Get office catering from restaurants near you. Check out menus, reviews, and on-time delivery ratings. Backed by Insight, Lightspeed and SoftBank VF.
About the role
The Product Management team is looking for an experienced Senior Product Manager to focus on Discovery and Recommendations. In this position, you'll own the strategy and roadmap for how customers discover caterers, menus, and items they wouldn't have found on their own — including personalized recommendations, curated browse experiences, and merchandising surfaces like "you might also like" or featured collections.
What they're looking for
- 5+ years of product management experience focused on consumer-facing e-commerce products. Marketplace experience is a plus
- Proven experience innovating on behalf of customers. You're not just about maintaining the status quo - you strive to understand what customers truly need and find creative solutions
- Deep analytic ability, comfort working with and manipulating data, building hypotheses to inform innovative solutions
- Strong teamwork and collaboration skills, you’re happy spending much of your day collaborating with team members in different functional areas
- Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable
More about this role
ezCater is the #1 food tech platform for workplaces in the US. The company makes it easy for any organization to manage its food needs and order from over 125,000 restaurants nationwide. For workplaces, ezCater provides flexible and scalable solutions for everything from employee meal programs to one-off meetings, all backed by 24/7 service and business-grade reliability. For restaurant partners, ezCater helps grow their business by bringing them new high-value customers and large orders.
The Product Management team is looking for an experienced Senior Product Manager to focus on Discovery and Recommendations. In this position, you'll own the strategy and roadmap for how customers discover caterers, menus, and items they wouldn't have found on their own — including personalized recommendations, curated browse experiences, and merchandising surfaces like "you might also like" or featured collections. You'll partner with data science and engineering to build and refine recommendation models, define success metrics, and run experiments to continuously improve relevance and discovery. You'll also find ways to help customers feel confident in their choices, driving both customer...
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