
Senior Product Manager, Catalog
Posted 13 hours ago

Posted 13 hours ago
This is a fully remote position, open to applicants in United States.
β’ Take ownership of the comprehensive strategy and roadmap for catalog attributes.
β’ Collaborate with cross-functional partners to align on outcomes, success metrics, and milestones.
β’ Simplify complex challenges into organized plans and lead execution from discovery through launch, iteration, and scaling.
β’ Oversee development efforts involving Operations, Engineering, Machine Learning, Legal, and commercial partners.
β’ Leverage data and customer insights to conduct experiments, pinpoint root causes, and craft solutions that balance speed and accuracy.
β’ Define key performance indicators (KPIs), analyze results, and navigate trade-offs between precision and recall.
β’ Foster relationships and feedback mechanisms across Product, Engineering, Design, Analytics, Operations, Machine Learning, Sales, Ads, Search, Legal, Brand, and Support.
β’ Implement governance rituals, quality dashboards, postmortems, and platform investments to ensure operational excellence.
β’ Collaborate with a team of 7 engineers while partnering with Machine Learning and Operations within the Catalog product organization.
β’ A minimum of 5 years of experience in product management.
β’ Significant experience in catalog, data platforms, content systems, or products related to ML/AI.
β’ Proven ownership of complex, cross-functional programs that have measurable impact.
β’ Ability to establish strategy, prioritize tasks, and deliver results in dynamic environments.
β’ Experience in creating governance structures and quality systems.
β’ Competence in utilizing data to inform decisions, define KPIs, collaborate with Analytics, analyze experiments, and understand precision/recall and ML model trade-offs.
β’ Outstanding written and verbal communication abilities.
β’ Preferred: experience in marketplaces, logistics, e-commerce, or consumer technology.
β’ Preferred: familiarity with A/B testing, SQL, dashboards, product attribute systems, catalog data, content management, data pipelines, ML extraction workflows, quality evaluation frameworks, legal/compliance, data products, and leadership skills.
β’ Equity grant for new hires.
β’ Annual refresh grants.
β’ Flex First work policy allowing employees to work from home, an office, or a preferred coffee shop.
β’ Regular in-person events.
β’ Competitive compensation and benefits packages.
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