Enterprise Engagement Manager (Remote)

Unframe

$90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in enterprise-facing roles such as Program Manager or Engagement Manager.
  • Experience managing complex, multi-stakeholder projects, especially in AI or SaaS environments.
  • Strong project management skills with an ability to execute under pressure.
  • Fluency in both business and technical languages; adept at bridging communication gaps.
  • Exceptional communication skills in English, with knowledge of Hebrew as an advantage.
  • High attention to detail with a pro-active problem-solving approach.

Responsibilities

  • Own the delivery and adoption of AI solutions for enterprise accounts post-POC.
  • Collaborate with Product Managers to create actionable project plans based on customer needs.
  • Orchestrate stakeholders across various teams to ensure project alignment and success.
  • Define and measure success metrics like adoption and business impact.
  • Lead training sessions to help customers integrate AI solutions effectively.
  • Maintain project velocity by coordinating across internal teams to ensure timely deployments.
  • Identify and promote new use cases for AI to expand customer engagement.

Benefits

  • Flexible working environment to promote work-life balance.
  • Opportunities for professional development and structured growth within the company.
  • Dynamic and innovative team culture that fosters creativity.
  • Participation in shaping the product roadmap based on field feedback.
Full Job Description
About the Role

As an Enterprise Engagement Manager, you'll lead the delivery, adoption, and success of Unframe's AI solutions across our largest enterprise customers. You'll join our Product Growth team to turn tailored AI concepts into working solutions that deliver measurable business impact.

This is not a traditional "Customer Success" role. It's a hybrid of program management, product enablement, and customer partnership. You'll coordinate complex multi-stakeholder projects, ensure smooth rollout and adoption, and help customers expand the impact of Unframe's platform across their organization.
What You'll Do
  • 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.
What We're Looking For
  • 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.
Nice to Have
  • 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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