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RedditDevelopment 2d ago

Product Manager, Catalogs & Applied Product Knowledge Graph (PKG)

United StatesUnited States
Full-time
$190,800 — $267,100 USD
Senior-Level

Job Description

Key Skills Required

Master these to land this role

Product ManagementAI EngineerAdTechE-commerceData Science & Analytics

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What You'll Do:

  • 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. Own the roadmap across four pillars: ROAS Drivers, Demand Enablers, Adoption Enablers, and Shopping @ Reddit Enablers.
  • Unlock new advertiser demand through catalog capabilities. Land Limitless Catalogs (20M+ catalogs, 5M+ product sets for Walmart, Amazon, Target, eBay), regional metadata for EMEA, and the Shopify integration that opens SMB Shopping to Reddit.
  • Build the Universal Catalog and Applied PKG. Partner with ACU to connect ad catalogs to the Product Knowledge Graph and to organic product mentions on Reddit. Define what the catalog ↔ PKG interface looks like, how scraped products augment advertiser-supplied catalogs, and how commercial-intent content understanding flows into both DPA performance and organic discovery.
  • Define and own the metrics. Catalog-driven ROAS*, catalog coverage of Product-Views in PKG, onboarding time, revenue unlocked by capability (EMEA, head, SMB). Build the dashboards and the goal-setting cadence; hold the team accountable.
  • Be the Shopping platform voice across Reddit. Represent Catalogs and Applied PKG in Shopping leadership reviews, the contextual-pivots working team, and exec readouts. Communicate clearly — in prose and in data — to PMs, engineers, sales, and senior leadership.

What You Bring:

  • Experience: 5+ years of Product Management experience. At least 3 years in AdTech, retail media, marketplaces, or shopping/e-commerce platforms.
  • Commerce / Product Understanding: Experience with product knowledge graphs, product entity resolution, or product taxonomies at scale.
  • AI fluency. 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.
  • Domain depth in shopping or product data systems. You've shipped product feed ingestion, catalog management, product knowledge graphs, retail media catalogs, or a comparable system. You know what product feeds look like at Google Merchant Center, Meta Commerce Manager, Pinterest, or TikTok Shop — and where they break.
  • 0-1 instincts paired with execution rigor. You can scope an MVP, ship it, and then operate it. You've done both — built net-new and improved a running production system.
  • Cross-functional leadership. 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.
  • Bias to action. Comfortable making decisions with imperfect information, making reasonable risk/reward tradeoffs, and recovering fast when wrong.

Nice to Have:

  • 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 with multi-region catalog/pricing systems (regional metadata, currency, localization).
  • Experience building or operating a Merchant Center, catalog QA tool, or advertiser-facing data console.

Perks and Benefits:

  • 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
  • Competitive salary and equity options
  • Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
  • Generous 401k matching
  • Flexible vacation policy
  • Paid parental leave (4+ months)
  • Family planning support
  • Paid volunteer time off

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