Senior PM owning vision and roadmap for In-Store Tasks product that uses computer vision to collect inventory intelligence data from thousands of stores. Requires 4+ years PM experience in complex physical environments plus strong data and cross-functional skills.
184k – 233k/yr
Remote4+ YOEProduct Management
About the role
Responsibilities
Own the vision, strategy, and execution for the In-Store Tasks product, focusing on shopper flows using computer vision technologies to build in-store inventory intelligence
Develop new capabilities and improve existing products to enable high-quality, high-efficiency data collection that scales to thousands of stores
Own data collection experiences: how shoppers receive and action tasks in-store, efficiently collect data for inventory and store maps, and monitor/optimize as scale increases
Build deep understanding of shopper workflows and operational pain points to design tools that improve scanning accuracy, speed, and shopper satisfaction
Work closely with retail partners to ensure tooling integrates naturally into their in-store environments
Partner with enterprise sales and retailer success teams to support partner onboarding, drive feature adoption, and contribute to shopper, customer, and retailer NPS/retention
Define platform solutions that scale across retailer sizes and store formats
Represent the in-store task roadmap with internal stakeholders and external partners
Requirements
4+ years of product management experience, ideally within operationally complex physical environments
Experience building products end-to-end from early concept through scaled delivery
Highly data-literate with analytical rigor to prioritize and make sound tradeoffs
Strong communication skills to influence cross-functional teams and senior stakeholders without direct authority
Deep understanding of shopper and retailer experience with accountability to customer and commercial outcomes
Entrepreneurial mindset, comfortable moving fast in evolving environments while maintaining high standards
Nice-to-Haves
Experience in operationally complex physical retail or logistics environments
Familiarity with computer vision technologies and in-store data collection systems
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