Enterprise Engagement Manager

Emploi pas sur LinkedIn

🕒 il y a 29 jours

🗽 New York – Distant

🗽 New York – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👔 Manager

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Zuzeum Art Centre

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2020

📚 Éducation

📱 Médias

Art • Education • Media

Le Centre d'Art Zuzeum abrite la plus grande collection privée d'art letton au monde, proposant une variété d'expositions et d'événements. Il offre un espace engageant pour les visiteurs de tous âges, y compris les familles et les groupes scolaires, avec des activités telles que des visites guidées, des ateliers et des spectacles culturels. De plus, le centre dispose d'un café et d'une boutique qui soutiennent les produits locaux, créant une atmosphère accueillante pour les amateurs d'art et la communauté.

Description

• Own delivery and adoption of Unframe’s AI solutions across enterprise accounts, from post-POC rollout through expansion. • Partner with Product Managers to translate customer needs into actionable project plans and ensure execution at scale. • Orchestrate stakeholders. Manage alignment across business, IT, and data teams within large organizations. • Define and measure success: track adoption, usage, and business impact to demonstrate value. • Lead enablement and training sessions that help customers operationalize Unframe’s AI solutions. • Ensure project velocity. Coordinate between internal teams (Product, Engineering, Solutions) to keep deployments on time and on scope. • Identify expansion opportunities by surfacing new use cases and operational gaps that AI can solve. • Provide structured feedback from the field to shape Unframe’s product roadmap and delivery playbooks.

🎯 Exigences

• 3+ years in enterprise-facing roles such as Program Manager, Engagement Manager, Enterprise CSM, Implementation Lead, or Technical Account Manager. • Proven experience managing complex, multi-stakeholder enterprise projects, ideally involving AI, data, or SaaS platforms with digital transformation elements. • Strong execution and project management skills. Able to plan, coordinate, and deliver under tight timelines. • Business-technical fluency. You can translate between executives, engineers, and users with ease. • Excellent communication and relationship-building skills in English (Hebrew a plus). • High ownership, attention to detail, and a hands-on, problem-solving mindset. • Experience with AI, automation, or data-driven enterprise transformations. • PMO certification or structured project management background • Background working with LLM or GenAI products. • Technical fluency - able to understand API integrations or data workflows. • Previous experience in consulting