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Instacart is seeking a Senior Product Manager to own the Catalog team's product data infrastructure—the backbone powering how customers discover products, how brands appear on shelf, and how Instacart establishes trust as a definitive grocery data source.
In this role, you will set end-to-end strategy for catalog attributes (structured product descriptors that power search filters, badges, dietary signals, personalization, and agentic commerce). You'll lead governance, drive accuracy and coverage at scale, and work with a team of 7 engineers plus close partnerships with ML, Operations, and broader product leadership.
Key responsibilities include:
- Owning strategy and roadmap for catalog attributes, aligning cross-functional stakeholders around outcomes, metrics, and milestones
- Translating complex, ambiguous problems into structured execution plans spanning discovery, prioritization, launch, and scale
- Using data and customer insights to run experiments, understand root causes, and balance speed vs. accuracy across the attribute lifecycle
- Building strong relationships across Product, Engineering, Design, Analytics, Operations, ML, Sales, Ads, Search, Legal, Brand, and Support
- Establishing governance rituals, quality dashboards, postmortems, and platform investments to ensure attribute quality at scale
You'll thrive if you love operating at the intersection of ML/AI, operations, and commercial partnerships—holding a complex, multi-sided system together with clear thinking and strong execution.
Required: 5+ years of product management with meaningful time in catalog, data platforms, content systems, or ML/AI-adjacent products. Proven ability to set strategy, prioritize ruthlessly, and deliver outcomes in dynamic environments. Demonstrated proficiency using data to drive decisions (KPIs, experiments, precision/recall tradeoffs). Exceptional communication and trust-building across high-stakeholder environments.
Preferred: Marketplace, logistics, e-commerce, or consumer tech experience. Hands-on experimentation and analytics skills (A/B testing, SQL, dashboards). Product attribute systems or catalog data experience at scale. Familiarity with data pipelines, ML extraction, or quality frameworks (golden sets, human-in-the-loop, precision/recall). Experience translating commercial commitments into engineering requirements or working at the intersection of legal/compliance and data products. People leadership experience with coaching and inclusive culture focus.
