Senior Product Manager, Ads - Shopping Catalogs

Location: United States; 100% remote work opportunity, with optional hybrid or onsite work available in select U.S. office locations.

Base salary: $190,800–$267,100 USD per year, with potential equity and, depending on the position, commission.

Company

Work with a partner company building large-scale shopping, advertising, AI, and commerce products for advertisers and consumers.

What you will do

• Own the vision, strategy, and roadmap for Shopping Catalogs and Applied Product Knowledge Graph capabilities.
• Improve catalog ingestion, error handling, feed-issue resolution, product matching, and URL-to-catalog automation.
• Build scalable merchant tools for catalog management, diagnostics, optimization, and advertiser onboarding.
• Lead AI- and LLM-powered catalog enrichment, attribute completion, descriptions, categorization, and demographic inference.
• Develop catalog insights, dashboards, experiments, and performance metrics covering ROAS, product coverage, onboarding time, and revenue.
• Align engineering, machine learning, product marketing, sales, operations, and product teams around priorities and measurable outcomes.

Requirements

• 5+ years of Product Management experience, including at least 3 years in AdTech, retail media, marketplaces, shopping, or e-commerce platforms.
• Experience with product knowledge graphs, entity resolution, taxonomies, product feeds, catalog management, or comparable commerce data systems at scale.
• Experience shipping products and operating mature production systems across multiple engineering teams.
• Strong AI fluency and experience using AI for analysis, automation, prototyping, agentic workflows, or AI-powered products.
• Excellent executive communication, stakeholder management, analytical judgment, experimentation, and cross-functional influence.
• Experience balancing strategic product planning with hands-on execution from MVP through launch, iteration, and operational scaling.

Nice to have

• Familiarity with retrieval, candidate selection, ranking signals, personalization, and LLM-derived versus traditional features.
• Experience with LLM-driven content understanding, feature engineering, Shopify, WooCommerce, or BigCommerce.
• Experience with multi-region catalog, pricing, currency, localization, merchant center, catalog quality, or advertiser console products.

Culture & Benefits

• Remote-first work with optional hybrid or onsite arrangements in select U.S. locations.
• Medical, dental, and vision insurance, plus a 401(k) program with employer matching.
• Flexible vacation policy, generous paid time off, and paid parental leave of 4+ months.
• Family planning support, home-office setup stipend, and paid volunteer time off.
• Collaborative work across engineering, machine learning, advertising, commerce, and consumer experiences.

Hiring process

• hirify.global uses an AI-powered matching process to review applications and share a shortlist with the hiring company.
• Interviews and assessments, as well as final hiring decisions, are managed by the partner company's internal team.