Enterprise Engagement Manager

Job not on LinkedIn

🕒 May 13

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

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Zuzeum Art Centre

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

📚 Education

📱 Media

Art • Education • Media

Zuzeum Art Centre is home to the largest private collection of Latvian art in the world, showcasing a variety of exhibitions and events. It offers an engaging space for visitors of all ages, including families and school groups, with activities like guided tours, workshops, and cultural performances. Additionally, the center features a café and shop that support local products, creating a welcoming atmosphere for art lovers and the community.

📋 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.

🎯 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