Top eCommerce Product Manager Jobs in New York City, NY

Lead end-to-end card-present payments product strategy, prioritize discovery and launches, drive partner integrations, measure impact, develop business cases, collaborate with executives, and own feature launches to improve revenue and guest experience.

The Product Manager will own product experience from customer insights to launch, overseeing strategy, requirements, and collaborative development efforts.

The Head of Growth will architect and optimize growth marketing systems across channels, focusing on content strategy, audience targeting, and customer acquisition, while collaborating with product and design teams.

The Product Owner will lead the development of marketing templates in Adobe GenStudio, ensuring alignment with brand standards and enabling marketers to create scalable content quickly. Responsibilities include managing product roadmaps, defining requirements, and collaborating with cross-functional teams.

The Product Manager will own and grow the Brand Platform, driving innovation through collaboration, managing the product lifecycle, and optimizing user experiences for creators and brands.

The Product Marketing Manager at Quartzy will create positioning and messaging, drive go-to-market strategies, and collaborate across teams to support product launches and customer engagement.

The Product Owner will oversee the migration from QuickBooks to D365, manage project execution, and ensure stakeholder communication for optimal adoption.

Lead the development of a new AI product from discovery to launch, collaborating with cross-functional teams to define strategy, vision, and roadmap, while validating AI features and maintaining market competitiveness.

The Product Developer will manage the product development from concept to production, collaborate with teams, and ensure product quality and brand standards are met.

The Staff Product Manager will oversee the device processing technology, focusing on improving operational efficiency and cost reduction throughout processing stages, while collaborating with engineering and data analytics teams.