–3 year strategy that turns Catalogs into a platform - the spine connecting Reddit's paid and organic Shopping surfaces
• Unlock new advertiser demand through catalog capabilities. Land Limitless Catalogs (20M+ product catalogs for large retailers and marketplaces), regional metadata for global clients, and the Shopify integration that expands SMB Shopping on Reddit
• Build the Universal Catalog and Applied PKG. Collaborate with content understanding teams to connect ad catalogs to the Product Knowledge Graph and organic product mentions on Reddit
• Be the Shopping platform voice across Reddit. Represent Catalogs and Applied PKG in Shopping leadership reviews and exec readouts

Requirements:

• 5+ years of Product Management experience. At least 3 years in AdTech, retail media, marketplaces, or shopping/e-commerce platforms
• Experience with product knowledge graphs, product entity resolution, or product taxonomies at scale. An understanding of how digital shopping works across either organic or paid products
• Comfortable with creating scalable agentic workflows, using AI for data analysis, task automation and more. Evidence of building AI products - either at work or as hobby
• You can scope an MVP, ship it, and then operate it. You've done both - built net-new and improved a running production system
• You've delivered initiatives that span 3+ engineering teams plus PMM, Sales, and Ops. You communicate effectively with executives and earn trust with senior engineers
• Comfortable making decisions with imperfect information, making reasonable risk/reward tradeoffs, and recovering fast when wrong
• ML fluency. You've shipped ML-powered products in ads, content personalization, retrieval, ranking, or content understanding. You can reason about retrieval, candidate selection, ranking signals, and the tradeoffs between LLM-derived features and traditional features. You don't need to write the model; you need to know enough to lead the people who do
• Experience with LLM-driven content understanding or feature engineering
• Experience shipping for SMB-via-platform channels (Shopify, WooCommerce, BigCommerce)
• Experience building or operating a Merchant Center, catalog QA tool, or advertiser-facing data console