
501 - 1000 employés
Fondée en 2007
🍽️ Alimentation et boissons
📦 Logistique
💼 Conseil
💰 €100 000 000 Series D en 2021-12
Food & Beverage • Logistics • Consulting
ezCater est une plateforme qui offre aux entreprises des solutions de traiteur, permettant aux sociétés de commander de la nourriture pour des réunions et événements auprès d'une large gamme de restaurants et traiteurs. La plateforme permet aux utilisateurs de gérer facilement les commandes, garantissant que toutes les préférences alimentaires et les besoins professionnels sont satisfaits de manière fluide. En se concentrant sur les clients d'entreprise, ezCater simplifie le processus de restauration, le rendant plus efficace pour les organisations souhaitant nourrir leurs équipes et invités.
🕒 il y a 1 mois
🗣️🇺🇸🇬🇧 Anglais requis
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501 - 1000 employés
Fondée en 2007
🍽️ Alimentation et boissons
📦 Logistique
💼 Conseil
💰 €100 000 000 Series D en 2021-12
Food & Beverage • Logistics • Consulting
ezCater est une plateforme qui offre aux entreprises des solutions de traiteur, permettant aux sociétés de commander de la nourriture pour des réunions et événements auprès d'une large gamme de restaurants et traiteurs. La plateforme permet aux utilisateurs de gérer facilement les commandes, garantissant que toutes les préférences alimentaires et les besoins professionnels sont satisfaits de manière fluide. En se concentrant sur les clients d'entreprise, ezCater simplifie le processus de restauration, le rendant plus efficace pour les organisations souhaitant nourrir leurs équipes et invités.
• Own our Enterprise Data Platform as a product — its capabilities, reliability, governance, cost, and readiness for AI and natural-language analytics • Define and continuously refine the platform’s vision and product strategy • Balance foundational work with high-leverage use cases across analytics, self-service, and AI • Own the definition of what makes a data product trusted and production-ready • Define how platform capabilities surface for users • Ensure the platform’s governed semantic models are the grounding layer for AI and natural-language analytics • Lead the move from the legacy environment onto the platform • Decompose work into small, estimable data-product units that ship quickly • Own platform health as a product promise — monitoring availability and resolving data incidents • Treat adoption as the job, measuring business impact and adjusting the roadmap accordingly • Define, instrument, and report the platform’s North Star and metrics • Operate as a peer to engineering and architecture, raising the bar for data-platform management
• 5+ years working in or directly with data engineering, data platform, or analytics teams • 5+ years owning data or analytics products, with direct data-product-management experience strongly preferred • Demonstrated success owning end-to-end data or platform products • Deep familiarity with modern cloud data-warehouse and lakehouse architectures • Strong SQL proficiency • Experience with business-intelligence and self-service analytics tools • Working knowledge of data governance, classification, access control, and data-quality practices • Hands-on exposure to AI-assisted or natural-language analytics tooling • Familiarity partnering with data-science and machine-learning teams • Proven ability to build and execute multi-quarter, multi-team plans • Excellent communication and stakeholder management skills
• Market competitive salary • Stock options • 12 paid holidays • Flexible PTO • 401K with ezCater match • Health/dental/FSA • Long-term disability insurance • Mental health and family planning resources • Remote-hybrid work from Boston office or home • Employee meal program
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