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Enterprise Engagement Manager at Zuzeum Art Centre | JobVerse
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Enterprise Engagement Manager
Zuzeum Art Centre
Remote
Website
LinkedIn
Enterprise Engagement Manager
New York, United States of America
Full Time
12 hours ago
No Visa Sponsorship
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Key skills
AI
GenAI
LLM
SaaS
Project Management
Communication
About this role
Role Overview
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.
Requirements
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
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